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REVIEW Open Access
Work-related leukemia: a systematic review
Ioannis Polychronakis1*, George Dounias2, Vasilios
Makropoulos2, Elena Riza1 and Athena Linos1
Abstract
Leukemia is a complex disease, which only became better
understood during the last decades following the
development of new laboratory techniques and diagnostic
methods. Despite our improved understanding of the
physiology of the disease, little is yet known about the causes
of leukemia. A variety of potential risk factors have
been suggested so far, including personal habits and lifestyle,
and a wide range of occupational or environmental
exposures. A causal association with leukemia has only been
documented to date for ionizing radiation, benzene
and treatment with cytostatic drugs, but there is an ongoing
scientific debate on the possible association of
leukemia with a number of other work-related hazards. In this
article, we have reviewed scientific studies, published
over the past 5 years, which investigated potential associations
between leukemia and exposure to occupational
risk factors. The systematic literature review took place via
electronic databases, using specific search criteria, and
independent reviewers have further filtered the search results to
identify the number of articles, presented in our
paper. A large number of studies included in the review referred
to the effects of ionizing radiation, where new
data suggest that the effects of exposure to small doses of
ionizing radiation should probably be reevaluated. Some
other works appear to substantiate a potential association of the
disease with certain pesticides. Further research is
also suggested regarding the role of infectious agents or
exposure to certain chemicals like formaldehyde or
butadiene in the pathogenesis of leukemia.
Keywords: Leukemia, Exposure, Occupation, Worker, Work-
related, Hazard, Risk-factor
Review
Introduction
The term "leukemia" refers to a group of diseases with
different biological background, clinical presentation,
prognosis and response to treatment, characterized by a
malignant transformation of hematopoietic cells which
produce an abnormal leukemic population (clone) of cells
suppressing the production of normal blood cellular com-
ponents. The disease was first identified in the mid-19th
century when different researchers described a common
pathology caused by abnormalities of the white blood cells
[1], hence the term “Leukemia” which originates from the
Greek words “Leuko” (white) and “Haema” (blood). While
scientific research has advanced significantly since then as
regards to the underlying pathophysiology of the various
types of the disease, our knowledge on the causative
factors involved in the development of leukemia is
still limited.
Different researchers have proposed a number of po-
tential risk factors for leukemia, but to date exposure to
ionizing radiation, alkylating agents and benzene [2] re-
main the only hazards for which an association with
leukemia has been substantiated.
An association between ionizing radiation and leukemia
was first assumed in the early 20th century, following the
effects of uncontrolled exposure of patients and medical
personnel to the radiation used for diagnostic and thera-
peutic purposes [1,3]. Those observations were further
corroborated by the findings of Life Span Study (LSS)
among the A-Bomb survivors of Hiroshima and Nagasaki
[4-7], which persist for decades following exposure to radi-
ation [8,9] and the follow-up studies among cleaning-
workers in Chernobyl reactor site [10].
Benzene is according to the current scientific knowledge
the second best-documented risk factor for the develop-
ment of leukemia [11]. Its chemical properties have led to
its widespread use as a solvent in a number of industrial
applications, and occupational exposure to benzene has
been documented for workers in different production sec-
tors i.e. production of chemicals, pharmaceuticals, plastics,
* Correspondence: [email protected]
1Department of Hygiene, Epidemiology and Medical Statistics,
University of
Athens, Medical School, 75 Mikras Asias 115 27, Goudi,
Athens, Greece
Full list of author information is available at the end of the
article
© 2013 Polychronakis et al.; licensee BioMed Central Ltd. This
is an Open Access article distributed under the terms of the
Creative Commons Attribution License
(http://creativecommons.org/licenses/by/2.0), which permits
unrestricted use,
distribution, and reproduction in any medium, provided the
original work is properly cited.
Polychronakis et al. Journal of Occupational Medicine and
Toxicology 2013, 8:14
http://www.occup-med.com/content/8/1/14
mailto:[email protected]
http://creativecommons.org/licenses/by/2.0
synthetic rubbers, paints, oil processing etc. [12-14].
Epidemiological studies have shown a significant associ-
ation between exposure to Benzene and the incidence of
acute myeloid leukemia (AML) [15-17].
Cytostatic drugs, and especially chemotherapeutic regi-
mens containing alkylating agents such as Busulfan,
Chlorambucil, Cyclophosphamide etc. used in the treat-
ment of solid organ malignancies are another documented
risk factor for developing leukemia, as a number of clinical
trials on cancer therapeutics has shown an association be-
tween this category of drugs and the development of sec-
ondary leukemia [18], particularly AML [19]. Despite their
known toxicity to oncology patients and the precautionary
measures taken to prevent occupational exposure, a num-
ber of workers from different disciplines could be exposed
to significant concentrations of cytostatic drugs during
their production, transportation, distribution, preparation
and administration to patients [20-22]. Nevertheless, little
is known regarding the potential effect of this exposure on
the risk of developing the disease [23-26].
Taking into account the limited knowledge on its ac-
tual causes, the investigation of the role of different
work-related risk factors in the development of leukemia
would be of great scientific interest, providing valuable
insight on the etiology of the disease and the available
options for the protection of health of specific categories
of workers or the public, given the widespread use of dif-
ferent chemical compounds and technological applica-
tions in common consumer products.
The growing number of related publications over the last
years indicates an increasing concern of the scientific com-
munity and recent studies have presented new information
as regards our cumulative experience from the application
of different technologies and chemical or biological factors
in industry, necessitating a review of the current literature
on the subject.
Therefore through this paper we systematically col-
lected and summarized all relevant scientific informa-
tion that has been published internationally in the
English language over the last years, exploring the
potential role of occupational "risk factors" in the devel-
opment of the disease.
Materials and methods
The article review on the role of occupational risk factors
in the development of leukemia took place between
September and December 2010. The literature search was
carried out via the internet, using the online medical
database "Pubmed" supported by the US National Library
of Medicine and the more generic search-engine
"Google Scholar".
The methodology followed by the research team for the
selection of articles is presented schematically in Figure 1.
At a first stage, all published articles containing the
word "leukemia” as part of their title, as a key-word or
as a reference in their full text have been collected.
A set of criteria was adopted to narrow down the
search results, excluding studies published more than
5 years prior to the review, studies that referred to sub-
jects younger than 18 years (since the review referred
to work-related risk factors) and studies whose full
text was not available in English. All types of publica-
tions (i.e. prospective or retrospective studies, original
articles, literature reviews, meta-analyses etc.) were
considered at this stage.
The initial search recovered more than 10.000 articles
(629 literature reviews) who were filtered by 2 different
reviewers as regards their pertinence to the scopes of the
study. The reviewers screened the abstracts of all col-
lected articles and considered for further review only
studies that referred to the potential effect of various
risk factors (exposures) in the development of leukemia.
The occupational or environmental nature of exposure
was not examined at this stage. The review investigated in-
formation on the potential role of occupational risk factors
regardless of the research type (toxicological, molecular,
epidemiological study etc.) therefore no selection took
place on the basis of specific study design. Nevertheless,
with the exception of a number of articles who were fur-
ther reviewed to elucidate potential points of interest, the
overwhelming majority of clinical trials and laboratory
studies were clearly non-relevant to the context of the re-
view and were directly excluded, limiting the number of
articles at the end of second phase to 278.
For the final selection process the remaining articles
were examined in detail by both reviewers. In cases of
agreement, the corresponding articles were either ex-
cluded or included in the final list, while in cases of ambi-
guity there was further discussion among the 2 reviewers
and a third reviewer who played the role of a referee, in
order to reach consensus.
Articles considered eligible for inclusion were those
that referred to specific categories of workers or expos-
ure to occupational hazards and their effect on leukemia.
The role of environmental exposures on leukemia was
beyond the scope of this paper and all related studies
were subsequently excluded.
A limited number of the reviewed articles on ionizing
radiation and benzene did not refer specifically to occu-
pational exposure, but their findings were considered
significant for understanding the role of those hazards
in occupational settings and were thus included in the
final list. Finally, while leukemia in children was beyond
the objectives of this study, the effect of parental occu-
pational exposure on the risk of the disease among their
offspring was considered work-related and therefore
similar studies were also included in the final review.
Polychronakis et al. Journal of Occupational Medicine and
Toxicology 2013, 8:14 Page 2 of 16
http://www.occup-med.com/content/8/1/14
The 71 final studies, along with their main findings are
presented in Tables 1, 2 and 3 classified according to the
author, year, type of study and type of exposure. Table 1
presents the reviewed articles on physical hazards, Table 2
presents articles on chemical and biological hazards and
Table 3 refers to others types of hazards and specific cat-
egories of workers.
Main findings
Ionizing radiation
As anticipated, the largest proportion of studies referred
to ionizing radiation, which is to date the best docu-
mented risk factor for leukemia.
An update of Life Span Study findings has shown that
exposure to ionizing radiation at doses as low as those
usually recorded in occupational settings, leukemia inci-
dence follows a quadratic dose response pattern, which
peaks about 10 years following exposure and persists for
decades [6,9]. Moreover, there is uncertainty on whether
the proposed safety limits from the International Commis-
sion on Radiological Protection (ICRP) are appropriate,
since revised LSS data show that the risk of leukemia
remains increased even in groups with low cumulative
exposure to radiation while most of the existing studies do
not have sufficient statistical power to identify existing
associations at such low exposure levels [98,99].
Ongoing observations on the impact of Chernobyl acci-
dent have shown that predictions based on LSS data
present a high margin of error [100]. To date, a statistically
significant increase of leukemia incidence has only been
observed among the cleaning personnel that worked
around the reactor site after the accident [29,30]. The
study of Abramenko et al on specific genetic variants of
CLL among this group of workers [28] implies a potential
association among exposure to radiation and CLL which
warrants further investigation given the lack of supporting
evidence from previous studies.
As regards to a potential excess risk of leukemia
among workers in the nuclear industry, the results of
recent studies remain inconclusive. A number of studies
among workers in nuclear-weapon industry have pro-
duced negative results [32-37] and despite sporadic
positive findings, no significantly increased risk of
leukemia has been established to date for nuclear power
plant personnel [38,98,99] and other categories of
workers involved in other industrial applications of
Figure 1 Article selection process for the review. The chart
presented in this figure shows the overall process for the
selection of articles from
the initial electronic search to the final selection of the
reviewed studies.
Polychronakis et al. Journal of Occupational Medicine and
Toxicology 2013, 8:14 Page 3 of 16
http://www.occup-med.com/content/8/1/14
Table 1 Reviewed articles on physical hazards and leukemia
Researcher Year Type of study Exposure Main findings
A. Ionizing radiation and leukemia
1) Update of LSS study findings
Little et al. [6] 2009 Review Ionizing radiation Leukemia RR
follows the pattern of LSS study for low dose (occupational)
exposure -
Lower RR per dose unit for higher doses of radiation
Richardson et al. [9] 2009 Cohort study Ionizing radiation
Exposure to >5 mGy of radiation is responsible for 1/3 of
leukemia cases after 5 decades –
ERR/Gy follows a quadratic dose-response model for AML.
ALL and CML mortality follow
a linear dose-response model.
2) Cleanup workers employed in Chernobyl nuclear incident
Rahu et al. [27] 2006 Cohort study Ionizing radiation No
significant increase in leukemia incidence among workers (SIR
1.53, 95% CI 0.62 - 3.17).
A marginally significant increase has been observed among
Latvian workers but it was
based on a small number of cases.
Abramenko et al. [28] 2008 Cohort study Ionizing radiation
Among a cohort of CLL patients, specific genetic
polymorphisms where observed
more frequently among cleanup workers exposed to radiation
following the
nuclear accident in Chernobyl than in non-exposed CLL patients
Romanenko et al. [29,30] 2008 Nested case-
control study
Ionizing radiation Positive linear trend (p = 0.03) between
increasing exposure to radiation and leukemia risk.
The ERR/Gy for leukemia was 3.44 (95% CI 0.47 – 9.78). A
linear dose - response relationship
has been shown for ALL and (surprisingly) for CLL.
Kesminiene et al. [31] 2008 Case-control study Ionizing
radiation A statistically significant association was shown (at
90% but not at 95% level) between AL and
employment as a cleanup worker in the surrounding area (<30
km) of Chernobyl accident
site (OR 8.31, 90% CI 1.17 - 122).
3) Workers in nuclear industry
Boice et al. [32] 2006 Cohort study Ionizing radiation No
significant increase in leukemia mortality (SMR 1.21, 95% CI
0.69- 1.97) or increased leukemia
risk for the highly-exposed group (RR 1.34, 95% CI 0.73–2.45)
was shown among workers.
Richardson et al. [33] 2007 Cohort study Ionizing radiation
(& exposure to chemicals)
A borderline significant increase of leukemia mortality was
shown (at 90% but not at
95% level) only for operators and manual workers (SMR 1.36,
90% CI 1.02 - 1.78) and
for workers employed >30 years (SMR 1.63, 90% CI 1.07 -
2.52).
Richardson et al. [34] 2007 Nested case-
control study
Ionizing radiation Assuming a 3-year time lag, no significantly
increased ERR/10 mSv was shown for all leukemias
(0.041, 90% CI -0.001 – 0.116), for leukemias excluding CLL
(0.077, 90% CI 0.014 – 0.198)
or for myeloid leukemia (0.123, 90% CI 0.021 - 0.354).
Schubauer-Berigan et al. [35] 2007 Nested case-
control study
Ionizing radiation A non-significant positive association
between radiation dose and leukemia risk was shown
for doses 10 - 100 mSv, with an estimated ERR/10 mSv of 0.068
(95% CI -0.029 - 0.24).
Schubauer-Berigan et al. [36] 2007 Nested case-
control study
Ionizing radiation A non-significant positive association
between radiation dose and CLL risk was shown for
doses 10 - 100 mSv, with an estimated ERR/10 mSv of 0.20
(95% CI -0.035 – 0.96).
Matanoski et al. [37] 2008 Cohort study Ionizing radiation No
statistically significant increase of leukemia mortality (SMR
0.91, 95% CI 0.56 – 1.39
and 0.42, 95% 0.11 – 1.07 for exposure to > 5.0 mSv and <5.0
mSv of radiation respectively)
was shown among workers
Ashmore et al. [38] 2010 Review Ionizing radiation Previous
study of IARC (2005) who found no statistically significant
association between
leukemia and radiation exposure among workers in nuclear
industry could be biased
due to inaccurate estimation of exposure.
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Table 1 Reviewed articles on physical hazards and leukemia
(Continued)
4) Medical applications of radiation
Lie et al. [39] 2008 Cohort study Ionizing radiation No
significant increase in leukemia risk was found for the group
nurses with the
longest (> 30 years) employment in posts exposed to radiation
compared to the
group of non-exposed nurses (RR 0.77, 95% CI 0.35 – 1.69).
Samerdokiene et al. [40] 2009 Cohort study Ionizing radiation
No significant increase in leukemia incidence (SIR 3.3, 95% CI
0.68- 9.63 for men and
2.67, 95% CI 0.92-4.2 for women) was shown among personnel
employed in medical
applications of ionizing radiation.
Ramos et al. [41] 2008 Case-control study
(exposure assessment)
Ionizing radiation The projected risk of leukemia cases/1000
person-years based on cumulative radiation exposure
among a group of interventional radiologists differed between 2
methods of exposure assessment
(1.07-3.98 according to the physical method compared to 1.07-
11.21 for the biological method)
suggesting a potential improper use of personal dosimeters.
Ramos et al. [42] 2009 Molecular
epidemiological study
Ionizing radiation The projected LAR of leukemia (cases/1000
person-years) among interventional radiologists
due to radiation exposure, was much higher according to
biological methods of exposure
assessment (9.2) compared to physical methods (2.18).
5) Industrial applications of ionizing radiation
Ahn et al. [43] 2008 Cohort study Ionizing radiation
(industrial applications)
No statistically significant increase of leukemia SMR or SRR
was shown among personnel
exposed to radiation (workers in medical applications, research
laboratories, nuclear
facilities, non-destructive testing, military facilities etc.).
6) Extraction and use of uranium compounds
Storm [44] 2006 Cohort study Depleted uranium No statistically
significant increase of leukemia incidence was found among
military personnel
exposed to depleted uranium used during military operations
(SIR 1.4, 95% CI 0.4 - 3.5).
Mohner [45] 2006 Case-control study Uranium mining
(radionuclides)
No significant increase of leukemia risk was found in the group
with the highest cumulative
exposure to radon (> 400 mSv) compared to the low exposure
group (OR 2.21, 90% CI 1.25–3.91).
Mohner [46] 2010 Case-control study Uranium mining
(radionuclides)
No significant increase of leukemia risk was found among the
group of workers
with the highest (> 200 mSv) cumulative exposure (OR 1.33,
90% CI 0.82-2.14).
B. Non-ionizing radiation (EMF) and leukemia
Roosli [47] 2007 Cohort-study ELF EMF A significantly
increased Hazard Ratio was shown for myeloid leukemia among
the
workers with the highest exposure to ELF EMF (HR 4.74, 95%
CI 1.04-21.6, p=0.035).
Kheifets [48] 2008 Meta-analysis EMF A small but statistically
significant increase in leukemia risk was found among the
exposed group (RR 1.16, 95% CI 1.11-1.22 for all leukemias).
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Table 2 Reviewed articles on chemical and biological hazards
and leukemia
Researcher Year Type of study Exposure Main findings
1) Exposure to benzene
Zhang [49] 2007 Molecular
epidemiological study
Exposure to benzene A statistically significant increase % of
genetic aberrations commonly observed in
chemotherapy-related leukemias has been shown among workers
exposed to
benzene compared to non-exposed controls.
Richardson [50] 2009 Cohort study Exposure to benzene The
observed pattern of leukemia mortality among rubber-
production workers exposed to
benzene, compared to the prediction of a TSCE statistical model
suggests that benzene
plays a role to the kinetics of cancer cells rather than the initial
malignant transformation.
Rushton [51] 2010 Ecological study Exposure to benzene The
Attributable Fraction (AF) of population mortality from acute
non-lymphocytic
leukemia related to occupational exposure to benzene was
estimated at
0.25% (95% CI 0.0-4.65).
2) Exposure to organic solvents (incl. benzene)
Costantini et al. [52] 2008 Polycentric case-
control study
Organic solvents A significant increase of CLL risk has been
shown among the groups of workers with
moderate – high exposure to Benzene (OR 1.8, 95% CI 0.9-3.9),
and high exposure
to Xylene (OR 1.9, 95% CI 0.8-4.5) and Toluene (OR 2.1, 95%
CI 0.9-4.7).
Cocco et al. [53] 2010 Case-control study Organic solvents A
small but statistically significant increase of CLL risk (OR 1.3,
95% CI 1.1-1.6) was
shown for workers ever exposed to organic solvents (exposure
to any solvent or
combined exposure of benzene with toluene, xylene or gasoline)
compared to non-exposed.
Lehman et al. [54] 2006 Cohort study Organic solvents No
statistically significant increase in mortality from leukemia was
found among
exposed workers in footwear industry, compared with the
general population
(SMR 1.01, 95% CI 0.67-1.48).
3) Exposure to Dioxins
Atallah et al. [55] 2007 Case-report Dioxins – Agent Orange A
rare case of Acute Promyelocytic Leukemia (APL) in a former
USAF pilot, who
was involved in spraying Agent Orange during the Vietnam
War, was reported.
Collins et al. [56] 2009 Cohort-study TCDD No significant
increase of leukemia mortality was shown among exposed
workers
(SMR 1.9, 95% CI 1.0- 3.2). No significant association was
shown between leukemia
mortality and cumulative exposure (ppb) to TCDD (p=0.34).
4) Exposure to chemical compounds used in the synthetic rubber
industry
Delzell et al. [57] 2006 Cohort-study BD, DMDTC and Styrene
A positive association was shown between (all) leukemias, CML
and CLL mortality and
occupational exposure to BD. A positive association was also
found between leukemia
and exposure to Styrene or DMDTC, but in both cases there was
also co-exposure to BD.
Beall et al. [58] 2007 Cohort-study Solvents, aromatic amines
No increased leukemia incidence (SIR 0.68, 95% CI 0.14-1.98)
or mortality (SMR 0.95,
95% CI 0.31- 2.23) has been observed among exposed workers,
compared to
the general population.
Cheng et al. [59] 2007 Cohort-study BD A statistically
significant association was shown between leukemia risk and
exposure
to BD, for cumulative exposure in ppm-years (RR 3.84, 95% CI
1.51- 9. 76), frequency
of exposure (RR 4.26, 95% CI 1.62-11.21) and average
exposure in ppm (RR 3.93,
95% CI 1.5-10.32).
Sathiakumar et al. [60,61] 2009 Cohort-study BD and Styrene In
contrast to the results observed among men workers, no
statistically significant
association was found between exposure of women workers to
BD and mortality
from leukemia (SMR 0.78, 95% CI 0.38-1.44).
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Table 2 Reviewed articles on chemical and biological hazards
and leukemia (Continued)
5) Exposure to Formaldehyde
Beane Freeman [62] 2009 Cohort-study Formaldehyde A non-
significant increase in mortality from (all) leukemias (RR 1.42,
95% CI 0.92- 2.18)
and myeloid leukemia (RR 1.78, 95% 0.87- 3.64) was shown in
the group with the
highest exposure (> 4ppm) compared to the group with the
lowest exposure.
Hauptmann [63] 2009 Case-control study Formaldehyde A
statistically significant association between mortality from
myeloid leukemia and
increasing years of employment (p=0.02) or maximum exposure
to formaldehyde
(p=0.036) was shown among embalmers.
Zhang [64] 2010 Molecular
epidemiological study
Formaldehyde A statistically significant decrease of cell-lines,
reduced activity of the CFU-GMs and
increase of leukemia-related genetic aberrations has been shown
among workers
exposed to formaldehyde compared to non-exposed controls.
Speit [65] 2010 Letter to the editor Formaldehyde A number of
methodological issues call into question the reliability of the
findings
of the study of Zhang et al, on in-vitro evidence of leukemia-
specific chromosomal
changes in workers exposed to formaldehyde.
6) Exposure to Lead
Lam [66] 2007 Cohort study Occupational
exposure to lead
A non-significant increase of CML incidence was shown (SIR
1.75, 95% CI 0.02- 9.71)
among the cohort of workers exposed to lead (metal
constructions, metal processing
industry, foundries, manufacture of batteries and electronics,
glass production).
7) Exposure to different types of pesticides, herbicides and
insecticides
Mahajan [67] 2006 Cohort study - (AHS) Organophosphate
pesticide - Fonofos
A statistically significant increase of leukemia risk was found
among pesticide applicators
with the highest exposure (based on duration and intensity of
exposure) compared to the
non-exposed (RR 2.67, 95% CI 1.06-6.70).
Mahajan [68] 2006 Cohort study - (AHS) Organophosphate
pesticide - Phorate
The small number of recorded cases of leukemia among exposed
workers did not
allow for any reliable conclusions.
Miligi [69] 2006 Case-control study Different groups of
pesticides
No significant association with leukemia risk was shown for
exposure to fungicides
(OR 1.0, 95% CI 0.7 -1.3), herbicides (OR 1.4, 95% CI 0.8-2.3),
insecticides (OR 1.0, 95% CI
0.7 -1.4), molluscicides (OR 0.9, 95% CI 0.3-2.5) or
rodenticides (OR 0.4, 95% CI 0.1-1.2).
Hansen [70] 2007 Cohort study Arsenate pesticides, Atrazine,
Dichlorvos, Captafol, Amitrol,
Lindane, DDT
A significant increase of leukemia incidence (SIR 2.33, 95% CI
1.32- 4.10) was found among
the group of gardeners with high exposure to pesticides,
previous to the 1960 restriction
of the use of potentially carcinogenic substances.
Purdue [71] 2007 Cohort study - (AHS) Organochlorine
insecticides
(Aldrin, Chlordane, DDT, Dieldrin,
Heptachlor, Lindane, Toxaphene)
A marginal statistically significant association was found
between the leukemia risk and
previous use of any of the Organochlorine pesticides (RR 2.0,
95% CI 1.0-4.1), Lindane
(RR 2.0, 95% CI 1.1-3.5) or Heptachlor (RR 2.1, 95% CI 1.1-
3.9).
van Bemmel [72] 2008 Cohort study - (AHS) Thio-carbamate
herbicide EPTC No statistically significant increase of leukemia
risk was shown for workers exposed
EPTC (RR 1.31, 95% CI 0.75-2.28) compared to the non-
exposed.
Chrisman Jde [73] 2009 Ecological study All pesticides A
statistically significant increase of leukemia mortality was
observed in areas with increased
per capita use of pesticides (MRR 1.6, 95% CI 1.55-1.66 and
1.93, 95% CI 1.87-2.0 for the
1st quartile of pesticide use, compared to the 2nd and 3rd
quartile respectively).
Delancey [74] 2009 Cohort study - (AHS) Herbicide Metribuzin
A statistically non-significant increase of leukemia risk was
shown among the group of
pesticide applicators with the highest cumulative exposure to
Metribuzin
(RR 2.42, 95% CI 0.82-7.19, p=0.08).
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Table 2 Reviewed articles on chemical and biological hazards
and leukemia (Continued)
Orsi [75] 2009 Case-control study Organochlorine insecticides,
Phenoxy – herbicides, Triazine-
containing herbicides
A significant association was shown between the risk of hairy
cell leukemia (HCL)
and exposure to Organochlorine insecticides (OR 4.9, 95% CI
1.1-21.2), Phenoxy-herbicides
(OR 4.1, 95% CI 1.1-15.5) and Triazine-containing herbicides
(OR 5.1, 95% CI 1.4-19.3).
Rusiecki [76] 2009 Cohort study - (AHS) Exposure to
Permethrin No significant association was shown between
exposure to Permethrin and leukemia risk
among workers (RR 1.74, 95% CI 0.83 - 3.64 and 1.34, 95% CI
0.61-2.92 for workers with the
longest duration of exposure or the highest cumulative exposure
respectively).
8) Combined chemical and biological hazards in agriculture
Bassil [77] 2007 Literature review Combined exposure to
pesticides,
insecticides and work with livestock
6 cohort studies and 8 case-control studies have shown a
statistically significant
association between pesticide exposure and leukemia risk, and 2
cohort studies
have shown an association between leukemia risk and work with
livestock.
9) Biological hazards in agriculture and food industry
Moore [78] 2007 Case-control study (multicentric) Occupational
exposure
to meat products
A statistically significant association was found between CLL
risk and occupational exposure
to meat products, for workers with exposure> 16 years to cattle
and poultry meat
(OR 2.51, 95% CI 1.12 - 5.66 and 2.06, 95% CI 1.17 - 3.63
respectively).
Johnson [79] 2010 Cohort study Occupational exposure
to meat products
A statistically significant increase of lymphatic leukemia
mortality was shown among men
workers in slaughterhouses and poultry meat processing plants
(SMR 5.9, 95% CI
1.6-15.2). No similar increase was found among female
workers.
Johnson [80] 2010 Cohort study Occupational exposure
to meat products
A statistically significant increase of lymphatic leukemia
proportional mortality was
observed only among non-white women workers in
slaughterhouses and poultry
meat processing plants (PMR 6.4, 95% CI 1.3-31.1).
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ionizing radiation (medicine, research laboratories, non-
destructive testing etc.) [39,40,43].
Exposure to minimal doses of radiation during the min-
ing and processing of uranium has not been associated with
a significantly increased risk of leukemia among exposed
workers [45,46]. Moreover, despite existing weaknesses in
their methodological design and statistical power [101],
recent studies did not record any statistically significant
increase in leukemia risk among military personnel
exposed to depleted uranium products during military
operations [44,102].
Non-ionizing radiation (EMF)
Occupational exposure to electromagnetic fields (EMF)
constitutes an area of ongoing scientific debate over the re-
cent years, mainly because of the rising public health con-
cern regarding EMF. There has been high inconsistency
among the results of previous studies, but the research
group of the International Commission on Non-Ionizing
Radiation Protection (ICNIRP) concluded that existing lit-
erature on EMF exposure converges on the existence of a
small but statistically significant increase in leukemia risk
among occupationally exposed groups [47]. These findings
were further supported by more recent studies, which iden-
tified a small but statistically significant excess risk of
leukemia among workers highly exposed to extremely low
frequency electromagnetic fields (ELF EMF) [47,48].
Benzene
Among various chemical exposures in the workplace,
Benzene is a well-documented risk factor for leukemia.
As regards the potential toxicity of Benzene at cellular
level, Zhang et al have observed in vitro a significantly
higher number of genetic lesions associated with
chemotherapy-related leukemia among Benzene-exposed
workers [49], while Richardson et al have proposed a
model of two-stage clonal expansion (TSCE) of cancer
cells where Benzene acts as a promoter (rather than an
initiator) affecting the kinetics of initiated blood cells
[50]. A recent study in Great Britain estimated that
due to the widespread use of benzene-containing com-
pounds in various applications, occupational exposure to
Benzene is responsible for about 0.19% of the overall in-
cidence of non-lymphocytic leukemia in men and 0.34%
in women [51], while a similar study in Korea has shown
that Benzene constitutes at population-level a more sig-
nificant occupational risk factor for leukemia than ioniz-
ing radiation [103].
Other organic solvents
Most epidemiological studies on occupational exposure to
organic solvents other from Benzene have not investigated
exposure to each compound separately, therefore the
effect of co-exposure to benzene in the observed excess
risk of leukemia could not be ruled out [52,53]. In a single
study where exposure to organic solvents (Toluene,
Hexane, Acetone, and Methyl-ethyl-ketone) was investi-
gated independently from Benzene, no significantly in-
creased risk of leukemia has been observed among the
exposed workers [54].
Butadiene and dimethyl-dithio-carbamate
An interesting finding that warrants further research
has occurred from a series of studies conducted on
workers in the synthetic rubber industry, where a statis-
tically significant excess risk of CML and CLL following
a dose-response relationship was shown among workers
exposed to 1.3-butadiene (BD) and dimethyl-dithio-car-
bamate (DMDTC) [57,59]. Interestingly, a similar find-
ing was not observed among female workers, although
their cumulative exposure to the specific compounds
had been much smaller than men [60,61].
Formaldehyde
Although formaldehyde has been classified by the Inter-
national Agency for Research on Cancer (IARC) in Group
1 “Carcinogenic to Humans” as regards to other types of
malignancies [104,105], a potential role in the develop-
ment of leukemia remains an area of ongoing scientific
controversy, as epidemiological findings remain inconclu-
sive [62,106] and no plausible theory has been proposed to
date to explain a toxic effect on progenitors of blood cells
[107]. In 2 recent Meta-analyzes of relevant studies how-
ever, a statistically significant excess risk of leukemia has
been observed among those occupationally exposed to for-
maldehyde [108,109], while despite the criticism over its
methodological weaknesses [110] an additional study has
shown a statistically significant dose–response association
between exposure to formaldehyde and mortality from
myeloid leukemia among embalmers [63]. As regards the
elucidation of the potential role of formaldehyde in the
pathogenesis of leukemia, Zhang et al have reported
in vitro evidence of formaldehyde myelotoxicity and iden-
tification of leukemia-characteristic genetic lesions among
the myeloid lineage of formaldehyde-exposed workers
[64], although there have been major objections to their
findings by a different group of researchers [65]. Overall,
while existing data could provide some explanation for the
potential toxicity of Formaldehyde in remote target-organs
and the negative findings in experimental animals, it
seems that there is still a long way when it comes to docu-
ment a role of Formaldehyde in the pathogenesis of
leukemia [111].
Lead
The toxic effects of exposure to Lead on bone marrow
have long been recognized. However, the cohort study of
Lam et al. among lead-exposed workers (metal
Polychronakis et al. Journal of Occupational Medicine and
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construction, metal processing, battery manufacture, glass
production and electronics’ industry) has not detected any
significant increase of leukemia risk [66].
Pesticides
Pesticides are a class of chemicals long suspected for
carcinogenicity, and a number of different studies have
been conducted over the last decade to investigate the
toxic effect of specific classes of pesticides or compounds
and their potential role in the development of leukemia.
With the exception of an Italian case-control study which
has shown no significant association between leukemia
risk and exposure to the main categories of pesticides [69],
a number of studies have recorded statistically significant
excess risk of leukemia among agricultural workers
exposed to pesticides in general [73,77], or specific
categories of pesticides such as Phenoxy-herbicides,
Triazine herbicides, Arsenic-containing pesticides, Atra-
zine, Lindane, Dichloro Diphenyl Trichloroethane
(DDT), etc. [70,75]. A positive association was also
shown between leukemia and exposure to organophos-
phate pesticide Fonofos [67], while for workers exposed
to thio-carbamate herbicide EPTC [72], Organochlorine
insecticides [71], Metribuzin [74] and Permethrin [76]
no statistically significant excess leukemia risk was
found.
Infectious agents – contact with animals
The potential association of leukemia with exposure to
infectious agents is not a new theory but there seems to
be a renewed interest as regards to the epidemiological
investigation of this hypothesis during the last decade. A
number of epidemiological studies have investigated the
existing risk of leukemia among specific occupational
groups in livestock farming, food production and pro-
cessing where a higher theoretical risk of exposure to
biological agents from the animal population exists
[112-114]. The findings of those studies support the
above hypothesis, as a statistically significant increase of
leukemia risk was shown for workers in livestock farm-
ing [77,115], and a number of occupations i.e. workers
in slaughterhouses, butchers, cooks, etc. involved in the
processing of animal meat products [78-80].
Specific occupational groups at risk
Of the published epidemiological studies that investigated
potential associations of leukemia with specific occupa-
tional groups over the last 5 years, a statistically significant
increase in mortality from leukemia has been recorded
among the personnel of chemical laboratories [84] and
oil processing facilities [86], while no increased risk for
leukemia was shown for firefighters [85] and tannery
workers [88]. In 2 epidemiological studies conducted
among healthcare personnel, no increased risk for
leukemia was shown for the group of nurses [81] and neu-
rosurgeons [83] while the findings of a third study which
has shown increased mortality from CLL among nurses
may be strongly affected by overdiagnosis of the disease
due to the increased health awareness of the specific group
[82]. Furthermore, a number of ecological-design studies
have recorded a statistically significant excess risk of
leukemia among specific categories of workers which in-
clude women (other than nurses) working in the
healthcare sector [89], workers whose tasks involve expos-
ure to Polychlorinated Biphenyls (PCBs) and printing inks
[91], workers exposed to benzene or pesticides or working
near high voltage lines [92], workers in plastic production,
cleaning and construction work [93], and several categor-
ies of workers in the agricultural sector i.e. fruit and vege-
table growers, nursery workers, farmers, florists etc. [93].
Parental occupational exposure and childhood leukemia
With regards to the potential association of childhood
leukemia with parental occupational exposure, paternal
exposure to pesticides and herbicides has not been associ-
ated with increased risk [94]. The study of Pearce et al has
shown a potential association of paternal exposure to
EMF with childhood leukemia, but their findings could be
the effect of co-exposure to ionizing radiation [95]. Finally,
paternal exposure to carcinogens [97] and maternal expos-
ure to solvents [96] especially during pregnancy and after
birth have been associated with increased risk of child-
hood leukemia among their offspring.
Conclusions
The studies included in this literature review, present
the current scientific knowledge on the potential effect
of work-related hazards in the pathogenesis of leukemia.
It must be noted, a number of those studies suffer from
methodological weaknesses which in certain cases con-
stitute their findings precarious.
Given the relatively low incidence and the long natural
history of the disease, the investigation of a potential effect
of an occupational exposure on leukemia requires large-
scale cohort studies with long follow-up period to acquire
the necessary statistical strength, which usually exceeds
the resources or the size of the study cohort. Even when
the above conditions are met, the statistical strength of a
study can be significantly reduced if the study protocol for
the assessment of exposure contains flaws. The establish-
ment of the role of an occupational hazard in the develop-
ment of leukemia assumes the demonstration of both a
statistically significant impact on leukemia incidence or
mortality between the exposed and non-exposed as well as
a dose-response effect for different levels of exposure. In
cases where available data on personal exposure is insuffi-
cient, as appears to be the case for a number of the cohort
studies included in this review, an over- or under-
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Table 3 Reviewed articles on other hazards and leukemia
Researcher Year Type of study Exposure Main findings
A) Occupational exposure and risk of leukemia among different
categories of workers
1) Healthcare workers
Dimich-Ward [81] 2007 Cohort study Working as a nurse No
increased leukemia mortality (SMR 0.78, 95% CI 0.49-1.18) or
incidence was found among the
cohort of nurses (SIR for myelogenous and lymphatic leukemia
was 1.21, 95% CI 0.85- 1.68
and 1.02, 95% CI 0.63-1.56 respectively).
Abel [82] 2009 Cohort study
(Nurses’ Health Study)
Working as a nurse A statistically significant increase of CLL
incidence was found among nurses
compared to the general population (SIR 1.35, 95% CI 1.17-
1.54).
Lollis [83] 2010 Cohort study Exposure to different health
hazards of operating theaters
No statistically significant increase in mortality from leukemia
was observed
among neurosurgeons compared to the general population (SMR
1.2, 95% CI 0.75-1.9).
2) Workers in chemical laboratories
Kubale [84] 2008 Cohort study Radionuclides, benzene and
other hazards in
the laboratories of nuclear research facilities
Leukemia mortality of workers did not differ significantly from
the general population
(SMR 0.78, 95% CI 0.45-1.25). A significant positive
association was shown between
leukemia risk and duration of employment for those employed
>20 years (SRR was
9.51, 95% CI 1.67-54.17 and 11.44, 95% CI 1.88-69.54, for an
estimated 2- or 5-year
time-lag of the disease respectively).
3) Firefighters
Bates [85] 2007 Case-control study Inhalation of toxic
combustion products The risk of developing leukemia did not
differ significantly between firefighters and the
non-exposed group (OR 1.22, 95% CI 0.99-1.49).
4) Workers in petroleum processing facilities
Huebner [86] 2009 Cohort study Byproducts of petroleum
distillation
and processing
A statistically significant increase of mortality from acute (non-
lymphoblastic) leukemia
was observed among workers in the chemical department (SMR
1.81, 95% CI 1.06-2.90),
but no association with duration of employment or specific job
posts was identified.
Gazdek [87] 2007 Ecological study Emissions from oil and gas
processing plants
Statistically significant geographic variation of acute myeloid
leukemia incidence was
observed among populations of different regions, depending on
their proximity
to oil- and gas-processing plants.
5) Tannery workers
Iaia [88] 2006 Cohort study Chemicals used in leather
processing No significant increase of myeloid leukemia
mortality was found among tannery workers
exposed to chemicals used for leather processing (SMR was
2.08, 90% CI 0.82–4.37
for men and 5.99, 90% CI 1.06-18.87 for women).
6) Different occupational categories
Firth [89] 2007 Ecological study Different occupational
exposures
of women
A significant increase of leukemia proportional mortality was
found among
women employed in the healthcare sector (PMR 1.52, 95% CI
1.08- 2.09) but not
for nurses (PMR 1.42, 95% CI 0.96-2.01).
Hoffmann [90] 2008 Case-control study Ionizing radiation,
pesticides and EMF 15% of men (16% of women) participants
reported occupational exposure to pesticides,
4% (8% women) reported exposure to ionizing radiation (for > 1
year) and 64% of participants
reported having lived sometime in their life in the proximity
(<20 km) of a nuclear plant.
Richardson [91] 2008 Case-control study Different occupational
exposures A statistically significant increase of CLL risk was
shown among workers exposed to
polychlorinated biphenyls (PCBs) (OR 1.48, 95% CI 1.02-2.16)
and printing inks (OR 1.89,
95% CI 1.21-2.96).
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Table 3 Reviewed articles on other hazards and leukemia
(Continued)
Kaufman [92] 2009 Case-control study Benzene, pesticides,
ionizing
radiation and EMF
A statistically significant increase of myeloid leukemia was
shown among workers exposed
to Benzene (OR 3.9, 95% CI 1.3- 11), other non-specified
solvents (OR 2.1, 95% CI 1.1- 4.9),
pesticides (OR 3.8, 95% CI 2.1-7.1) and EMF (OR 4.3, 95% CI
1.3-15).
McLean [93] 2009 Case-control study Different occupational
exposures A statistically significant increase of leukemia risk
was found among workers employed
in fruit and vegetable cultivation (OR 2.62, 95% CI 1.51 - 4.55)
and in nurseries (OR 7.51,
95% CI 1.85-30.38), machine operators in plastic production
facilities (OR 3.76, 95% CI 1.08-13.08),
tailors and dressmakers (OR for CLL 7.01, 95% CI 1.78-27.68),
cleaners (OR for CLL 2.04, 95% CI
1.00-4.14) and construction workers (OR for CLL 4.03, 95% CI
1.30-12.53).
B) Occupational exposure and risk of leukemia among the
offspring of different categories of workers
Pearce [94] 2006 Case-control study Pesticides and herbicides
Paternal occupational exposure to pesticides and herbicides did
not appear to be associated
with a higher risk of leukemia among their offspring (OR 0.55,
95% CI 0.26-1.16 and 1.15,
95% CI 0.61 - 2.17 for children living in urban and rural areas
respectively).
Pearce [95] 2007 Case-control study EMF, ionizing radiation A
statistically significant association was shown between the risk
of childhood leukemia
and previous paternal occupational exposure to EMF (and
ionizing radiation) (OR 1.31,
95% CI 1.02-1.69), especially among the offspring of
electricians (OR 1.59, 95% CI 1.12 - 2.26).
McKinney [96] 2008 Case-control study Solvents, degreasing
and
cleaning agents
A statistically significant association was found among acute
lymphoblastic leukemia risk in children
and maternal exposure to solvents, degreasing and cleaning
agents, during the period of pregnancy
(OR 2.7, 95% CI 1.6- 4.6) and postpartum (OR 1.9, 95% CI 1.1-
3.3).
Perez-Saldivar [97] 2008 Case-control study Carcinogenic
compounds A statistically significant association was found
between childhood leukemia risk and previous paternal
exposure to carcinogens (OR 2.06, 95% CI 1.24-3.42).
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estimation of exposure in certain groups of workers may
have led to non-differential misclassification, reducing
their statistical strength below the point where a weak
(but existing) statistical association could be identified.
Case-control studies were susceptible to even more types
of error, since apart from misclassification bias as regards
the exposure (or the diagnosis, especially in studies based
on historical records) major types of systematic error could
undermine the reliability of their findings. Most case-
control studies took place long after exposure, and the pos-
sibility of recall-bias, leading to an erroneous estimation of
exposure, is high. Recall-bias could introduce a major error
in the results of the studies especially when it is unevenly
distributed among cases and controls (e.g. studies where
exposure assessment was based on indirect information
given by close relatives of colleagues of leukemia patients).
Furthermore, some of the studies may have been affected
by selection bias either as a result of a change in the com-
position of their reference population (e.g. migration of
leukemia patients for diagnostic or therapeutic purposes
outside a country may have led to over-representation of
lower socio-economic classes and specific occupational
groups among cases) or the over-representation of protect-
ive health behaviors among controls due to the followed
sampling methodology.
A major concern with regards to published literature re-
views and meta-analyses was the low comparability among
the studies they were based on, as their different methodo-
logical design, analytical methods and presentation of re-
sults, made even simple comparisons among their findings
difficult, let alone further processing of the data for the
purpose of meta-analysis. This has affected some of the
findings presented in this review, as some of the meta-
analyses, as admitted by their own authors, could have
reached completely different results if some of the large-
scale studies which have been excluded from the analysis
had met the criteria for inclusion.
Overall, during the reference period of this study there
have not been any radical changes in the existing scien-
tific knowledge as regards the role of work-related haz-
ards in the pathogenesis of leukemia.
The findings of the reviewed articles confirm or fail to
negate previous scientific observations on the effect of
known risk factors, and there is adequate consistency
among researchers as to the causal association between
ionizing radiation or benzene and leukemia. Nevertheless,
the results of different studies remain contradictory as
regards the effect of radiation on different occupational
groups, and the impact on leukemia risk at different
exposure levels. Regarding exposure to benzene as a single
compound, or as part of mixtures of solvents, the findings
are consistent as to a positive association with the risk of
leukemia among exposed workers, yet no agreement exists
on its exact role on the development of the disease.
The epidemiological findings of different studies remain
contradictory on the role of most of the remaining sug-
gested risk factors. The positive associations shown by a
number of studies as regards occupational exposure to
EMF, BD or infectious agents warrant further research in
the future, as different researchers fail to reproduce their
statistically significant results. In the case of formaldehyde
apart from the inconsistency of epidemiological findings
as regards the effect on leukemia among exposed workers,
there is also a scientific debate as to the plausibility of a
theoretical model of action explaining its role in the devel-
opment of the disease. Finally, the reviewed studies on oc-
cupational exposure to a number of plant protection
products (pesticides, herbicides, insecticides) indicate a
large heterogeneity among this group of chemical com-
pounds as regards their potential effect on the risk of
leukemia, and could provide an adequate explanation
for the low reproducibility of findings among different
researchers when characterization of exposure is not
clearly defined.
The number of collected articles (especially cohort
studies) investigating the potential association between
different occupational hazards and leukemia, published
during the previous years, indicates a growing scientific
interest in the specific field in an attempt to improve
our understanding on the causal factors of the disease.
Nevertheless, based on the reviewed studies the potential
effect of those hazards on the observed incidence and
mortality of leukemia, if existing, is expected to be so
subtle that could easily go unnoticed by small- or
medium-scale epidemiological studies. Therefore, even
negative results should be evaluated with caution, pend-
ing additional information from ongoing research.
Technology has provided new tools to researchers dur-
ing the last decades for in vitro investigation of diseases
like leukemia at cellular or molecular level. This will be
perhaps the key to unraveling the pathophysiological
mechanisms of this complex disease and acquire new
insight on the actual causes of leukemia in the future,
since epidemiology appears to have reached its limits as
regards to introducing new knowledge in this field.
It is possible that, for diseases such as leukemia, the
day when classical epidemiology will give its place to en-
vironmental genomics or proteomics to investigate com-
plex interactions between occupational or environmental
exposures and their effect at genetic or molecular level,
is not far from today.
Abbreviations
RR: Relative risk; ERR: Excess relative risk; Gy: Gray; LSS:
Life span study;
AML: Acute myeloid leukemia; CML: Chronic myelogenous
leukemia;
ALL: Acute lymphoblastic leukemia; CLL: Chronic lymphocytic
leukemia;
AL: Acute leukemia; PEL: Permissible exposure limit; ppm:
Parts per million;
TWA: Time weighted average; ICRP: International Commission
on
Radiological Protection; EMF: Electromagnetic fields; ELF
EMF: Extremely low
frequency electromagnetic fields; ICNIRP: International
Commission on
Polychronakis et al. Journal of Occupational Medicine and
Toxicology 2013, 8:14 Page 13 of 16
http://www.occup-med.com/content/8/1/14
Non-Ionizing Radiation Protection; TSCE: Two-stage clonal
expansion; BD: 1.3-
butadiene; DMDTC: Dimethyl-dithio-carbamate; IARC:
International Agency
for Research on Cancer; DDT: Dichloro Diphenyl
Trichloroethane; EPTC:
S-ethyl-N,N-dipropylthiocarbamate; PCB: Polychlorinated
Biphenyls;
SIR: Standardized Incidence Ratio; OR: Odds Ratio; mSv:
Millisievert; LAR:
Life-time Attributable Risk; AF: Attributable fraction; APL:
Acute Promyelocytic
Leukemia; USAF: United States Air Force; TCDD: Tetrachloro-
dibenzo-dioxin;
CFU-GM: Colony Forming Unit-Granulocyte/Macrophage;
AHS: Agricultural
Health Study.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
IP, GD, VM, ER, and AL have made substantial contributions to
the
conception and design of the review, acquisition of the review
data and
have been involved in drafting and revising the manuscript. All
authors have
read and approved the final manuscript.
Author details
1Department of Hygiene, Epidemiology and Medical Statistics,
University of
Athens, Medical School, 75 Mikras Asias 115 27, Goudi,
Athens, Greece.
2Occupational & Industrial Hygiene Department, National
School of Public
Health, 96 Alexandras Av. 11521, Athens, Greece.
Received: 26 October 2012 Accepted: 6 May 2013
Published: 22 May 2013
References
1. Bozzone DM: The biology of cancer: Leukemia. New York:
Infobase
Publishing; 2009.
2. Boyle P, Levin B (Eds): World Cancer Report 2008. Lyon:
International Agency
for Research on Cancer (IARC); 2008.
3. Mughal TI, Goldman JM, Mughal ST: Understanding
Leukemias, Lymphomas
and Myelomas. London: Taylor & Francis; 2006.
4. Committee to Assess Health Risks from Exposure to Low
Levels of Ionizing
Radiation, National Research Council: Health Risks from
exposure to low levels
of ionizing radiation: BEIR VII Phase 2. Washington D.C.: The
National
Academies Press; 2006.
5. Kato H, Schull WJ: Studies of the mortality of A-bomb
survivors. 7.
Mortality, 1950-1978: Part I. Cancer mortality. Radiat Res
1982, 90:395–432.
6. Little MP: Cancer and non-cancer effects in Japanese atomic
bomb
survivors. J Radiol Prot 2009, 29:A43–A59.
7. Preston DL, Pierce DA, Shimizu Y, Cullings HM, Fujita S,
Funamoto S,
Kodama K: Effect of recent changes in atomic bomb survivor
dosimetry
on cancer mortality risk estimates. Radiat Res 2004, 162:377–
389.
8. Preston DL, Kusumi S, Tomonaga M, Izumi S, Ron E,
Kuramoto A, Kamada N,
Dohy H, Matsuo T, Matsui T, et al: Cancer incidence in atomic
bomb
survivors. Part III. Leukemia, lymphoma and multiple myeloma,
1950-
1987. Radiat Res 1994, 137:S68–S97.
9. Richardson D, Sugiyama H, Nishi N, Sakata R, Shimizu Y,
Grant EJ, Soda M,
Hsu WL, Suyama A, Kodama K, Kasagi F: Ionizing radiation
and leukemia
mortality among Japanese Atomic Bomb Survivors, 1950-2000.
Radiat Res
2009, 172:368–382.
10. Noshchenko AG, Zamostyan PV, Bondar OY, Drozdova VD:
Radiation-
induced leukemia risk among those aged 0-20 at the time of the
Chernobyl accident: a case-control study in the Ukraine. Int J
Cancer
2002, 99:609–618.
11. Austin H, Delzell E, Cole P: Benzene and leukemia. A
review of the
literature and a risk assessment. Am J Epidemiol 1988,
127:419–439.
12. Pubchem Compound Database: Benzene - Compound
Summary CID 241:
http://pubchem.ncbi.nlm.nih.gov/summary/summary.cgi?cid=24
1&loc=ec_rcs.
13. Moen BE, Steinsvag K, Braveit M: What do we know about
chemical
hazards in offshore work? Tidsskr Nor Laegeforen 2004,
124:2627–2629.
14. Hayes RB, Songnian Y, Dosemeci M, Linet M: Benzene and
lymphohematopoietic malignancies in humans. Am J Ind Med
2001,
40:117–126.
15. Rinsky RA, Smith AB, Hornung R, Filloon TG, Young RJ,
Okun AH, Landrigan
PJ: Benzene and leukemia. An epidemiologic risk assessment. N
Engl J
Med 1987, 316:1044–1050.
16. Khalade A, Jaakkola MS, Pukkala E, Jaakkola JJ: Exposure
to benzene at
work and the risk of leukemia: a systematic review and meta-
analysis.
Environ Health 2010, 9:31.
17. Lamm SH, Engel A, Joshi KP, Byrd DM 3rd, Chen R:
Chronic myelogenous
leukemia and benzene exposure: a systematic review and meta-
analysis
of the case-control literature. Chem Biol Interact 2009, 182:93–
97.
18. Rowley JD, Golomb HM, Vardiman J: Acute leukemia after
treatment of
lymphoma. N Engl J Med 1977, 297:1013.
19. Sekeres MA, Kalaycio ME, Bolwell BJ (Eds): Clinical
Malignant Hematology.
New York: McGraw-Hill; 2007.
20. Connor TH, McDiarmid MA: Preventing occupational
exposures to
antineoplastic drugs in health care settings. CA Cancer J Clin
2006,
56:354–365.
21. Mason HJ, Morton J, Garfitt SJ, Iqbal S, Jones K: Cytotoxic
drug
contamination on the outside of vials delivered to a hospital
pharmacy.
Ann Occup Hyg 2003, 47:681–685.
22. Preventing Occupational Exposures to Antineoplastic and
Other Hazardous
Drugs in Health Care Settings. Cincinnati: Department of
Health and Human
Services, Centers for Disease Control and Prevention, National
Institute for
Occupational Safety and Health; 2004.
23. Skov T, Maarup B, Olsen J, Rorth M, Winthereik H, Lynge
E: Leukaemia and
reproductive outcome among nurses handling antineoplastic
drugs. Br J
Ind Med 1992, 49:855–861.
24. Skov T, Lynge E, Maarup B, Olsen J, Rorth M, Winthereik
H: Risks for
physicians handling antineoplastic drugs. Lancet 1990,
336:1446.
25. Ratner PA, Spinelli JJ, Beking K, Lorenzi M, Chow Y,
Teschke K, Le ND,
Gallagher RP, Dimich-Ward H: Cancer incidence and adverse
pregnancy
outcome in registered nurses potentially exposed to
antineoplastic
drugs. BMC Nurs 2010, 9:15.
26. McDiarmid MA, Oliver MS, Roth TS, Rogers B, Escalante
C: Chromosome 5
and 7 abnormalities in oncology personnel handling anticancer
drugs.
J Occup Environ Med 2010, 52:1028–1034.
27. Rahu M, Rahu K, Auvinen A, Tekkel M, Stengrevics A,
Hakulinen T, Boice JD
Jr, Inskip PD: Cancer risk among Chernobyl cleanup workers in
Estonia
and Latvia, 1986-1998. Int J Cancer 2006, 119:162–168.
28. Abramenko I, Bilous N, Chumak A, Davidova E, Kryachok
I, Martina Z,
Nechaev S, Dyagil I, Bazyka D, Bebeshko V: Chronic
lymphocytic
leukemia patients exposed to ionizing radiation due to the
Chernobyl NPP accident–with focus on immunoglobulin heavy
chain gene analysis.
Leuk Res 2008, 32:535–545.
29. Romanenko A, Bebeshko V, Hatch M, Bazyka D, Finch S,
Dyagil I, Reiss R,
Chumak V, Bouville A, Gudzenko N, et al: The Ukrainian-
American study of
leukemia and related disorders among Chornobyl cleanup
workers from
Ukraine: I. Study methods. Radiat Res 2008, 170:691–697.
30. Romanenko AY, Finch SC, Hatch M, Lubin JH, Bebeshko
VG, Bazyka DA,
Gudzenko N, Dyagil IS, Reiss RF, Bouville A, et al: The
Ukrainian-American
study of leukemia and related disorders among Chornobyl
cleanup
workers from Ukraine: III. Radiation risks. Radiat Res 2008,
170:711–720.
31. Kesminiene A, Evrard AS, Ivanov VK, Malakhova IV,
Kurtinaitis J, Stengrevics
A, Tekkel M, Anspaugh LR, Bouville A, Chekin S, et al: Risk
of
hematological malignancies among Chernobyl liquidators.
Radiat Res
2008, 170:721–735.
32. Boice JD, Cohen SS, Mumma MT, Dupree Ellis E,
Eckerman KF, Leggett RW,
Boecker BB, Brill AB, Henderson BE: Mortality among
radiation workers at
Rocketdyne (Atomics International), 1948-1999. Radiat Res
2006,
166:98–115.
33. Richardson DB, Wing S, Wolf S: Mortality among workers
at the Savannah
River Site. Am J Ind Med 2007, 50:881–891.
34. Richardson DB, Wing S: Leukemia mortality among workers
at the
Savannah River Site. Am J Epidemiol 2007, 166:1015–1022.
35. Schubauer-Berigan MK, Daniels RD, Fleming DA, Markey
AM, Couch JR,
Ahrenholz SH, Burphy JS, Anderson JL, Tseng CY: Risk of
chronic myeloid
and acute leukemia mortality after exposure to ionizing
radiation among
workers at four U.S. nuclear weapons facilities and a nuclear
naval
shipyard. Radiat Res 2007, 167:222–232.
36. Schubauer-Berigan MK, Daniels RD, Fleming DA, Markey
AM, Couch JR,
Ahrenholz SH, Burphy JS, Anderson JL, Tseng CY: Chronic
lymphocytic
leukaemia and radiation: findings among workers at five US
nuclear
facilities and a review of the recent literature. Br J Haematol
2007,
139:799–808.
Polychronakis et al. Journal of Occupational Medicine and
Toxicology 2013, 8:14 Page 14 of 16
http://www.occup-med.com/content/8/1/14
http://ntp.niehs.nih.gov/ntp/roc/twelfth/2009/november/formald
ehyde_bd_final.pdf
37. Matanoski GM, Tonascia JA, Correa-Villasenor A, Yates
KC, Fink N, Elliott E,
Sanders B, Lantry D: Cancer risks and low-level radiation in
U.S. shipyard
workers. J Radiat Res (Tokyo) 2008, 49:83–91.
38. Ashmore JP, Gentner NE, Osborne RV: Incomplete data on
the
Canadian cohort may have affected the results of the study by
the
International Agency for Research on Cancer on the radiogenic
cancer risk among nuclear industry workers in 15 countries. J
Radiol Prot 2010, 30:121–129.
39. Lie JA, Kjaerheim K, Tynes T: Ionizing radiation exposure
and cancer risk
among Norwegian nurses. Eur J Cancer Prev 2008, 17:369–375.
40. Samerdokiene V, Atkocius V, Valuckas KP: The risk of
cancer among
Lithuanian medical radiation workers in 1978-2004. Medicina
(Kaunas)
2009, 45:412–418.
41. Ramos M, Montoro A, Almonacid M, Ferrer S, Barquinero
JF, Tortosa R,
Verdu G, Rodriguez P, Barrios L, Villaescusa JI: Radiation
effects in
interventional radiology using biological and physical
dosimetry
methods: a case-control study. Conf Proc IEEE Eng Med Biol
Soc 2008,
2008:2809–2812.
42. Ramos M, Montoro A, Almonacid M, Ferrer S, Barquinero
JF, Tortosa R,
Verdu G, Rodriguez P, Barrios LL, Villaescusa JI: Radiation
effects analysis in
a group of interventional radiologists using biological and
physical
dosimetry methods. Eur J Radiol 2009, 75:259–264.
43. Ahn YS, Park RM, Koh DH: Cancer admission and mortality
in workers
exposed to ionizing radiation in Korea. J Occup Environ Med
2008,
50:791–803.
44. Storm HH, Jorgensen HO, Kejs AM, Engholm G: Depleted
uranium and
cancer in Danish Balkan veterans deployed 1992-2001. Eur J
Cancer 2006,
42:2355–2358.
45. Mohner M, Lindtner M, Otten H, Gille HG: Leukemia and
exposure to
ionizing radiation among German uranium miners. Am J Ind
Med 2006,
49:238–248.
46. Mohner M, Gellissen J, Marsh JW, Gregoratto D:
Occupational and
diagnostic exposure to ionizing radiation and leukemia risk
among
German uranium miners. Health Phys 2010, 99:314–321.
47. Roosli M, Lortscher M, Egger M, Pfluger D, Schreier N,
Lortscher E, Locher P,
Spoerri A, Minder C: Leukaemia, brain tumours and exposure to
extremely low frequency magnetic fields: cohort study of Swiss
railway
employees. Occup Environ Med 2007, 64:553–559.
48. Kheifets L, Monroe J, Vergara X, Mezei G, Afifi AA:
Occupational
electromagnetic fields and leukemia and brain cancer: an update
to two
meta-analyses. J Occup Environ Med 2008, 50:677–688.
49. Zhang L, Rothman N, Li G, Guo W, Yang W, Hubbard AE,
Hayes RB, Yin S, Lu
W, Smith MT: Aberrations in chromosomes associated with
lymphoma
and therapy-related leukemia in benzene-exposed workers.
Environ Mol
Mutagen 2007, 48:467–474.
50. Richardson DB: Multistage modeling of leukemia in
benzene workers: a
simple approach to fitting the 2-stage clonal expansion model.
Am J
Epidemiol 2009, 169:78–85.
51. Rushton L, Brown TP, Cherrie J, Fortunato L, Van Tongeren
M, Hutchings SJ:
How much does benzene contribute to the overall burden of
cancer
due to occupation? Chem Biol Interact 2009, 184:290–292.
52. Costantini AS, Benvenuti A, Vineis P, Kriebel D, Tumino R,
Ramazzotti V,
Rodella S, Stagnaro E, Crosignani P, Amadori D, et al: Risk of
leukemia and
multiple myeloma associated with exposure to benzene and
other
organic solvents: evidence from the Italian Multicenter Case-
control
study. Am J Ind Med 2008, 51:803–811.
53. Cocco P, t'Mannetje A, Fadda D, Melis M, Becker N, de
Sanjose S, Foretova
L, Mareckova J, Staines A, Kleefeld S, et al: Occupational
exposure to
solvents and risk of lymphoma subtypes: results from the
Epilymph
case-control study. Occup Environ Med 2010, 67:341–347.
54. Lehman EJ, Hein MJ: Mortality of workers employed in
shoe
manufacturing: an update. Am J Ind Med 2006, 49:535–546.
55. Atallah E, Schiffer CA: Agent Orange, prostate cancer
irradiation and
acute promyelocytic leukemia (APL): is there a link? Leuk Res
2007,
31:720–721.
56. Collins JJ, Bodner K, Aylward LL, Wilken M, Bodnar CM:
Mortality rates
among trichlorophenol workers with exposure to 2,3,7,8-
tetrachlorodibenzo-p-dioxin. Am J Epidemiol 2009, 170:501–
506.
57. Delzell E, Sathiakumar N, Graff J, Macaluso M, Maldonado
G, Matthews R: An
updated study of mortality among North American synthetic
rubber
industry workers. Res Rep Health Eff Inst 2006(132):1–63.
discussion 65-74.
58. Beall C, Corn M, Cheng H, Matthews R, Delzell E:
Mortality and cancer
incidence among tire manufacturing workers hired in or after
1962.
J Occup Environ Med 2007, 49:680–690.
59. Cheng H, Sathiakumar N, Graff J, Matthews R, Delzell E:
1,3-Butadiene and
leukemia among synthetic rubber industry workers: exposure-
response
relationships. Chem Biol Interact 2007, 166:15–24.
60. Sathiakumar N, Delzell E: A follow-up study of women in
the synthetic
rubber industry: study methods. Chem Biol Interact 2007,
166:25–28.
61. Sathiakumar N, Delzell E: A follow-up study of mortality
among women in
the North American synthetic rubber industry. J Occup Environ
Med 2009,
51:1314–1325.
62. Beane Freeman LE, Blair A, Lubin JH, Stewart PA, Hayes
RB, Hoover RN,
Hauptmann M: Mortality from lymphohematopoietic
malignancies
among workers in formaldehyde industries: the National Cancer
Institute
Cohort. J Natl Cancer Inst 2009, 101:751–761.
63. Hauptmann M, Stewart PA, Lubin JH, Beane Freeman LE,
Hornung RW,
Herrick RF, Hoover RN, Fraumeni JF Jr, Blair A, Hayes RB:
Mortality from
lymphohematopoietic malignancies and brain cancer among
embalmers
exposed to formaldehyde. J Natl Cancer Inst 2009, 101:1696–
1708.
64. Zhang L, Tang X, Rothman N, Vermeulen R, Ji Z, Shen M,
Qiu C, Guo W, Liu
S, Reiss B, et al: Occupational exposure to formaldehyde,
hematotoxicity,
and leukemia-specific chromosome changes in cultured myeloid
progenitor cells. Cancer Epidemiol Biomarkers Prev 2010,
19:80–88.
65. Speit G, Gelbke HP, Pallapies D, Morfeld P: Occupational
exposure to
formaldehyde, hematotoxicity and leukemia-specific
chromosome
changes in cultured myeloid progenitor cells. Cancer Epidemiol
Biomarkers
Prev 2010, 19:1882–1884. author reply 1884-1885.
66. Lam TV, Agovino P, Niu X, Roche L: Linkage study of
cancer risk among
lead-exposed workers in New Jersey. Sci Total Environ 2007,
372:455–462.
67. Mahajan R, Blair A, Lynch CF, Schroeder P, Hoppin JA,
Sandler DP, Alavanja
MC: Fonofos exposure and cancer incidence in the agricultural
health
study. Environ Health Perspect 2006, 114:1838–1842.
68. Mahajan R, Bonner MR, Hoppin JA, Alavanja MC: Phorate
exposure and
incidence of cancer in the agricultural health study. Environ
Health
Perspect 2006, 114:1205–1209.
69. Miligi L, Costantini AS, Veraldi A, Benvenuti A, Vineis P:
Cancer and
pesticides: an overview and some results of the Italian
multicenter
case-control study on hematolymphopoietic malignancies. Ann
N Y Acad
Sci 2006, 1076:366–377.
70. Hansen ES, Lander F, Lauritsen JM: Time trends in cancer
risk and
pesticide exposure, a long-term follow-up of Danish gardeners.
Scand J
Work Environ Health 2007, 33:465–469.
71. Purdue MP, Hoppin JA, Blair A, Dosemeci M, Alavanja
MC: Occupational
exposure to organochlorine insecticides and cancer incidence in
the
Agricultural Health Study. Int J Cancer 2007, 120:642–649.
72. van Bemmel DM, Visvanathan K, Beane Freeman LE, Coble
J, Hoppin
JA, Alavanja MC: S-ethyl-N,N-dipropylthiocarbamate exposure
and
cancer incidence among male pesticide applicators in the
agricultural health study: a prospective cohort. Environ Health
Perspect 2008, 116:1541–1546.
73. Chrisman Jde R, Koifman S, de Novaes Sarcinelli P,
Moreira JC, Koifman RJ,
Meyer A: Pesticide sales and adult male cancer mortality in
Brazil. Int J
Hyg Environ Health 2009, 212:310–321.
74. Delancey JO, Alavanja MC, Coble J, Blair A, Hoppin JA,
Austin HD, Beane
Freeman LE: Occupational exposure to metribuzin and the
incidence of
cancer in the Agricultural Health Study. Ann Epidemiol 2009,
19:388–395.
75. Orsi L, Delabre L, Monnereau A, Delval P, Berthou C,
Fenaux P, Marit G,
Soubeyran P, Huguet F, Milpied N, et al: Occupational exposure
to
pesticides and lymphoid neoplasms among men: results of a
French
case-control study. Occup Environ Med 2009, 66:291–298.
76. Rusiecki JA, Patel R, Koutros S, Beane-Freeman L,
Landgren O, Bonner MR,
Coble J, Lubin J, Blair A, Hoppin JA, Alavanja MC: Cancer
incidence among
pesticide applicators exposed to permethrin in the Agricultural
Health
Study. Environ Health Perspect 2009, 117:581–586.
77. Bassil KL, Vakil C, Sanborn M, Cole DC, Kaur JS, Kerr KJ:
Cancer health
effects of pesticides: systematic review. Can Fam Physician
2007,
53:1704–1711.
78. Moore T, Brennan P, Becker N, de Sanjose S, Maynadie M,
Foretova L, Cocco
P, Staines A, Nieters A, Font R, et al: Occupational exposure to
meat and
risk of lymphoma: a multicenter case-control study from
Europe. Int J
Cancer 2007, 121:2761–2766.
Polychronakis et al. Journal of Occupational Medicine and
Toxicology 2013, 8:14 Page 15 of 16
http://www.occup-med.com/content/8/1/14
79. Johnson ES, Ndetan H, Lo KM: Cancer mortality in poultry
slaughtering/
processing plant workers belonging to a union pension fund.
Environ Res
2010, 110:588–594.
80. Johnson ES, Zhou Y, Lillian Yau C, Prabhakar D, Ndetan H,
Singh K, Preacely
N: Mortality from malignant diseases-update of the Baltimore
union
poultry cohort. Cancer Causes Control 2010, 21:215–221.
81. Dimich-Ward H, Lorenzi M, Teschke K, Spinelli JJ, Ratner
PA, Le ND, Chow Y,
Shu D, Gallagher RP: Mortality and cancer incidence in a
cohort of
registered nurses from British Columbia, Canada. Am J Ind Med
2007,
50:892–900.
82. Abel GA, Bertrand KA, Earle CC, Laden F: Outcomes for
lymphoid
malignancies in the Nurses' Health Study (NHS) as compared to
the
Surveillance, Epidemiology and End Results (SEER) Program.
Hematol Oncol 2009, 28:133–136.
83. Lollis SS, Valdes PA, Li Z, Ball PA, Roberts DW: Cause-
specific mortality
among neurosurgeons. J Neurosurg 2010, 113:474–478.
84. Kubale T, Hiratzka S, Henn S, Markey A, Daniels R,
Utterback D, Waters K,
Silver S, Robinson C, Macievic G, Lodwick J: A cohort
mortality study of
chemical laboratory workers at Department of Energy Nuclear
Plants.
Am J Ind Med 2008, 51:656–667.
85. Bates MN: Registry-based case-control study of cancer in
California
firefighters. Am J Ind Med 2007, 50:339–344.
86. Huebner WW, Wojcik NC, Jorgensen G, Marcella SP,
Nicolich MJ: Mortality
patterns and trends among 127,266 U.S.-based men in a
petroleum
company: update 1979-2000. J Occup Environ Med 2009,
51:1333–1348.
87. Gazdek D, Strnad M, Mustajbegovic J, Nemet-Lojan Z:
Lymphohematopoietic malignancies and oil exploitation in
Koprivnica-
Krizevci County, Croatia. Int J Occup Environ Health 2007,
13:258–267.
88. Iaia TE, Bartoli D, Calzoni P, Comba P, De Santis M, Dini
F, Farina GA, Valiani
M, Pirastu R: A cohort mortality study of leather tanners in
Tuscany, Italy.
Am J Ind Med 2006, 49:452–459.
89. Firth H, Gray A, Carpenter LM, Cox B: Cancer mortality by
occupation
among New Zealand women: 1988-1997. N Z Med J 2007,
120:U2833.
90. Hoffmann W, Terschueren C, Heimpel H, Feller A, Butte W,
Hostrup O,
Richardson D, Greiser E: Population-based research on
occupational and
environmental factors for leukemia and non-Hodgkin's
lymphoma: the
Northern Germany Leukemia and Lymphoma Study (NLL). Am
J Ind Med
2008, 51:246–257.
91. Richardson DB, Terschuren C, Hoffmann W: Occupational
risk factors for
non-Hodgkin's lymphoma: a population-based case-control
study in
Northern Germany. Am J Ind Med 2008, 51:258–268.
92. Kaufman DW, Anderson TE, Issaragrisil S: Risk factors for
leukemia in
Thailand. Ann Hematol 2009, 88:1079–1088.
93. McLean D, Mannetje A, Dryson E, Walls C, McKenzie F,
Maule M, Cheng S,
Cunningham C, Kromhout H, Boffetta P, et al: Leukaemia and
occupation:
a New Zealand Cancer Registry-based case-control Study. Int J
Epidemiol
2009, 38:594–606.
94. Pearce MS, Hammal DM, Dorak MT, McNally RJ, Parker L:
Paternal
occupational exposure to pesticides or herbicides as risk factors
for
cancer in children and young adults: a case-control study from
the
North of England. Arch Environ Occup Health 2006, 61:138–
144.
95. Pearce MS, Hammal DM, Dorak MT, McNally RJ, Parker L:
Paternal
occupational exposure to electro-magnetic fields as a risk factor
for
cancer in children and young adults: a case-control study from
the
North of England. Pediatr Blood Cancer 2007, 49:280–286.
96. McKinney PA, Raji OY, van Tongeren M, Feltbower RG:
The UK Childhood
Cancer Study: maternal occupational exposures and childhood
leukaemia and lymphoma. Radiat Prot Dosimetry 2008,
132:232–240.
97. Perez-Saldivar ML, Ortega-Alvarez MC, Fajardo-Gutierrez
A, Bernaldez-Rios R,
Del Campo-Martinez Mde L, Medina-Sanson A, Palomo-Colli
MA, Paredes-
Aguilera R, Martinez-Avalos A, Borja-Aburto VH, et al:
Father's occupational
exposure to carcinogenic agents and childhood acute leukemia:
a new
method to assess exposure (a case-control study). BMC Cancer
2008, 8:7.
98. Telle-Lamberton M, Samson E, Caer S, Bergot D, Bard D,
Bermann F, Gelas
JM, Giraud JM, Hubert P, Metz-Flamant C, et al: External
radiation exposure
and mortality in a cohort of French nuclear workers. Occup
Environ Med
2007, 64:694–700.
99. Gilbert ES: Invited commentary: studies of workers exposed
to low doses
of radiation. Am J Epidemiol 2001, 153:319–322. discussion
323-314.
100. Howe GR: Leukemia following the Chernobyl accident.
Health Phys 2007,
93:512–515.
101. Lagorio S, Grande E, Martina L: Review of
epidemiological studies of
cancer risk among Gulf War and Balkans veterans. Epidemiol
Prev 2008,
32:145–155.
102. Macfarlane GJ, Biggs AM, Maconochie N, Hotopf M,
Doyle P, Lunt M:
Incidence of cancer among UK Gulf war veterans: cohort study.
BMJ 2003, 327:1373.
103. Kim EA, Lee WJ, Son M, Kang SK: Occupational
lymphohematopoietic
cancer in Korea. J Korean Med Sci 2010, 25:S99–S104.
104. Final Report on Carcinogens Background Document for
Formaldehyde.
Rep Carcinog Backgr Doc 2010:i–512.
http://ntp.niehs.nih.gov/ntp/roc/
twelfth/2009/november/formaldehyde_bd_final.pdf.
105. Kupczewska-Dobecka M: Assessment of carcinogenicity of
formaldehyde
based on the newest literature data. Med Pr 2007, 58:527–539.
106. Collins JJ, Lineker GA: A review and meta-analysis of
formaldehyde
exposure and leukemia. Regul Toxicol Pharmacol 2004, 40:81–
91.
107. Golden R, Pyatt D, Shields PG: Formaldehyde as a
potential human
leukemogen: an assessment of biological plausibility. Crit Rev
Toxicol
2006, 36:135–153.
108. Zhang L, Steinmaus C, Eastmond DA, Xin XK, Smith MT:
Formaldehyde
exposure and leukemia: a new meta-analysis and potential
mechanisms.
Mutat Res 2009, 681:150–168.
109. Schwilk E, Zhang L, Smith MT, Smith AH, Steinmaus C:
Formaldehyde and
leukemia: an updated meta-analysis and evaluation of bias. J
Occup
Environ Med 2010, 52:878–886.
110. Cole P, Adami HO, Trichopoulos D, Mandel JS: Re:
Mortality from
lymphohematopoietic malignancies and brain cancer among
embalmers
exposed to formaldehyde. J Natl Cancer Inst 2010, 102:1518–
1519. author
reply 1519-1520.
111. Goldstein BD: Hematological and toxicological evaluation
of
formaldehyde as a potential cause of human leukemia. Hum Exp
Toxicol
2011, 30:725–735.
112. Svec MA, Ward MH, Dosemeci M, Checkoway H, De Roos
AJ: Risk of
lymphatic or haematopoietic cancer mortality with occupational
exposure to animals or the public. Occup Environ Med 2005,
62:726–735.
113. Fritschi L, Johnson KC, Kliewer EV, Fry R: Animal-
related occupations and
the risk of leukemia, myeloma, and non-Hodgkin's lymphoma in
Canada.
Cancer Causes Control 2002, 13:563–571.
114. McLean D, Pearce N: Cancer among meat industry
workers. Scand J Work
Environ Health 2004, 30:425–437.
115. Wong O, Harris F, Armstrong TW, Hua F: A hospital-
based case-control
study of acute myeloid leukemia in Shanghai: analysis of
environmental
and occupational risk factors by subtypes of the WHO
classification.
Chem Biol Interact 2010, 184:112–128.
doi:10.1186/1745-6673-8-14
Cite this article as: Polychronakis et al.: Work-related leukemia:
a
systematic review. Journal of Occupational Medicine and
Toxicology 2013
8:14.
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AbstractReviewIntroductionMaterials and methodsMain
findingsIonizing radiationNon-ionizing radiation
(EMF)BenzeneOther organic solventsButadiene and dimethyl-
dithio-carbamateFormaldehydeLeadPesticidesInfectious agents
– contact with animalsSpecific occupational groups at
riskParental occupational exposure and childhood
leukemiaConclusionsAbbreviationsCompeting interestsAuthors’
contributionsAuthor detailsReferences
BE2
You manufacture WIDGETs. Your old machine broke.
You can buy Machine #1 for $ 5000. Using machine #1, each
widget will cost $ 10 to make.
You can buy Machine #2 for $ 2000. Using machine #2, each
widget will cost $ 15 to make.
I would like to determine the breakeven point for A and B using
TWO different methods.
On sheet1, we will use GOAL-SEEK. On sheet2, we will use
graphs.
Here is an outline for sheet1:
A
B
# of units
Cost to make B2 units using machine #1
Cost to make B2 units using machine #2
Breakeven Point
Hint: BEP is where both costs are equal. In general, when P=Q,
then P-Q = 0.
On sheet2, create the following grid
A
B
C
D
# units
Machine #1 cost
Machine #2 cost
Which is cheaper
300
400
500
600
700
800
Compute the cost to produce 300 units using machine #1, and
then by machine #2, and using an =IF statement, tell me which
machine is cheaper.
Do the same for 400, 500, 600, 700, 800 units.
As you can see, #2 is cheaper for smaller quantities and #1 is
cheaper for larger quantities.
Please create a line graph showing the two costs intersecting.
Please have quantity as the x axis and dollars as the y axis.
Article
Benzene-contaminated toluene and
acute myeloid leukemia: a case series
and review of literature
Trevor Peckham1, Melvyn Kopstein2, Jason Klein1
and James Dahlgren
1
Abstract
We report seven cases of acute myeloid leukemia (AML) with
occupational exposure to a toluene-based
hydrocarbon solvent. The cases were employed at a facility,
which manufactured rubber belts and hoses,
between 1950 and 2005 for periods ranging from 21 to 37 total
years. Detailed histories were obtained for
three workers who were diagnosed with AML within a 3-year
period (2003–2005). Death certificates, medical
records, and accounts by workers were reviewed. Benzene, a
known cause of AML, is typically a contaminant
of toluene. Benzene contamination in toluene and other widely
used solvents and the potential for concurrent
benzene exposure during usage of these solvents in occupational
settings are discussed.
Keywords
Benzene, acute myeloid leukemia (AML), toluene, occupational
exposure, hydrocarbon solvent
Introduction
Benzene, a well known cause of myelodysplastic
syndrome (MDS) and acute myeloid leukemia (AML)
(Baan et al., 2009; IARC, 1987; Smith, 2010), is pres-
ent as a contaminant in many common petrochem-
icals, including toluene, mineral spirits, and naphtha
(Kopstein, 2011). Recent studies indicate that use of
hydrocarbon solvents with benzene content of
<0.1% can create breathing zone benzene air concen-
trations that surpass occupational limits (Fedoruk
et al., 2003; Kopstein, 2006) (Table 1). Similarly,
occupational exposure via dermal absorption to mix-
tures containing <0.1% benzene may significantly
increase cancer risk (Brenner et al., 1998; Kalnas and
Teitelbaum, 2000; Petty et al., 2011).
We present seven cases of AML in workers with
occupational exposure to a toluene-based hydrocar-
bon solvent in a factory that manufactured rubber
belts and hoses. Case-specific information on a subset
of former employees was retrieved from death certif-
icates, medical records, and accounts from workers.
The AML cases were employed at the rubber plant
between 1950 and 2005 for periods ranging from 21
to 37 total years. Detailed occupational and medical
histories were obtained for three of the cases who
developed the disease between 2003 and 2005. The
toluene-based solvent was used for cleaning and
removing misprints on manufactured rubber items
and for cleaning ink from printing presses and is the
only solvent identified by former workers. No infor-
mation regarding other solvents being used at the
facility or data regarding the benzene content of the
toluene solvent were available for this assessment.
Employees specify that personal protective equip-
ment (i.e. respirators, impervious clothing, or gloves)
were rarely, if ever, utilized when working with the
toluene solvent. The solvent was applied to a rag or
brush and used without gloves, creating both inhala-
tion and dermal exposures. There was no local
exhaust ventilation or other engineering controls pres-
ent in the workspace.
1James Dahlgren Medical, Santa Monica, CA, USA
2Potomac, MD, USA
Corresponding author:
James Dahlgren, James Dahlgren Medical, 1158 26th Street,
118,
Santa Monica, CA 90403, USA.
Email: [email protected]
Toxicology and Industrial Health
2014, Vol. 30(1) 73–81
© The Author(s) 2012
Reprints and permissions:
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DOI: 10.1177/0748233712451764
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Case presentation
Case 1, a white male, worked at the facility from 1968
until 1994. In early 2003, he was diagnosed with pan-
cytopenia. In December 2003 at the age of 72 years, a
bone marrow biopsy showed AML with multilineage
dysplasia. He had preexisting MDS. Cytogenetic
analysis at this time revealed the presence of an
abnormal hypodiploid clone characterized by loss of
chromosomes X, 3, 5, 6, and 18, additional material
of unknown origin on 4q, 10p, 12q, 13p, and 21p,
an inverted duplication of 7p, a derivative chromo-
some resulting from deletions of both the long and
short arms of chromosome 16, and a marker chromo-
some. In February 2004, a second cytogenetic analy-
sis revealed the clonal expansion of an abnormal
hypodiploid cell. The abnormal clone was the loss
of chromosome 5, additional material of unknown ori-
gin on the short arm of chromosome 6, and the long
arm of X chromosome. Nine cells were normal male.
These findings are consistent with a clinical diagnosis
of MDS or AML. He completed six cycles chemother-
apy with idarubicin and ara-C. In July 2004, he
relapsed and died from leukemia and congestive heart
failure. He smoked cigarettes until 1988, but total
pack-years could not be determined. His work history
was provided by a coworker with a similar job. Case 1
transferred the toluene solvent into one-half gallon
containers with spring-loaded tops and provided fresh
solvent to six work stations as often as once per shift.
He spent about 50% of his day sorting and cleaning
the belts, which involved using the toluene solvent
on a rag to wipe incorrectly printed or dirty belts.
He used no personal protective equipment.
Case 2, a white female, worked at the facility from
1965 until 1995. She presented with thrombocytope-
nia, anemia, and leukocytosis and was diagnosed with
AML in November 2005 at the age of 58 years. Mole-
cular cytogenetic studies were negative for abnormal
fusion of clones of the PML gene on 15q to the RARA
gene on 17q. Specifically, there was no evidence of
the t(15;17)(q22;q11.2) translocation in this speci-
men. Additional studies were also negative for the
rearrangement of the mixed lineage leukemia region
at 11 q23. The bone marrow and peripheral blood
showed >20% blasts. The percentage of myeloid lines
that had >50% dysplasia was not specified, and clas-
sification using World Health Organization criteria
was not possible. Case 2 was classified as AML-M4
under the French–American–British (FAB) Coopera-
tive Group criteria due to having dysplastic mono-
cytes. Chemotherapy with idarubicin and ara-C and
eventually cytarabine was given inducing a remission.
She relapsed May 2006 and died. She was a nonsmo-
ker. She described her work activities at the plant
shortly before her death. Similar to Case 1, she also
worked in the prepack department. Her main task was
printing and packing the rubber belts. She obtained
containers of the toluene solvent from Case 1, who
was the service man assigned to her workstation. She
would dip brushes or rags into the solvent containers
to clean the belts. When the belt printer malfunc-
tioned, it had to be cleaned using large amounts of the
solvent, a high exposure task. She rarely wore gloves,
and the solvent made her fingertips raw, causing open
sores on her hands.
Case 3, a white male, worked at the facility
between 1984 and 2005. He was noted to have leuko-
cytosis and malaise in May 2003. He continued work-
ing with a diagnosis of myeloproliferative disorder
(MPD), subtype not otherwise specified. Some of his
hematologists opined that he had MDS based on white
blood cell count, which was >12,000, and <5% of
monocytosis and blasts in the bone marrow. His treat-
ment included hydroxyurea. His MPD/MDS trans-
formed to AML with multilineage dysplasia in June
2005, at the age of 53 years. The only cytogenetic
Table 1. Occupational exposure limits for benzene concentration
in air.
Agency Description Level (ppm) Reference
OSHA Permissible exposure limit 8-hour TWA 1.0 OSHA, 1987
STEL 5.0
ACGIH Threshold limit value TWA 0.5 ACGIH, 2006
STEL 2.5
NIOSH Recommended exposure limit (10-hour TWA) 0.1
NIOSH, 1986, 2005
STEL 1.0
OSHA: Occupational Safety and Health Administration;
ACGIH: American Conference of Governmental Industrial
Hygienists; NIOSH:
National Institute for Occupational Safety and Health; TWA:
time weighted average; STEL: short time exposure limit; ppm:
parts per
million.
74 Toxicology and Industrial Health 30(1)
studies performed on this patient showed a normal
male karyotype. Fluorescence in situ hybridization
cytogenetic studies, as well as a PCR study, were neg-
ative for 9;22 translocation. No abnormal clones were
detected at this band level. The patient started induc-
tion chemotherapy with idarubicin and received a
bone marrow transplant in December 2005. He died
in July 2006 from his leukemia while in hospice care.
This man had a 5-pack/year smoking history, which
ended before 1985. Case 3 worked many years in
departments that built the rubber belts. Coworkers
reported that this process involved using the toluene
solvent in a similar manner as Cases 1 and 2, that
is, cleaning misprinted or dirty belts. A fellow
employee described the use of this solvent two or
three times a day from small squirt bottle. Case 3 was
responsible for filling his bottle from a container by
pumping by hand.
Four other employees from this facility with prob-
able exposure to the toluene-based solvent presented
with AML diagnosis. Death certificates of these addi-
tional cases were reviewed, but other information is
limited (Table 2). These cases were revealed during
the course of discovery for civil litigation involving
the three index cases. Two of the four have confirmed
history of building or packaging belts, similar to index
cases. These additional cases are presented due to the
similar time frame of employment. No follow-up has
been performed to our knowledge, and there may be
other former employees with parallel diagnosis and
exposure histories. All but one AML case were
employed at the facility beginning in the 1950s or
1960s. Evidence was also obtained for 14 additional
workers from this plant with other lymphohemato-
poietic cancers. Medical records, death certificates,
and other information were collected from family and
coworkers for the group of all 14 workers, which
included reports of diagnoses of chronic lymphocytic
leukemia (4 workers), non-Hodgkin’s lymphoma
(8 workers), and multiple myeloma (2 workers). Only
cases of AML confirmed by death records are
reported herein.
Discussion
Data collected on a subset of past employees from this
rubber belt plant indicate seven AML deaths between
1994 and 2006. Lancaster County, Nebraska eco-
nomic census data indicate that the plastics and rubber
manufacturing industries (North American Industry
Classification System code 326) employed between
1000 and 2499 workers in 2002 (US Census Bureau,
2002). This range also includes 500 and 999 employ-
ees from plastics manufacturing facilities, while the
presented cases worked at the only facility in the
county classified as rubber products manufacturing.
At least seven deaths in a 12-year span at a facility
of less than 2000 workers likely represent an elevation
in AML mortality. The county population in 2000 was
250,291 (US Census Bureau, 2000). The US national
age-adjusted mortality from AML in men and women
of all races above the age of 50 years in 2005 is 8.57
per 100,000 population (NCI, 2011). It is notable that
four cases expired between 2002 and 2006, two of
which had worked in the same department. The
Nebraska Cancer Registry reports 89 total leukemia
deaths in the county during this period, and that AML
accounted for approximately 27% of all leukemia
cases in the state from 2003 to 2007 (Nebraska Cancer
Registry, 2010). Using this percentage, the presented
AML deaths from this facility would hypothetically
represent 17% (4 of 24) of all AML mortality in the
county between 2002 and 2006.
Cigarette smoking may have contributed to an
increased risk of AML from benzene exposure within
tobacco smoke in Cases 1 and 3; however, each of
Table 2. AML in employees at rubber belt and hose plant.
Case
no. Gender Diagnosis
Year of
birth
Year of
diagnosis
Year of
death
Age at
death
Years of
employment
Employment
length
1 M MDS and AML 1931 2003 2004 73 1968–1994 26
2 F AML 1947 2005 2006 59 1965–1995 30
3 M MPD and AML 1952 2005 2006 54 1984–2005 21
4 M MDS and AML 1927 – 1998 71 1950–1980 30
5 F MDS and AML 1937 – 2003 66 1960–1997 37
6 M AML 1930 1994 1994 63 1954–1989 35
7 F AML 1922 – 2001 79 – –
AML: acute myeloid leukemia; MDS: myelodysplastic
syndrome; MPD: myeloproliferative disorder; M: male; F:
female.
Peckham et al. 75
these cases stopped smoking over 15 years before
their AML diagnoses. The cancer risk associated with
cigarettes has been reported to diminish over time
(Richardson et al., 2008). Smoking data was not
available for the four auxiliary cases. Newly diag-
nosed AML patients have a median age of 65 years
(Deschler and Lubbert, 2006). Cases 2 and 3 were
under the age of 60 years at time of death, while the
average age of the seven AML deaths was 66.4 years.
There is no indication of other leukemia risk factors in
this group, such as exposure to radiation, formalde-
hyde, or prior chemotherapy. We propose that
decades of occupational exposure to benzene present
in the toluene-based solvent used at the facility likely
caused or contributed to the development of AML.
Inference of benzene contamination in the toluene
solvent is supported by the physicochemical proper-
ties of toluene, reports of usage of toluene and other
hydrocarbons leading to benzene air concentrations
above occupational limits, reports of benzene-
related disease from toluene exposure, and toluene
material safety data sheet (MSDS) reporting up to
5% benzene as recent as 2008 (Table 3).
The International Agency for Research on Cancer
(IARC) classifies toluene as a group 3 carcinogen,
indicating that the data are insufficient to implicate
carcinogenicity to humans (IARC, 1989). Usage of
organic solvents such as toluene in occupational
settings often lead to overlapping exposures, as they
contain multiple aromatic and aliphatic hydrocarbons
as impurities. Reports from the 1940s describe
toluene-exposed workers exhibiting typical benzene-
related hematological effects (Greenburg et al.,
1942; Wilson, 1943), which are now attributed to the
presence of benzene as a contaminant (ATSDR,
2000). A recent study specifically investigated over-
lapping exposures to organic solvents and concluded
that benzene present in aromatic solvent mixtures was
likely to be responsible for the observed elevations in
leukemia and lymphoma (Cocco et al., 2010).
As early as 1977, a significant increase in total
lymphohematopoietic and leukemia deaths was seen
in a group of rubber workers exposed only to benzene
(Infante et al., 1977; Rinsky et al., 1981). Subsequent
research has confirmed the ability of benzene to cause
malignant and nonmalignant hematopoietic disorders
and suggests that increased risk occurs at levels mark-
edly lower than first reported (Hayes et al., 1997,
2001). In particular, Glass et al. (2003) found, in a
case–control study of the Health Watch cohort, that
the risk of leukemia was increased at all cumulative
exposures above 2 parts per million (ppm)/years with
no evidence of a threshold cumulative exposure
below which there was no risk (Glass et al., 2003).
Prior to reliable epidemiological data, benzene had
already been deemed as a leukemogen and potent
hematotoxin due to an ample collection of case report
series (Aksoy et al., 1974; Vigliani and Forni, 1976).
We have included available chromosomal studies
in the three index AML cases. There is currently an
interest in collecting this data to guide therapy and
estimate prognostic differences. A chromosomal pat-
tern or fingerprint that is unique for benzene has been
suggested (Gillis et al., 2007); however, available data
do not support this claim (Smith, 2008).
Benzene as a contaminant of toluene and other
petrochemicals
American Society for Testing and Materials Interna-
tional (ASTM) has published specifications for the
properties of nitration and industrial grades of toluene
(ASTM, 1984, 2002). The maximum boiling range
establishes the specified purity of both the grades of
toluene, and the temperature at which a toluene/benzene
mixture starts to boil corresponds to the equilibrium
molar concentration of benzene at that temperature.
Toluene’s boiling point is 110.6�C. For the nitration
grade toluene, the boiling range must be �1�C, and for
the industrial grade toluene, the boiling range is
Table 3. Benzene content of toluene in MSDS issued after 2000.
Product
Benzene content
(ppm) by weight
Benzene content
(% by weight) Reference
Commercial grade toluene 20,000 (up to 50,000) 2–5% Equistar
Chemicals LLP, 2008a
Nitration grade toluene 20,000 (up to 50,000) 2–5% Equistar
Chemicals LLP, 2008b
Nitration toluene Up to 10,000 Up to 1% ExxonMobil Chemical,
2002
Nitration toluene Up to 10,000 Up to 1% ExxonMobil Chemical,
2003
Commercial grade toluene Up to 25,000 Up to 2.5% Chevron
Phillips Chemical Company, 2003
MSDS: material safety data sheet; ppm: parts per million.
76 Toxicology and Industrial Health 30(1)
expanded to 2�C. Using a recirculation type vapor–
liquid equilibrium apparatus at a temperature of
107.04�C, benzene comprised 8.1%, or 81,000 ppm,
of the benzene/toluene mixture (Kesselman et al.,
1968). Similar analysis reveal that toluene solvent meet-
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  • 1. REVIEW Open Access Work-related leukemia: a systematic review Ioannis Polychronakis1*, George Dounias2, Vasilios Makropoulos2, Elena Riza1 and Athena Linos1 Abstract Leukemia is a complex disease, which only became better understood during the last decades following the development of new laboratory techniques and diagnostic methods. Despite our improved understanding of the physiology of the disease, little is yet known about the causes of leukemia. A variety of potential risk factors have been suggested so far, including personal habits and lifestyle, and a wide range of occupational or environmental exposures. A causal association with leukemia has only been documented to date for ionizing radiation, benzene and treatment with cytostatic drugs, but there is an ongoing scientific debate on the possible association of leukemia with a number of other work-related hazards. In this article, we have reviewed scientific studies, published over the past 5 years, which investigated potential associations between leukemia and exposure to occupational risk factors. The systematic literature review took place via electronic databases, using specific search criteria, and independent reviewers have further filtered the search results to identify the number of articles, presented in our paper. A large number of studies included in the review referred to the effects of ionizing radiation, where new data suggest that the effects of exposure to small doses of ionizing radiation should probably be reevaluated. Some
  • 2. other works appear to substantiate a potential association of the disease with certain pesticides. Further research is also suggested regarding the role of infectious agents or exposure to certain chemicals like formaldehyde or butadiene in the pathogenesis of leukemia. Keywords: Leukemia, Exposure, Occupation, Worker, Work- related, Hazard, Risk-factor Review Introduction The term "leukemia" refers to a group of diseases with different biological background, clinical presentation, prognosis and response to treatment, characterized by a malignant transformation of hematopoietic cells which produce an abnormal leukemic population (clone) of cells suppressing the production of normal blood cellular com- ponents. The disease was first identified in the mid-19th century when different researchers described a common pathology caused by abnormalities of the white blood cells [1], hence the term “Leukemia” which originates from the Greek words “Leuko” (white) and “Haema” (blood). While scientific research has advanced significantly since then as regards to the underlying pathophysiology of the various types of the disease, our knowledge on the causative factors involved in the development of leukemia is still limited. Different researchers have proposed a number of po- tential risk factors for leukemia, but to date exposure to ionizing radiation, alkylating agents and benzene [2] re- main the only hazards for which an association with leukemia has been substantiated. An association between ionizing radiation and leukemia was first assumed in the early 20th century, following the
  • 3. effects of uncontrolled exposure of patients and medical personnel to the radiation used for diagnostic and thera- peutic purposes [1,3]. Those observations were further corroborated by the findings of Life Span Study (LSS) among the A-Bomb survivors of Hiroshima and Nagasaki [4-7], which persist for decades following exposure to radi- ation [8,9] and the follow-up studies among cleaning- workers in Chernobyl reactor site [10]. Benzene is according to the current scientific knowledge the second best-documented risk factor for the develop- ment of leukemia [11]. Its chemical properties have led to its widespread use as a solvent in a number of industrial applications, and occupational exposure to benzene has been documented for workers in different production sec- tors i.e. production of chemicals, pharmaceuticals, plastics, * Correspondence: [email protected] 1Department of Hygiene, Epidemiology and Medical Statistics, University of Athens, Medical School, 75 Mikras Asias 115 27, Goudi, Athens, Greece Full list of author information is available at the end of the article © 2013 Polychronakis et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 http://www.occup-med.com/content/8/1/14
  • 4. mailto:[email protected] http://creativecommons.org/licenses/by/2.0 synthetic rubbers, paints, oil processing etc. [12-14]. Epidemiological studies have shown a significant associ- ation between exposure to Benzene and the incidence of acute myeloid leukemia (AML) [15-17]. Cytostatic drugs, and especially chemotherapeutic regi- mens containing alkylating agents such as Busulfan, Chlorambucil, Cyclophosphamide etc. used in the treat- ment of solid organ malignancies are another documented risk factor for developing leukemia, as a number of clinical trials on cancer therapeutics has shown an association be- tween this category of drugs and the development of sec- ondary leukemia [18], particularly AML [19]. Despite their known toxicity to oncology patients and the precautionary measures taken to prevent occupational exposure, a num- ber of workers from different disciplines could be exposed to significant concentrations of cytostatic drugs during their production, transportation, distribution, preparation and administration to patients [20-22]. Nevertheless, little is known regarding the potential effect of this exposure on the risk of developing the disease [23-26]. Taking into account the limited knowledge on its ac- tual causes, the investigation of the role of different work-related risk factors in the development of leukemia would be of great scientific interest, providing valuable insight on the etiology of the disease and the available options for the protection of health of specific categories of workers or the public, given the widespread use of dif- ferent chemical compounds and technological applica- tions in common consumer products.
  • 5. The growing number of related publications over the last years indicates an increasing concern of the scientific com- munity and recent studies have presented new information as regards our cumulative experience from the application of different technologies and chemical or biological factors in industry, necessitating a review of the current literature on the subject. Therefore through this paper we systematically col- lected and summarized all relevant scientific informa- tion that has been published internationally in the English language over the last years, exploring the potential role of occupational "risk factors" in the devel- opment of the disease. Materials and methods The article review on the role of occupational risk factors in the development of leukemia took place between September and December 2010. The literature search was carried out via the internet, using the online medical database "Pubmed" supported by the US National Library of Medicine and the more generic search-engine "Google Scholar". The methodology followed by the research team for the selection of articles is presented schematically in Figure 1. At a first stage, all published articles containing the word "leukemia” as part of their title, as a key-word or as a reference in their full text have been collected. A set of criteria was adopted to narrow down the search results, excluding studies published more than 5 years prior to the review, studies that referred to sub- jects younger than 18 years (since the review referred
  • 6. to work-related risk factors) and studies whose full text was not available in English. All types of publica- tions (i.e. prospective or retrospective studies, original articles, literature reviews, meta-analyses etc.) were considered at this stage. The initial search recovered more than 10.000 articles (629 literature reviews) who were filtered by 2 different reviewers as regards their pertinence to the scopes of the study. The reviewers screened the abstracts of all col- lected articles and considered for further review only studies that referred to the potential effect of various risk factors (exposures) in the development of leukemia. The occupational or environmental nature of exposure was not examined at this stage. The review investigated in- formation on the potential role of occupational risk factors regardless of the research type (toxicological, molecular, epidemiological study etc.) therefore no selection took place on the basis of specific study design. Nevertheless, with the exception of a number of articles who were fur- ther reviewed to elucidate potential points of interest, the overwhelming majority of clinical trials and laboratory studies were clearly non-relevant to the context of the re- view and were directly excluded, limiting the number of articles at the end of second phase to 278. For the final selection process the remaining articles were examined in detail by both reviewers. In cases of agreement, the corresponding articles were either ex- cluded or included in the final list, while in cases of ambi- guity there was further discussion among the 2 reviewers and a third reviewer who played the role of a referee, in order to reach consensus. Articles considered eligible for inclusion were those that referred to specific categories of workers or expos-
  • 7. ure to occupational hazards and their effect on leukemia. The role of environmental exposures on leukemia was beyond the scope of this paper and all related studies were subsequently excluded. A limited number of the reviewed articles on ionizing radiation and benzene did not refer specifically to occu- pational exposure, but their findings were considered significant for understanding the role of those hazards in occupational settings and were thus included in the final list. Finally, while leukemia in children was beyond the objectives of this study, the effect of parental occu- pational exposure on the risk of the disease among their offspring was considered work-related and therefore similar studies were also included in the final review. Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 2 of 16 http://www.occup-med.com/content/8/1/14 The 71 final studies, along with their main findings are presented in Tables 1, 2 and 3 classified according to the author, year, type of study and type of exposure. Table 1 presents the reviewed articles on physical hazards, Table 2 presents articles on chemical and biological hazards and Table 3 refers to others types of hazards and specific cat- egories of workers. Main findings Ionizing radiation As anticipated, the largest proportion of studies referred to ionizing radiation, which is to date the best docu- mented risk factor for leukemia. An update of Life Span Study findings has shown that
  • 8. exposure to ionizing radiation at doses as low as those usually recorded in occupational settings, leukemia inci- dence follows a quadratic dose response pattern, which peaks about 10 years following exposure and persists for decades [6,9]. Moreover, there is uncertainty on whether the proposed safety limits from the International Commis- sion on Radiological Protection (ICRP) are appropriate, since revised LSS data show that the risk of leukemia remains increased even in groups with low cumulative exposure to radiation while most of the existing studies do not have sufficient statistical power to identify existing associations at such low exposure levels [98,99]. Ongoing observations on the impact of Chernobyl acci- dent have shown that predictions based on LSS data present a high margin of error [100]. To date, a statistically significant increase of leukemia incidence has only been observed among the cleaning personnel that worked around the reactor site after the accident [29,30]. The study of Abramenko et al on specific genetic variants of CLL among this group of workers [28] implies a potential association among exposure to radiation and CLL which warrants further investigation given the lack of supporting evidence from previous studies. As regards to a potential excess risk of leukemia among workers in the nuclear industry, the results of recent studies remain inconclusive. A number of studies among workers in nuclear-weapon industry have pro- duced negative results [32-37] and despite sporadic positive findings, no significantly increased risk of leukemia has been established to date for nuclear power plant personnel [38,98,99] and other categories of workers involved in other industrial applications of
  • 9. Figure 1 Article selection process for the review. The chart presented in this figure shows the overall process for the selection of articles from the initial electronic search to the final selection of the reviewed studies. Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 3 of 16 http://www.occup-med.com/content/8/1/14 Table 1 Reviewed articles on physical hazards and leukemia Researcher Year Type of study Exposure Main findings A. Ionizing radiation and leukemia 1) Update of LSS study findings Little et al. [6] 2009 Review Ionizing radiation Leukemia RR follows the pattern of LSS study for low dose (occupational) exposure - Lower RR per dose unit for higher doses of radiation Richardson et al. [9] 2009 Cohort study Ionizing radiation Exposure to >5 mGy of radiation is responsible for 1/3 of leukemia cases after 5 decades – ERR/Gy follows a quadratic dose-response model for AML. ALL and CML mortality follow a linear dose-response model. 2) Cleanup workers employed in Chernobyl nuclear incident Rahu et al. [27] 2006 Cohort study Ionizing radiation No
  • 10. significant increase in leukemia incidence among workers (SIR 1.53, 95% CI 0.62 - 3.17). A marginally significant increase has been observed among Latvian workers but it was based on a small number of cases. Abramenko et al. [28] 2008 Cohort study Ionizing radiation Among a cohort of CLL patients, specific genetic polymorphisms where observed more frequently among cleanup workers exposed to radiation following the nuclear accident in Chernobyl than in non-exposed CLL patients Romanenko et al. [29,30] 2008 Nested case- control study Ionizing radiation Positive linear trend (p = 0.03) between increasing exposure to radiation and leukemia risk. The ERR/Gy for leukemia was 3.44 (95% CI 0.47 – 9.78). A linear dose - response relationship has been shown for ALL and (surprisingly) for CLL. Kesminiene et al. [31] 2008 Case-control study Ionizing radiation A statistically significant association was shown (at 90% but not at 95% level) between AL and employment as a cleanup worker in the surrounding area (<30 km) of Chernobyl accident site (OR 8.31, 90% CI 1.17 - 122). 3) Workers in nuclear industry Boice et al. [32] 2006 Cohort study Ionizing radiation No significant increase in leukemia mortality (SMR 1.21, 95% CI 0.69- 1.97) or increased leukemia risk for the highly-exposed group (RR 1.34, 95% CI 0.73–2.45) was shown among workers.
  • 11. Richardson et al. [33] 2007 Cohort study Ionizing radiation (& exposure to chemicals) A borderline significant increase of leukemia mortality was shown (at 90% but not at 95% level) only for operators and manual workers (SMR 1.36, 90% CI 1.02 - 1.78) and for workers employed >30 years (SMR 1.63, 90% CI 1.07 - 2.52). Richardson et al. [34] 2007 Nested case- control study Ionizing radiation Assuming a 3-year time lag, no significantly increased ERR/10 mSv was shown for all leukemias (0.041, 90% CI -0.001 – 0.116), for leukemias excluding CLL (0.077, 90% CI 0.014 – 0.198) or for myeloid leukemia (0.123, 90% CI 0.021 - 0.354). Schubauer-Berigan et al. [35] 2007 Nested case- control study Ionizing radiation A non-significant positive association between radiation dose and leukemia risk was shown for doses 10 - 100 mSv, with an estimated ERR/10 mSv of 0.068 (95% CI -0.029 - 0.24). Schubauer-Berigan et al. [36] 2007 Nested case- control study Ionizing radiation A non-significant positive association between radiation dose and CLL risk was shown for doses 10 - 100 mSv, with an estimated ERR/10 mSv of 0.20 (95% CI -0.035 – 0.96).
  • 12. Matanoski et al. [37] 2008 Cohort study Ionizing radiation No statistically significant increase of leukemia mortality (SMR 0.91, 95% CI 0.56 – 1.39 and 0.42, 95% 0.11 – 1.07 for exposure to > 5.0 mSv and <5.0 mSv of radiation respectively) was shown among workers Ashmore et al. [38] 2010 Review Ionizing radiation Previous study of IARC (2005) who found no statistically significant association between leukemia and radiation exposure among workers in nuclear industry could be biased due to inaccurate estimation of exposure. P o lych ro n akis et a l. Jo u rn a l o f O ccu p
  • 14. 1 6 h ttp ://w w w .o ccu p -m ed .co m /co n ten t/8 /1 /1 4 Table 1 Reviewed articles on physical hazards and leukemia (Continued) 4) Medical applications of radiation
  • 15. Lie et al. [39] 2008 Cohort study Ionizing radiation No significant increase in leukemia risk was found for the group nurses with the longest (> 30 years) employment in posts exposed to radiation compared to the group of non-exposed nurses (RR 0.77, 95% CI 0.35 – 1.69). Samerdokiene et al. [40] 2009 Cohort study Ionizing radiation No significant increase in leukemia incidence (SIR 3.3, 95% CI 0.68- 9.63 for men and 2.67, 95% CI 0.92-4.2 for women) was shown among personnel employed in medical applications of ionizing radiation. Ramos et al. [41] 2008 Case-control study (exposure assessment) Ionizing radiation The projected risk of leukemia cases/1000 person-years based on cumulative radiation exposure among a group of interventional radiologists differed between 2 methods of exposure assessment (1.07-3.98 according to the physical method compared to 1.07- 11.21 for the biological method) suggesting a potential improper use of personal dosimeters. Ramos et al. [42] 2009 Molecular epidemiological study Ionizing radiation The projected LAR of leukemia (cases/1000 person-years) among interventional radiologists due to radiation exposure, was much higher according to biological methods of exposure assessment (9.2) compared to physical methods (2.18). 5) Industrial applications of ionizing radiation
  • 16. Ahn et al. [43] 2008 Cohort study Ionizing radiation (industrial applications) No statistically significant increase of leukemia SMR or SRR was shown among personnel exposed to radiation (workers in medical applications, research laboratories, nuclear facilities, non-destructive testing, military facilities etc.). 6) Extraction and use of uranium compounds Storm [44] 2006 Cohort study Depleted uranium No statistically significant increase of leukemia incidence was found among military personnel exposed to depleted uranium used during military operations (SIR 1.4, 95% CI 0.4 - 3.5). Mohner [45] 2006 Case-control study Uranium mining (radionuclides) No significant increase of leukemia risk was found in the group with the highest cumulative exposure to radon (> 400 mSv) compared to the low exposure group (OR 2.21, 90% CI 1.25–3.91). Mohner [46] 2010 Case-control study Uranium mining (radionuclides) No significant increase of leukemia risk was found among the group of workers with the highest (> 200 mSv) cumulative exposure (OR 1.33, 90% CI 0.82-2.14). B. Non-ionizing radiation (EMF) and leukemia Roosli [47] 2007 Cohort-study ELF EMF A significantly
  • 17. increased Hazard Ratio was shown for myeloid leukemia among the workers with the highest exposure to ELF EMF (HR 4.74, 95% CI 1.04-21.6, p=0.035). Kheifets [48] 2008 Meta-analysis EMF A small but statistically significant increase in leukemia risk was found among the exposed group (RR 1.16, 95% CI 1.11-1.22 for all leukemias). P o lych ro n akis et a l. Jo u rn a l o f O ccu p a tio n a
  • 19. ://w w w .o ccu p -m ed .co m /co n ten t/8 /1 /1 4 Table 2 Reviewed articles on chemical and biological hazards and leukemia Researcher Year Type of study Exposure Main findings 1) Exposure to benzene Zhang [49] 2007 Molecular epidemiological study
  • 20. Exposure to benzene A statistically significant increase % of genetic aberrations commonly observed in chemotherapy-related leukemias has been shown among workers exposed to benzene compared to non-exposed controls. Richardson [50] 2009 Cohort study Exposure to benzene The observed pattern of leukemia mortality among rubber- production workers exposed to benzene, compared to the prediction of a TSCE statistical model suggests that benzene plays a role to the kinetics of cancer cells rather than the initial malignant transformation. Rushton [51] 2010 Ecological study Exposure to benzene The Attributable Fraction (AF) of population mortality from acute non-lymphocytic leukemia related to occupational exposure to benzene was estimated at 0.25% (95% CI 0.0-4.65). 2) Exposure to organic solvents (incl. benzene) Costantini et al. [52] 2008 Polycentric case- control study Organic solvents A significant increase of CLL risk has been shown among the groups of workers with moderate – high exposure to Benzene (OR 1.8, 95% CI 0.9-3.9), and high exposure to Xylene (OR 1.9, 95% CI 0.8-4.5) and Toluene (OR 2.1, 95% CI 0.9-4.7). Cocco et al. [53] 2010 Case-control study Organic solvents A small but statistically significant increase of CLL risk (OR 1.3, 95% CI 1.1-1.6) was
  • 21. shown for workers ever exposed to organic solvents (exposure to any solvent or combined exposure of benzene with toluene, xylene or gasoline) compared to non-exposed. Lehman et al. [54] 2006 Cohort study Organic solvents No statistically significant increase in mortality from leukemia was found among exposed workers in footwear industry, compared with the general population (SMR 1.01, 95% CI 0.67-1.48). 3) Exposure to Dioxins Atallah et al. [55] 2007 Case-report Dioxins – Agent Orange A rare case of Acute Promyelocytic Leukemia (APL) in a former USAF pilot, who was involved in spraying Agent Orange during the Vietnam War, was reported. Collins et al. [56] 2009 Cohort-study TCDD No significant increase of leukemia mortality was shown among exposed workers (SMR 1.9, 95% CI 1.0- 3.2). No significant association was shown between leukemia mortality and cumulative exposure (ppb) to TCDD (p=0.34). 4) Exposure to chemical compounds used in the synthetic rubber industry Delzell et al. [57] 2006 Cohort-study BD, DMDTC and Styrene A positive association was shown between (all) leukemias, CML and CLL mortality and occupational exposure to BD. A positive association was also found between leukemia and exposure to Styrene or DMDTC, but in both cases there was
  • 22. also co-exposure to BD. Beall et al. [58] 2007 Cohort-study Solvents, aromatic amines No increased leukemia incidence (SIR 0.68, 95% CI 0.14-1.98) or mortality (SMR 0.95, 95% CI 0.31- 2.23) has been observed among exposed workers, compared to the general population. Cheng et al. [59] 2007 Cohort-study BD A statistically significant association was shown between leukemia risk and exposure to BD, for cumulative exposure in ppm-years (RR 3.84, 95% CI 1.51- 9. 76), frequency of exposure (RR 4.26, 95% CI 1.62-11.21) and average exposure in ppm (RR 3.93, 95% CI 1.5-10.32). Sathiakumar et al. [60,61] 2009 Cohort-study BD and Styrene In contrast to the results observed among men workers, no statistically significant association was found between exposure of women workers to BD and mortality from leukemia (SMR 0.78, 95% CI 0.38-1.44). P o lych ro n akis et a l.
  • 25. /1 /1 4 Table 2 Reviewed articles on chemical and biological hazards and leukemia (Continued) 5) Exposure to Formaldehyde Beane Freeman [62] 2009 Cohort-study Formaldehyde A non- significant increase in mortality from (all) leukemias (RR 1.42, 95% CI 0.92- 2.18) and myeloid leukemia (RR 1.78, 95% 0.87- 3.64) was shown in the group with the highest exposure (> 4ppm) compared to the group with the lowest exposure. Hauptmann [63] 2009 Case-control study Formaldehyde A statistically significant association between mortality from myeloid leukemia and increasing years of employment (p=0.02) or maximum exposure to formaldehyde (p=0.036) was shown among embalmers. Zhang [64] 2010 Molecular epidemiological study Formaldehyde A statistically significant decrease of cell-lines, reduced activity of the CFU-GMs and increase of leukemia-related genetic aberrations has been shown among workers exposed to formaldehyde compared to non-exposed controls. Speit [65] 2010 Letter to the editor Formaldehyde A number of
  • 26. methodological issues call into question the reliability of the findings of the study of Zhang et al, on in-vitro evidence of leukemia- specific chromosomal changes in workers exposed to formaldehyde. 6) Exposure to Lead Lam [66] 2007 Cohort study Occupational exposure to lead A non-significant increase of CML incidence was shown (SIR 1.75, 95% CI 0.02- 9.71) among the cohort of workers exposed to lead (metal constructions, metal processing industry, foundries, manufacture of batteries and electronics, glass production). 7) Exposure to different types of pesticides, herbicides and insecticides Mahajan [67] 2006 Cohort study - (AHS) Organophosphate pesticide - Fonofos A statistically significant increase of leukemia risk was found among pesticide applicators with the highest exposure (based on duration and intensity of exposure) compared to the non-exposed (RR 2.67, 95% CI 1.06-6.70). Mahajan [68] 2006 Cohort study - (AHS) Organophosphate pesticide - Phorate The small number of recorded cases of leukemia among exposed workers did not allow for any reliable conclusions.
  • 27. Miligi [69] 2006 Case-control study Different groups of pesticides No significant association with leukemia risk was shown for exposure to fungicides (OR 1.0, 95% CI 0.7 -1.3), herbicides (OR 1.4, 95% CI 0.8-2.3), insecticides (OR 1.0, 95% CI 0.7 -1.4), molluscicides (OR 0.9, 95% CI 0.3-2.5) or rodenticides (OR 0.4, 95% CI 0.1-1.2). Hansen [70] 2007 Cohort study Arsenate pesticides, Atrazine, Dichlorvos, Captafol, Amitrol, Lindane, DDT A significant increase of leukemia incidence (SIR 2.33, 95% CI 1.32- 4.10) was found among the group of gardeners with high exposure to pesticides, previous to the 1960 restriction of the use of potentially carcinogenic substances. Purdue [71] 2007 Cohort study - (AHS) Organochlorine insecticides (Aldrin, Chlordane, DDT, Dieldrin, Heptachlor, Lindane, Toxaphene) A marginal statistically significant association was found between the leukemia risk and previous use of any of the Organochlorine pesticides (RR 2.0, 95% CI 1.0-4.1), Lindane (RR 2.0, 95% CI 1.1-3.5) or Heptachlor (RR 2.1, 95% CI 1.1- 3.9). van Bemmel [72] 2008 Cohort study - (AHS) Thio-carbamate herbicide EPTC No statistically significant increase of leukemia risk was shown for workers exposed
  • 28. EPTC (RR 1.31, 95% CI 0.75-2.28) compared to the non- exposed. Chrisman Jde [73] 2009 Ecological study All pesticides A statistically significant increase of leukemia mortality was observed in areas with increased per capita use of pesticides (MRR 1.6, 95% CI 1.55-1.66 and 1.93, 95% CI 1.87-2.0 for the 1st quartile of pesticide use, compared to the 2nd and 3rd quartile respectively). Delancey [74] 2009 Cohort study - (AHS) Herbicide Metribuzin A statistically non-significant increase of leukemia risk was shown among the group of pesticide applicators with the highest cumulative exposure to Metribuzin (RR 2.42, 95% CI 0.82-7.19, p=0.08). P o lych ro n akis et a l. Jo u rn a l o f
  • 31. and leukemia (Continued) Orsi [75] 2009 Case-control study Organochlorine insecticides, Phenoxy – herbicides, Triazine- containing herbicides A significant association was shown between the risk of hairy cell leukemia (HCL) and exposure to Organochlorine insecticides (OR 4.9, 95% CI 1.1-21.2), Phenoxy-herbicides (OR 4.1, 95% CI 1.1-15.5) and Triazine-containing herbicides (OR 5.1, 95% CI 1.4-19.3). Rusiecki [76] 2009 Cohort study - (AHS) Exposure to Permethrin No significant association was shown between exposure to Permethrin and leukemia risk among workers (RR 1.74, 95% CI 0.83 - 3.64 and 1.34, 95% CI 0.61-2.92 for workers with the longest duration of exposure or the highest cumulative exposure respectively). 8) Combined chemical and biological hazards in agriculture Bassil [77] 2007 Literature review Combined exposure to pesticides, insecticides and work with livestock 6 cohort studies and 8 case-control studies have shown a statistically significant association between pesticide exposure and leukemia risk, and 2 cohort studies have shown an association between leukemia risk and work with livestock. 9) Biological hazards in agriculture and food industry
  • 32. Moore [78] 2007 Case-control study (multicentric) Occupational exposure to meat products A statistically significant association was found between CLL risk and occupational exposure to meat products, for workers with exposure> 16 years to cattle and poultry meat (OR 2.51, 95% CI 1.12 - 5.66 and 2.06, 95% CI 1.17 - 3.63 respectively). Johnson [79] 2010 Cohort study Occupational exposure to meat products A statistically significant increase of lymphatic leukemia mortality was shown among men workers in slaughterhouses and poultry meat processing plants (SMR 5.9, 95% CI 1.6-15.2). No similar increase was found among female workers. Johnson [80] 2010 Cohort study Occupational exposure to meat products A statistically significant increase of lymphatic leukemia proportional mortality was observed only among non-white women workers in slaughterhouses and poultry meat processing plants (PMR 6.4, 95% CI 1.3-31.1). P o lych ro n
  • 35. n ten t/8 /1 /1 4 ionizing radiation (medicine, research laboratories, non- destructive testing etc.) [39,40,43]. Exposure to minimal doses of radiation during the min- ing and processing of uranium has not been associated with a significantly increased risk of leukemia among exposed workers [45,46]. Moreover, despite existing weaknesses in their methodological design and statistical power [101], recent studies did not record any statistically significant increase in leukemia risk among military personnel exposed to depleted uranium products during military operations [44,102]. Non-ionizing radiation (EMF) Occupational exposure to electromagnetic fields (EMF) constitutes an area of ongoing scientific debate over the re- cent years, mainly because of the rising public health con- cern regarding EMF. There has been high inconsistency among the results of previous studies, but the research group of the International Commission on Non-Ionizing Radiation Protection (ICNIRP) concluded that existing lit- erature on EMF exposure converges on the existence of a small but statistically significant increase in leukemia risk among occupationally exposed groups [47]. These findings were further supported by more recent studies, which iden-
  • 36. tified a small but statistically significant excess risk of leukemia among workers highly exposed to extremely low frequency electromagnetic fields (ELF EMF) [47,48]. Benzene Among various chemical exposures in the workplace, Benzene is a well-documented risk factor for leukemia. As regards the potential toxicity of Benzene at cellular level, Zhang et al have observed in vitro a significantly higher number of genetic lesions associated with chemotherapy-related leukemia among Benzene-exposed workers [49], while Richardson et al have proposed a model of two-stage clonal expansion (TSCE) of cancer cells where Benzene acts as a promoter (rather than an initiator) affecting the kinetics of initiated blood cells [50]. A recent study in Great Britain estimated that due to the widespread use of benzene-containing com- pounds in various applications, occupational exposure to Benzene is responsible for about 0.19% of the overall in- cidence of non-lymphocytic leukemia in men and 0.34% in women [51], while a similar study in Korea has shown that Benzene constitutes at population-level a more sig- nificant occupational risk factor for leukemia than ioniz- ing radiation [103]. Other organic solvents Most epidemiological studies on occupational exposure to organic solvents other from Benzene have not investigated exposure to each compound separately, therefore the effect of co-exposure to benzene in the observed excess risk of leukemia could not be ruled out [52,53]. In a single study where exposure to organic solvents (Toluene, Hexane, Acetone, and Methyl-ethyl-ketone) was investi- gated independently from Benzene, no significantly in- creased risk of leukemia has been observed among the
  • 37. exposed workers [54]. Butadiene and dimethyl-dithio-carbamate An interesting finding that warrants further research has occurred from a series of studies conducted on workers in the synthetic rubber industry, where a statis- tically significant excess risk of CML and CLL following a dose-response relationship was shown among workers exposed to 1.3-butadiene (BD) and dimethyl-dithio-car- bamate (DMDTC) [57,59]. Interestingly, a similar find- ing was not observed among female workers, although their cumulative exposure to the specific compounds had been much smaller than men [60,61]. Formaldehyde Although formaldehyde has been classified by the Inter- national Agency for Research on Cancer (IARC) in Group 1 “Carcinogenic to Humans” as regards to other types of malignancies [104,105], a potential role in the develop- ment of leukemia remains an area of ongoing scientific controversy, as epidemiological findings remain inconclu- sive [62,106] and no plausible theory has been proposed to date to explain a toxic effect on progenitors of blood cells [107]. In 2 recent Meta-analyzes of relevant studies how- ever, a statistically significant excess risk of leukemia has been observed among those occupationally exposed to for- maldehyde [108,109], while despite the criticism over its methodological weaknesses [110] an additional study has shown a statistically significant dose–response association between exposure to formaldehyde and mortality from myeloid leukemia among embalmers [63]. As regards the elucidation of the potential role of formaldehyde in the pathogenesis of leukemia, Zhang et al have reported in vitro evidence of formaldehyde myelotoxicity and iden- tification of leukemia-characteristic genetic lesions among the myeloid lineage of formaldehyde-exposed workers
  • 38. [64], although there have been major objections to their findings by a different group of researchers [65]. Overall, while existing data could provide some explanation for the potential toxicity of Formaldehyde in remote target-organs and the negative findings in experimental animals, it seems that there is still a long way when it comes to docu- ment a role of Formaldehyde in the pathogenesis of leukemia [111]. Lead The toxic effects of exposure to Lead on bone marrow have long been recognized. However, the cohort study of Lam et al. among lead-exposed workers (metal Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 9 of 16 http://www.occup-med.com/content/8/1/14 construction, metal processing, battery manufacture, glass production and electronics’ industry) has not detected any significant increase of leukemia risk [66]. Pesticides Pesticides are a class of chemicals long suspected for carcinogenicity, and a number of different studies have been conducted over the last decade to investigate the toxic effect of specific classes of pesticides or compounds and their potential role in the development of leukemia. With the exception of an Italian case-control study which has shown no significant association between leukemia risk and exposure to the main categories of pesticides [69], a number of studies have recorded statistically significant excess risk of leukemia among agricultural workers exposed to pesticides in general [73,77], or specific
  • 39. categories of pesticides such as Phenoxy-herbicides, Triazine herbicides, Arsenic-containing pesticides, Atra- zine, Lindane, Dichloro Diphenyl Trichloroethane (DDT), etc. [70,75]. A positive association was also shown between leukemia and exposure to organophos- phate pesticide Fonofos [67], while for workers exposed to thio-carbamate herbicide EPTC [72], Organochlorine insecticides [71], Metribuzin [74] and Permethrin [76] no statistically significant excess leukemia risk was found. Infectious agents – contact with animals The potential association of leukemia with exposure to infectious agents is not a new theory but there seems to be a renewed interest as regards to the epidemiological investigation of this hypothesis during the last decade. A number of epidemiological studies have investigated the existing risk of leukemia among specific occupational groups in livestock farming, food production and pro- cessing where a higher theoretical risk of exposure to biological agents from the animal population exists [112-114]. The findings of those studies support the above hypothesis, as a statistically significant increase of leukemia risk was shown for workers in livestock farm- ing [77,115], and a number of occupations i.e. workers in slaughterhouses, butchers, cooks, etc. involved in the processing of animal meat products [78-80]. Specific occupational groups at risk Of the published epidemiological studies that investigated potential associations of leukemia with specific occupa- tional groups over the last 5 years, a statistically significant increase in mortality from leukemia has been recorded among the personnel of chemical laboratories [84] and oil processing facilities [86], while no increased risk for leukemia was shown for firefighters [85] and tannery
  • 40. workers [88]. In 2 epidemiological studies conducted among healthcare personnel, no increased risk for leukemia was shown for the group of nurses [81] and neu- rosurgeons [83] while the findings of a third study which has shown increased mortality from CLL among nurses may be strongly affected by overdiagnosis of the disease due to the increased health awareness of the specific group [82]. Furthermore, a number of ecological-design studies have recorded a statistically significant excess risk of leukemia among specific categories of workers which in- clude women (other than nurses) working in the healthcare sector [89], workers whose tasks involve expos- ure to Polychlorinated Biphenyls (PCBs) and printing inks [91], workers exposed to benzene or pesticides or working near high voltage lines [92], workers in plastic production, cleaning and construction work [93], and several categor- ies of workers in the agricultural sector i.e. fruit and vege- table growers, nursery workers, farmers, florists etc. [93]. Parental occupational exposure and childhood leukemia With regards to the potential association of childhood leukemia with parental occupational exposure, paternal exposure to pesticides and herbicides has not been associ- ated with increased risk [94]. The study of Pearce et al has shown a potential association of paternal exposure to EMF with childhood leukemia, but their findings could be the effect of co-exposure to ionizing radiation [95]. Finally, paternal exposure to carcinogens [97] and maternal expos- ure to solvents [96] especially during pregnancy and after birth have been associated with increased risk of child- hood leukemia among their offspring. Conclusions The studies included in this literature review, present the current scientific knowledge on the potential effect
  • 41. of work-related hazards in the pathogenesis of leukemia. It must be noted, a number of those studies suffer from methodological weaknesses which in certain cases con- stitute their findings precarious. Given the relatively low incidence and the long natural history of the disease, the investigation of a potential effect of an occupational exposure on leukemia requires large- scale cohort studies with long follow-up period to acquire the necessary statistical strength, which usually exceeds the resources or the size of the study cohort. Even when the above conditions are met, the statistical strength of a study can be significantly reduced if the study protocol for the assessment of exposure contains flaws. The establish- ment of the role of an occupational hazard in the develop- ment of leukemia assumes the demonstration of both a statistically significant impact on leukemia incidence or mortality between the exposed and non-exposed as well as a dose-response effect for different levels of exposure. In cases where available data on personal exposure is insuffi- cient, as appears to be the case for a number of the cohort studies included in this review, an over- or under- Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 10 of 16 http://www.occup-med.com/content/8/1/14 Table 3 Reviewed articles on other hazards and leukemia Researcher Year Type of study Exposure Main findings A) Occupational exposure and risk of leukemia among different categories of workers
  • 42. 1) Healthcare workers Dimich-Ward [81] 2007 Cohort study Working as a nurse No increased leukemia mortality (SMR 0.78, 95% CI 0.49-1.18) or incidence was found among the cohort of nurses (SIR for myelogenous and lymphatic leukemia was 1.21, 95% CI 0.85- 1.68 and 1.02, 95% CI 0.63-1.56 respectively). Abel [82] 2009 Cohort study (Nurses’ Health Study) Working as a nurse A statistically significant increase of CLL incidence was found among nurses compared to the general population (SIR 1.35, 95% CI 1.17- 1.54). Lollis [83] 2010 Cohort study Exposure to different health hazards of operating theaters No statistically significant increase in mortality from leukemia was observed among neurosurgeons compared to the general population (SMR 1.2, 95% CI 0.75-1.9). 2) Workers in chemical laboratories Kubale [84] 2008 Cohort study Radionuclides, benzene and other hazards in the laboratories of nuclear research facilities Leukemia mortality of workers did not differ significantly from the general population (SMR 0.78, 95% CI 0.45-1.25). A significant positive association was shown between leukemia risk and duration of employment for those employed
  • 43. >20 years (SRR was 9.51, 95% CI 1.67-54.17 and 11.44, 95% CI 1.88-69.54, for an estimated 2- or 5-year time-lag of the disease respectively). 3) Firefighters Bates [85] 2007 Case-control study Inhalation of toxic combustion products The risk of developing leukemia did not differ significantly between firefighters and the non-exposed group (OR 1.22, 95% CI 0.99-1.49). 4) Workers in petroleum processing facilities Huebner [86] 2009 Cohort study Byproducts of petroleum distillation and processing A statistically significant increase of mortality from acute (non- lymphoblastic) leukemia was observed among workers in the chemical department (SMR 1.81, 95% CI 1.06-2.90), but no association with duration of employment or specific job posts was identified. Gazdek [87] 2007 Ecological study Emissions from oil and gas processing plants Statistically significant geographic variation of acute myeloid leukemia incidence was observed among populations of different regions, depending on their proximity to oil- and gas-processing plants. 5) Tannery workers
  • 44. Iaia [88] 2006 Cohort study Chemicals used in leather processing No significant increase of myeloid leukemia mortality was found among tannery workers exposed to chemicals used for leather processing (SMR was 2.08, 90% CI 0.82–4.37 for men and 5.99, 90% CI 1.06-18.87 for women). 6) Different occupational categories Firth [89] 2007 Ecological study Different occupational exposures of women A significant increase of leukemia proportional mortality was found among women employed in the healthcare sector (PMR 1.52, 95% CI 1.08- 2.09) but not for nurses (PMR 1.42, 95% CI 0.96-2.01). Hoffmann [90] 2008 Case-control study Ionizing radiation, pesticides and EMF 15% of men (16% of women) participants reported occupational exposure to pesticides, 4% (8% women) reported exposure to ionizing radiation (for > 1 year) and 64% of participants reported having lived sometime in their life in the proximity (<20 km) of a nuclear plant. Richardson [91] 2008 Case-control study Different occupational exposures A statistically significant increase of CLL risk was shown among workers exposed to polychlorinated biphenyls (PCBs) (OR 1.48, 95% CI 1.02-2.16) and printing inks (OR 1.89, 95% CI 1.21-2.96). P o
  • 47. ed .co m /co n ten t/8 /1 /1 4 Table 3 Reviewed articles on other hazards and leukemia (Continued) Kaufman [92] 2009 Case-control study Benzene, pesticides, ionizing radiation and EMF A statistically significant increase of myeloid leukemia was shown among workers exposed to Benzene (OR 3.9, 95% CI 1.3- 11), other non-specified solvents (OR 2.1, 95% CI 1.1- 4.9), pesticides (OR 3.8, 95% CI 2.1-7.1) and EMF (OR 4.3, 95% CI 1.3-15). McLean [93] 2009 Case-control study Different occupational exposures A statistically significant increase of leukemia risk was found among workers employed in fruit and vegetable cultivation (OR 2.62, 95% CI 1.51 - 4.55) and in nurseries (OR 7.51, 95% CI 1.85-30.38), machine operators in plastic production
  • 48. facilities (OR 3.76, 95% CI 1.08-13.08), tailors and dressmakers (OR for CLL 7.01, 95% CI 1.78-27.68), cleaners (OR for CLL 2.04, 95% CI 1.00-4.14) and construction workers (OR for CLL 4.03, 95% CI 1.30-12.53). B) Occupational exposure and risk of leukemia among the offspring of different categories of workers Pearce [94] 2006 Case-control study Pesticides and herbicides Paternal occupational exposure to pesticides and herbicides did not appear to be associated with a higher risk of leukemia among their offspring (OR 0.55, 95% CI 0.26-1.16 and 1.15, 95% CI 0.61 - 2.17 for children living in urban and rural areas respectively). Pearce [95] 2007 Case-control study EMF, ionizing radiation A statistically significant association was shown between the risk of childhood leukemia and previous paternal occupational exposure to EMF (and ionizing radiation) (OR 1.31, 95% CI 1.02-1.69), especially among the offspring of electricians (OR 1.59, 95% CI 1.12 - 2.26). McKinney [96] 2008 Case-control study Solvents, degreasing and cleaning agents A statistically significant association was found among acute lymphoblastic leukemia risk in children and maternal exposure to solvents, degreasing and cleaning agents, during the period of pregnancy (OR 2.7, 95% CI 1.6- 4.6) and postpartum (OR 1.9, 95% CI 1.1- 3.3).
  • 49. Perez-Saldivar [97] 2008 Case-control study Carcinogenic compounds A statistically significant association was found between childhood leukemia risk and previous paternal exposure to carcinogens (OR 2.06, 95% CI 1.24-3.42). P o lych ro n akis et a l. Jo u rn a l o f O ccu p a tio n a l M ed icin
  • 51. w .o ccu p -m ed .co m /co n ten t/8 /1 /1 4 estimation of exposure in certain groups of workers may have led to non-differential misclassification, reducing their statistical strength below the point where a weak (but existing) statistical association could be identified. Case-control studies were susceptible to even more types of error, since apart from misclassification bias as regards the exposure (or the diagnosis, especially in studies based on historical records) major types of systematic error could undermine the reliability of their findings. Most case- control studies took place long after exposure, and the pos- sibility of recall-bias, leading to an erroneous estimation of exposure, is high. Recall-bias could introduce a major error
  • 52. in the results of the studies especially when it is unevenly distributed among cases and controls (e.g. studies where exposure assessment was based on indirect information given by close relatives of colleagues of leukemia patients). Furthermore, some of the studies may have been affected by selection bias either as a result of a change in the com- position of their reference population (e.g. migration of leukemia patients for diagnostic or therapeutic purposes outside a country may have led to over-representation of lower socio-economic classes and specific occupational groups among cases) or the over-representation of protect- ive health behaviors among controls due to the followed sampling methodology. A major concern with regards to published literature re- views and meta-analyses was the low comparability among the studies they were based on, as their different methodo- logical design, analytical methods and presentation of re- sults, made even simple comparisons among their findings difficult, let alone further processing of the data for the purpose of meta-analysis. This has affected some of the findings presented in this review, as some of the meta- analyses, as admitted by their own authors, could have reached completely different results if some of the large- scale studies which have been excluded from the analysis had met the criteria for inclusion. Overall, during the reference period of this study there have not been any radical changes in the existing scien- tific knowledge as regards the role of work-related haz- ards in the pathogenesis of leukemia. The findings of the reviewed articles confirm or fail to negate previous scientific observations on the effect of known risk factors, and there is adequate consistency among researchers as to the causal association between
  • 53. ionizing radiation or benzene and leukemia. Nevertheless, the results of different studies remain contradictory as regards the effect of radiation on different occupational groups, and the impact on leukemia risk at different exposure levels. Regarding exposure to benzene as a single compound, or as part of mixtures of solvents, the findings are consistent as to a positive association with the risk of leukemia among exposed workers, yet no agreement exists on its exact role on the development of the disease. The epidemiological findings of different studies remain contradictory on the role of most of the remaining sug- gested risk factors. The positive associations shown by a number of studies as regards occupational exposure to EMF, BD or infectious agents warrant further research in the future, as different researchers fail to reproduce their statistically significant results. In the case of formaldehyde apart from the inconsistency of epidemiological findings as regards the effect on leukemia among exposed workers, there is also a scientific debate as to the plausibility of a theoretical model of action explaining its role in the devel- opment of the disease. Finally, the reviewed studies on oc- cupational exposure to a number of plant protection products (pesticides, herbicides, insecticides) indicate a large heterogeneity among this group of chemical com- pounds as regards their potential effect on the risk of leukemia, and could provide an adequate explanation for the low reproducibility of findings among different researchers when characterization of exposure is not clearly defined. The number of collected articles (especially cohort studies) investigating the potential association between different occupational hazards and leukemia, published during the previous years, indicates a growing scientific interest in the specific field in an attempt to improve
  • 54. our understanding on the causal factors of the disease. Nevertheless, based on the reviewed studies the potential effect of those hazards on the observed incidence and mortality of leukemia, if existing, is expected to be so subtle that could easily go unnoticed by small- or medium-scale epidemiological studies. Therefore, even negative results should be evaluated with caution, pend- ing additional information from ongoing research. Technology has provided new tools to researchers dur- ing the last decades for in vitro investigation of diseases like leukemia at cellular or molecular level. This will be perhaps the key to unraveling the pathophysiological mechanisms of this complex disease and acquire new insight on the actual causes of leukemia in the future, since epidemiology appears to have reached its limits as regards to introducing new knowledge in this field. It is possible that, for diseases such as leukemia, the day when classical epidemiology will give its place to en- vironmental genomics or proteomics to investigate com- plex interactions between occupational or environmental exposures and their effect at genetic or molecular level, is not far from today. Abbreviations RR: Relative risk; ERR: Excess relative risk; Gy: Gray; LSS: Life span study; AML: Acute myeloid leukemia; CML: Chronic myelogenous leukemia; ALL: Acute lymphoblastic leukemia; CLL: Chronic lymphocytic leukemia; AL: Acute leukemia; PEL: Permissible exposure limit; ppm: Parts per million; TWA: Time weighted average; ICRP: International Commission on
  • 55. Radiological Protection; EMF: Electromagnetic fields; ELF EMF: Extremely low frequency electromagnetic fields; ICNIRP: International Commission on Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 13 of 16 http://www.occup-med.com/content/8/1/14 Non-Ionizing Radiation Protection; TSCE: Two-stage clonal expansion; BD: 1.3- butadiene; DMDTC: Dimethyl-dithio-carbamate; IARC: International Agency for Research on Cancer; DDT: Dichloro Diphenyl Trichloroethane; EPTC: S-ethyl-N,N-dipropylthiocarbamate; PCB: Polychlorinated Biphenyls; SIR: Standardized Incidence Ratio; OR: Odds Ratio; mSv: Millisievert; LAR: Life-time Attributable Risk; AF: Attributable fraction; APL: Acute Promyelocytic Leukemia; USAF: United States Air Force; TCDD: Tetrachloro- dibenzo-dioxin; CFU-GM: Colony Forming Unit-Granulocyte/Macrophage; AHS: Agricultural Health Study. Competing interests The authors declare that they have no competing interests. Authors’ contributions IP, GD, VM, ER, and AL have made substantial contributions to the conception and design of the review, acquisition of the review
  • 56. data and have been involved in drafting and revising the manuscript. All authors have read and approved the final manuscript. Author details 1Department of Hygiene, Epidemiology and Medical Statistics, University of Athens, Medical School, 75 Mikras Asias 115 27, Goudi, Athens, Greece. 2Occupational & Industrial Hygiene Department, National School of Public Health, 96 Alexandras Av. 11521, Athens, Greece. Received: 26 October 2012 Accepted: 6 May 2013 Published: 22 May 2013 References 1. Bozzone DM: The biology of cancer: Leukemia. New York: Infobase Publishing; 2009. 2. Boyle P, Levin B (Eds): World Cancer Report 2008. Lyon: International Agency for Research on Cancer (IARC); 2008. 3. Mughal TI, Goldman JM, Mughal ST: Understanding Leukemias, Lymphomas and Myelomas. London: Taylor & Francis; 2006. 4. Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation, National Research Council: Health Risks from exposure to low levels of ionizing radiation: BEIR VII Phase 2. Washington D.C.: The
  • 57. National Academies Press; 2006. 5. Kato H, Schull WJ: Studies of the mortality of A-bomb survivors. 7. Mortality, 1950-1978: Part I. Cancer mortality. Radiat Res 1982, 90:395–432. 6. Little MP: Cancer and non-cancer effects in Japanese atomic bomb survivors. J Radiol Prot 2009, 29:A43–A59. 7. Preston DL, Pierce DA, Shimizu Y, Cullings HM, Fujita S, Funamoto S, Kodama K: Effect of recent changes in atomic bomb survivor dosimetry on cancer mortality risk estimates. Radiat Res 2004, 162:377– 389. 8. Preston DL, Kusumi S, Tomonaga M, Izumi S, Ron E, Kuramoto A, Kamada N, Dohy H, Matsuo T, Matsui T, et al: Cancer incidence in atomic bomb survivors. Part III. Leukemia, lymphoma and multiple myeloma, 1950- 1987. Radiat Res 1994, 137:S68–S97. 9. Richardson D, Sugiyama H, Nishi N, Sakata R, Shimizu Y, Grant EJ, Soda M, Hsu WL, Suyama A, Kodama K, Kasagi F: Ionizing radiation and leukemia mortality among Japanese Atomic Bomb Survivors, 1950-2000. Radiat Res 2009, 172:368–382. 10. Noshchenko AG, Zamostyan PV, Bondar OY, Drozdova VD:
  • 58. Radiation- induced leukemia risk among those aged 0-20 at the time of the Chernobyl accident: a case-control study in the Ukraine. Int J Cancer 2002, 99:609–618. 11. Austin H, Delzell E, Cole P: Benzene and leukemia. A review of the literature and a risk assessment. Am J Epidemiol 1988, 127:419–439. 12. Pubchem Compound Database: Benzene - Compound Summary CID 241: http://pubchem.ncbi.nlm.nih.gov/summary/summary.cgi?cid=24 1&loc=ec_rcs. 13. Moen BE, Steinsvag K, Braveit M: What do we know about chemical hazards in offshore work? Tidsskr Nor Laegeforen 2004, 124:2627–2629. 14. Hayes RB, Songnian Y, Dosemeci M, Linet M: Benzene and lymphohematopoietic malignancies in humans. Am J Ind Med 2001, 40:117–126. 15. Rinsky RA, Smith AB, Hornung R, Filloon TG, Young RJ, Okun AH, Landrigan PJ: Benzene and leukemia. An epidemiologic risk assessment. N Engl J Med 1987, 316:1044–1050. 16. Khalade A, Jaakkola MS, Pukkala E, Jaakkola JJ: Exposure to benzene at work and the risk of leukemia: a systematic review and meta- analysis.
  • 59. Environ Health 2010, 9:31. 17. Lamm SH, Engel A, Joshi KP, Byrd DM 3rd, Chen R: Chronic myelogenous leukemia and benzene exposure: a systematic review and meta- analysis of the case-control literature. Chem Biol Interact 2009, 182:93– 97. 18. Rowley JD, Golomb HM, Vardiman J: Acute leukemia after treatment of lymphoma. N Engl J Med 1977, 297:1013. 19. Sekeres MA, Kalaycio ME, Bolwell BJ (Eds): Clinical Malignant Hematology. New York: McGraw-Hill; 2007. 20. Connor TH, McDiarmid MA: Preventing occupational exposures to antineoplastic drugs in health care settings. CA Cancer J Clin 2006, 56:354–365. 21. Mason HJ, Morton J, Garfitt SJ, Iqbal S, Jones K: Cytotoxic drug contamination on the outside of vials delivered to a hospital pharmacy. Ann Occup Hyg 2003, 47:681–685. 22. Preventing Occupational Exposures to Antineoplastic and Other Hazardous Drugs in Health Care Settings. Cincinnati: Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health; 2004.
  • 60. 23. Skov T, Maarup B, Olsen J, Rorth M, Winthereik H, Lynge E: Leukaemia and reproductive outcome among nurses handling antineoplastic drugs. Br J Ind Med 1992, 49:855–861. 24. Skov T, Lynge E, Maarup B, Olsen J, Rorth M, Winthereik H: Risks for physicians handling antineoplastic drugs. Lancet 1990, 336:1446. 25. Ratner PA, Spinelli JJ, Beking K, Lorenzi M, Chow Y, Teschke K, Le ND, Gallagher RP, Dimich-Ward H: Cancer incidence and adverse pregnancy outcome in registered nurses potentially exposed to antineoplastic drugs. BMC Nurs 2010, 9:15. 26. McDiarmid MA, Oliver MS, Roth TS, Rogers B, Escalante C: Chromosome 5 and 7 abnormalities in oncology personnel handling anticancer drugs. J Occup Environ Med 2010, 52:1028–1034. 27. Rahu M, Rahu K, Auvinen A, Tekkel M, Stengrevics A, Hakulinen T, Boice JD Jr, Inskip PD: Cancer risk among Chernobyl cleanup workers in Estonia and Latvia, 1986-1998. Int J Cancer 2006, 119:162–168. 28. Abramenko I, Bilous N, Chumak A, Davidova E, Kryachok I, Martina Z, Nechaev S, Dyagil I, Bazyka D, Bebeshko V: Chronic lymphocytic
  • 61. leukemia patients exposed to ionizing radiation due to the Chernobyl NPP accident–with focus on immunoglobulin heavy chain gene analysis. Leuk Res 2008, 32:535–545. 29. Romanenko A, Bebeshko V, Hatch M, Bazyka D, Finch S, Dyagil I, Reiss R, Chumak V, Bouville A, Gudzenko N, et al: The Ukrainian- American study of leukemia and related disorders among Chornobyl cleanup workers from Ukraine: I. Study methods. Radiat Res 2008, 170:691–697. 30. Romanenko AY, Finch SC, Hatch M, Lubin JH, Bebeshko VG, Bazyka DA, Gudzenko N, Dyagil IS, Reiss RF, Bouville A, et al: The Ukrainian-American study of leukemia and related disorders among Chornobyl cleanup workers from Ukraine: III. Radiation risks. Radiat Res 2008, 170:711–720. 31. Kesminiene A, Evrard AS, Ivanov VK, Malakhova IV, Kurtinaitis J, Stengrevics A, Tekkel M, Anspaugh LR, Bouville A, Chekin S, et al: Risk of hematological malignancies among Chernobyl liquidators. Radiat Res 2008, 170:721–735. 32. Boice JD, Cohen SS, Mumma MT, Dupree Ellis E, Eckerman KF, Leggett RW, Boecker BB, Brill AB, Henderson BE: Mortality among radiation workers at Rocketdyne (Atomics International), 1948-1999. Radiat Res 2006,
  • 62. 166:98–115. 33. Richardson DB, Wing S, Wolf S: Mortality among workers at the Savannah River Site. Am J Ind Med 2007, 50:881–891. 34. Richardson DB, Wing S: Leukemia mortality among workers at the Savannah River Site. Am J Epidemiol 2007, 166:1015–1022. 35. Schubauer-Berigan MK, Daniels RD, Fleming DA, Markey AM, Couch JR, Ahrenholz SH, Burphy JS, Anderson JL, Tseng CY: Risk of chronic myeloid and acute leukemia mortality after exposure to ionizing radiation among workers at four U.S. nuclear weapons facilities and a nuclear naval shipyard. Radiat Res 2007, 167:222–232. 36. Schubauer-Berigan MK, Daniels RD, Fleming DA, Markey AM, Couch JR, Ahrenholz SH, Burphy JS, Anderson JL, Tseng CY: Chronic lymphocytic leukaemia and radiation: findings among workers at five US nuclear facilities and a review of the recent literature. Br J Haematol 2007, 139:799–808. Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 14 of 16 http://www.occup-med.com/content/8/1/14 http://ntp.niehs.nih.gov/ntp/roc/twelfth/2009/november/formald ehyde_bd_final.pdf
  • 63. 37. Matanoski GM, Tonascia JA, Correa-Villasenor A, Yates KC, Fink N, Elliott E, Sanders B, Lantry D: Cancer risks and low-level radiation in U.S. shipyard workers. J Radiat Res (Tokyo) 2008, 49:83–91. 38. Ashmore JP, Gentner NE, Osborne RV: Incomplete data on the Canadian cohort may have affected the results of the study by the International Agency for Research on Cancer on the radiogenic cancer risk among nuclear industry workers in 15 countries. J Radiol Prot 2010, 30:121–129. 39. Lie JA, Kjaerheim K, Tynes T: Ionizing radiation exposure and cancer risk among Norwegian nurses. Eur J Cancer Prev 2008, 17:369–375. 40. Samerdokiene V, Atkocius V, Valuckas KP: The risk of cancer among Lithuanian medical radiation workers in 1978-2004. Medicina (Kaunas) 2009, 45:412–418. 41. Ramos M, Montoro A, Almonacid M, Ferrer S, Barquinero JF, Tortosa R, Verdu G, Rodriguez P, Barrios L, Villaescusa JI: Radiation effects in interventional radiology using biological and physical dosimetry methods: a case-control study. Conf Proc IEEE Eng Med Biol Soc 2008, 2008:2809–2812.
  • 64. 42. Ramos M, Montoro A, Almonacid M, Ferrer S, Barquinero JF, Tortosa R, Verdu G, Rodriguez P, Barrios LL, Villaescusa JI: Radiation effects analysis in a group of interventional radiologists using biological and physical dosimetry methods. Eur J Radiol 2009, 75:259–264. 43. Ahn YS, Park RM, Koh DH: Cancer admission and mortality in workers exposed to ionizing radiation in Korea. J Occup Environ Med 2008, 50:791–803. 44. Storm HH, Jorgensen HO, Kejs AM, Engholm G: Depleted uranium and cancer in Danish Balkan veterans deployed 1992-2001. Eur J Cancer 2006, 42:2355–2358. 45. Mohner M, Lindtner M, Otten H, Gille HG: Leukemia and exposure to ionizing radiation among German uranium miners. Am J Ind Med 2006, 49:238–248. 46. Mohner M, Gellissen J, Marsh JW, Gregoratto D: Occupational and diagnostic exposure to ionizing radiation and leukemia risk among German uranium miners. Health Phys 2010, 99:314–321. 47. Roosli M, Lortscher M, Egger M, Pfluger D, Schreier N, Lortscher E, Locher P, Spoerri A, Minder C: Leukaemia, brain tumours and exposure to extremely low frequency magnetic fields: cohort study of Swiss
  • 65. railway employees. Occup Environ Med 2007, 64:553–559. 48. Kheifets L, Monroe J, Vergara X, Mezei G, Afifi AA: Occupational electromagnetic fields and leukemia and brain cancer: an update to two meta-analyses. J Occup Environ Med 2008, 50:677–688. 49. Zhang L, Rothman N, Li G, Guo W, Yang W, Hubbard AE, Hayes RB, Yin S, Lu W, Smith MT: Aberrations in chromosomes associated with lymphoma and therapy-related leukemia in benzene-exposed workers. Environ Mol Mutagen 2007, 48:467–474. 50. Richardson DB: Multistage modeling of leukemia in benzene workers: a simple approach to fitting the 2-stage clonal expansion model. Am J Epidemiol 2009, 169:78–85. 51. Rushton L, Brown TP, Cherrie J, Fortunato L, Van Tongeren M, Hutchings SJ: How much does benzene contribute to the overall burden of cancer due to occupation? Chem Biol Interact 2009, 184:290–292. 52. Costantini AS, Benvenuti A, Vineis P, Kriebel D, Tumino R, Ramazzotti V, Rodella S, Stagnaro E, Crosignani P, Amadori D, et al: Risk of leukemia and multiple myeloma associated with exposure to benzene and other organic solvents: evidence from the Italian Multicenter Case-
  • 66. control study. Am J Ind Med 2008, 51:803–811. 53. Cocco P, t'Mannetje A, Fadda D, Melis M, Becker N, de Sanjose S, Foretova L, Mareckova J, Staines A, Kleefeld S, et al: Occupational exposure to solvents and risk of lymphoma subtypes: results from the Epilymph case-control study. Occup Environ Med 2010, 67:341–347. 54. Lehman EJ, Hein MJ: Mortality of workers employed in shoe manufacturing: an update. Am J Ind Med 2006, 49:535–546. 55. Atallah E, Schiffer CA: Agent Orange, prostate cancer irradiation and acute promyelocytic leukemia (APL): is there a link? Leuk Res 2007, 31:720–721. 56. Collins JJ, Bodner K, Aylward LL, Wilken M, Bodnar CM: Mortality rates among trichlorophenol workers with exposure to 2,3,7,8- tetrachlorodibenzo-p-dioxin. Am J Epidemiol 2009, 170:501– 506. 57. Delzell E, Sathiakumar N, Graff J, Macaluso M, Maldonado G, Matthews R: An updated study of mortality among North American synthetic rubber industry workers. Res Rep Health Eff Inst 2006(132):1–63. discussion 65-74. 58. Beall C, Corn M, Cheng H, Matthews R, Delzell E: Mortality and cancer
  • 67. incidence among tire manufacturing workers hired in or after 1962. J Occup Environ Med 2007, 49:680–690. 59. Cheng H, Sathiakumar N, Graff J, Matthews R, Delzell E: 1,3-Butadiene and leukemia among synthetic rubber industry workers: exposure- response relationships. Chem Biol Interact 2007, 166:15–24. 60. Sathiakumar N, Delzell E: A follow-up study of women in the synthetic rubber industry: study methods. Chem Biol Interact 2007, 166:25–28. 61. Sathiakumar N, Delzell E: A follow-up study of mortality among women in the North American synthetic rubber industry. J Occup Environ Med 2009, 51:1314–1325. 62. Beane Freeman LE, Blair A, Lubin JH, Stewart PA, Hayes RB, Hoover RN, Hauptmann M: Mortality from lymphohematopoietic malignancies among workers in formaldehyde industries: the National Cancer Institute Cohort. J Natl Cancer Inst 2009, 101:751–761. 63. Hauptmann M, Stewart PA, Lubin JH, Beane Freeman LE, Hornung RW, Herrick RF, Hoover RN, Fraumeni JF Jr, Blair A, Hayes RB: Mortality from lymphohematopoietic malignancies and brain cancer among embalmers exposed to formaldehyde. J Natl Cancer Inst 2009, 101:1696–
  • 68. 1708. 64. Zhang L, Tang X, Rothman N, Vermeulen R, Ji Z, Shen M, Qiu C, Guo W, Liu S, Reiss B, et al: Occupational exposure to formaldehyde, hematotoxicity, and leukemia-specific chromosome changes in cultured myeloid progenitor cells. Cancer Epidemiol Biomarkers Prev 2010, 19:80–88. 65. Speit G, Gelbke HP, Pallapies D, Morfeld P: Occupational exposure to formaldehyde, hematotoxicity and leukemia-specific chromosome changes in cultured myeloid progenitor cells. Cancer Epidemiol Biomarkers Prev 2010, 19:1882–1884. author reply 1884-1885. 66. Lam TV, Agovino P, Niu X, Roche L: Linkage study of cancer risk among lead-exposed workers in New Jersey. Sci Total Environ 2007, 372:455–462. 67. Mahajan R, Blair A, Lynch CF, Schroeder P, Hoppin JA, Sandler DP, Alavanja MC: Fonofos exposure and cancer incidence in the agricultural health study. Environ Health Perspect 2006, 114:1838–1842. 68. Mahajan R, Bonner MR, Hoppin JA, Alavanja MC: Phorate exposure and incidence of cancer in the agricultural health study. Environ Health Perspect 2006, 114:1205–1209. 69. Miligi L, Costantini AS, Veraldi A, Benvenuti A, Vineis P:
  • 69. Cancer and pesticides: an overview and some results of the Italian multicenter case-control study on hematolymphopoietic malignancies. Ann N Y Acad Sci 2006, 1076:366–377. 70. Hansen ES, Lander F, Lauritsen JM: Time trends in cancer risk and pesticide exposure, a long-term follow-up of Danish gardeners. Scand J Work Environ Health 2007, 33:465–469. 71. Purdue MP, Hoppin JA, Blair A, Dosemeci M, Alavanja MC: Occupational exposure to organochlorine insecticides and cancer incidence in the Agricultural Health Study. Int J Cancer 2007, 120:642–649. 72. van Bemmel DM, Visvanathan K, Beane Freeman LE, Coble J, Hoppin JA, Alavanja MC: S-ethyl-N,N-dipropylthiocarbamate exposure and cancer incidence among male pesticide applicators in the agricultural health study: a prospective cohort. Environ Health Perspect 2008, 116:1541–1546. 73. Chrisman Jde R, Koifman S, de Novaes Sarcinelli P, Moreira JC, Koifman RJ, Meyer A: Pesticide sales and adult male cancer mortality in Brazil. Int J Hyg Environ Health 2009, 212:310–321. 74. Delancey JO, Alavanja MC, Coble J, Blair A, Hoppin JA, Austin HD, Beane Freeman LE: Occupational exposure to metribuzin and the
  • 70. incidence of cancer in the Agricultural Health Study. Ann Epidemiol 2009, 19:388–395. 75. Orsi L, Delabre L, Monnereau A, Delval P, Berthou C, Fenaux P, Marit G, Soubeyran P, Huguet F, Milpied N, et al: Occupational exposure to pesticides and lymphoid neoplasms among men: results of a French case-control study. Occup Environ Med 2009, 66:291–298. 76. Rusiecki JA, Patel R, Koutros S, Beane-Freeman L, Landgren O, Bonner MR, Coble J, Lubin J, Blair A, Hoppin JA, Alavanja MC: Cancer incidence among pesticide applicators exposed to permethrin in the Agricultural Health Study. Environ Health Perspect 2009, 117:581–586. 77. Bassil KL, Vakil C, Sanborn M, Cole DC, Kaur JS, Kerr KJ: Cancer health effects of pesticides: systematic review. Can Fam Physician 2007, 53:1704–1711. 78. Moore T, Brennan P, Becker N, de Sanjose S, Maynadie M, Foretova L, Cocco P, Staines A, Nieters A, Font R, et al: Occupational exposure to meat and risk of lymphoma: a multicenter case-control study from Europe. Int J Cancer 2007, 121:2761–2766. Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 15 of 16
  • 71. http://www.occup-med.com/content/8/1/14 79. Johnson ES, Ndetan H, Lo KM: Cancer mortality in poultry slaughtering/ processing plant workers belonging to a union pension fund. Environ Res 2010, 110:588–594. 80. Johnson ES, Zhou Y, Lillian Yau C, Prabhakar D, Ndetan H, Singh K, Preacely N: Mortality from malignant diseases-update of the Baltimore union poultry cohort. Cancer Causes Control 2010, 21:215–221. 81. Dimich-Ward H, Lorenzi M, Teschke K, Spinelli JJ, Ratner PA, Le ND, Chow Y, Shu D, Gallagher RP: Mortality and cancer incidence in a cohort of registered nurses from British Columbia, Canada. Am J Ind Med 2007, 50:892–900. 82. Abel GA, Bertrand KA, Earle CC, Laden F: Outcomes for lymphoid malignancies in the Nurses' Health Study (NHS) as compared to the Surveillance, Epidemiology and End Results (SEER) Program. Hematol Oncol 2009, 28:133–136. 83. Lollis SS, Valdes PA, Li Z, Ball PA, Roberts DW: Cause- specific mortality among neurosurgeons. J Neurosurg 2010, 113:474–478. 84. Kubale T, Hiratzka S, Henn S, Markey A, Daniels R,
  • 72. Utterback D, Waters K, Silver S, Robinson C, Macievic G, Lodwick J: A cohort mortality study of chemical laboratory workers at Department of Energy Nuclear Plants. Am J Ind Med 2008, 51:656–667. 85. Bates MN: Registry-based case-control study of cancer in California firefighters. Am J Ind Med 2007, 50:339–344. 86. Huebner WW, Wojcik NC, Jorgensen G, Marcella SP, Nicolich MJ: Mortality patterns and trends among 127,266 U.S.-based men in a petroleum company: update 1979-2000. J Occup Environ Med 2009, 51:1333–1348. 87. Gazdek D, Strnad M, Mustajbegovic J, Nemet-Lojan Z: Lymphohematopoietic malignancies and oil exploitation in Koprivnica- Krizevci County, Croatia. Int J Occup Environ Health 2007, 13:258–267. 88. Iaia TE, Bartoli D, Calzoni P, Comba P, De Santis M, Dini F, Farina GA, Valiani M, Pirastu R: A cohort mortality study of leather tanners in Tuscany, Italy. Am J Ind Med 2006, 49:452–459. 89. Firth H, Gray A, Carpenter LM, Cox B: Cancer mortality by occupation among New Zealand women: 1988-1997. N Z Med J 2007, 120:U2833. 90. Hoffmann W, Terschueren C, Heimpel H, Feller A, Butte W,
  • 73. Hostrup O, Richardson D, Greiser E: Population-based research on occupational and environmental factors for leukemia and non-Hodgkin's lymphoma: the Northern Germany Leukemia and Lymphoma Study (NLL). Am J Ind Med 2008, 51:246–257. 91. Richardson DB, Terschuren C, Hoffmann W: Occupational risk factors for non-Hodgkin's lymphoma: a population-based case-control study in Northern Germany. Am J Ind Med 2008, 51:258–268. 92. Kaufman DW, Anderson TE, Issaragrisil S: Risk factors for leukemia in Thailand. Ann Hematol 2009, 88:1079–1088. 93. McLean D, Mannetje A, Dryson E, Walls C, McKenzie F, Maule M, Cheng S, Cunningham C, Kromhout H, Boffetta P, et al: Leukaemia and occupation: a New Zealand Cancer Registry-based case-control Study. Int J Epidemiol 2009, 38:594–606. 94. Pearce MS, Hammal DM, Dorak MT, McNally RJ, Parker L: Paternal occupational exposure to pesticides or herbicides as risk factors for cancer in children and young adults: a case-control study from the North of England. Arch Environ Occup Health 2006, 61:138– 144.
  • 74. 95. Pearce MS, Hammal DM, Dorak MT, McNally RJ, Parker L: Paternal occupational exposure to electro-magnetic fields as a risk factor for cancer in children and young adults: a case-control study from the North of England. Pediatr Blood Cancer 2007, 49:280–286. 96. McKinney PA, Raji OY, van Tongeren M, Feltbower RG: The UK Childhood Cancer Study: maternal occupational exposures and childhood leukaemia and lymphoma. Radiat Prot Dosimetry 2008, 132:232–240. 97. Perez-Saldivar ML, Ortega-Alvarez MC, Fajardo-Gutierrez A, Bernaldez-Rios R, Del Campo-Martinez Mde L, Medina-Sanson A, Palomo-Colli MA, Paredes- Aguilera R, Martinez-Avalos A, Borja-Aburto VH, et al: Father's occupational exposure to carcinogenic agents and childhood acute leukemia: a new method to assess exposure (a case-control study). BMC Cancer 2008, 8:7. 98. Telle-Lamberton M, Samson E, Caer S, Bergot D, Bard D, Bermann F, Gelas JM, Giraud JM, Hubert P, Metz-Flamant C, et al: External radiation exposure and mortality in a cohort of French nuclear workers. Occup Environ Med 2007, 64:694–700. 99. Gilbert ES: Invited commentary: studies of workers exposed to low doses of radiation. Am J Epidemiol 2001, 153:319–322. discussion
  • 75. 323-314. 100. Howe GR: Leukemia following the Chernobyl accident. Health Phys 2007, 93:512–515. 101. Lagorio S, Grande E, Martina L: Review of epidemiological studies of cancer risk among Gulf War and Balkans veterans. Epidemiol Prev 2008, 32:145–155. 102. Macfarlane GJ, Biggs AM, Maconochie N, Hotopf M, Doyle P, Lunt M: Incidence of cancer among UK Gulf war veterans: cohort study. BMJ 2003, 327:1373. 103. Kim EA, Lee WJ, Son M, Kang SK: Occupational lymphohematopoietic cancer in Korea. J Korean Med Sci 2010, 25:S99–S104. 104. Final Report on Carcinogens Background Document for Formaldehyde. Rep Carcinog Backgr Doc 2010:i–512. http://ntp.niehs.nih.gov/ntp/roc/ twelfth/2009/november/formaldehyde_bd_final.pdf. 105. Kupczewska-Dobecka M: Assessment of carcinogenicity of formaldehyde based on the newest literature data. Med Pr 2007, 58:527–539. 106. Collins JJ, Lineker GA: A review and meta-analysis of formaldehyde exposure and leukemia. Regul Toxicol Pharmacol 2004, 40:81– 91.
  • 76. 107. Golden R, Pyatt D, Shields PG: Formaldehyde as a potential human leukemogen: an assessment of biological plausibility. Crit Rev Toxicol 2006, 36:135–153. 108. Zhang L, Steinmaus C, Eastmond DA, Xin XK, Smith MT: Formaldehyde exposure and leukemia: a new meta-analysis and potential mechanisms. Mutat Res 2009, 681:150–168. 109. Schwilk E, Zhang L, Smith MT, Smith AH, Steinmaus C: Formaldehyde and leukemia: an updated meta-analysis and evaluation of bias. J Occup Environ Med 2010, 52:878–886. 110. Cole P, Adami HO, Trichopoulos D, Mandel JS: Re: Mortality from lymphohematopoietic malignancies and brain cancer among embalmers exposed to formaldehyde. J Natl Cancer Inst 2010, 102:1518– 1519. author reply 1519-1520. 111. Goldstein BD: Hematological and toxicological evaluation of formaldehyde as a potential cause of human leukemia. Hum Exp Toxicol 2011, 30:725–735. 112. Svec MA, Ward MH, Dosemeci M, Checkoway H, De Roos AJ: Risk of lymphatic or haematopoietic cancer mortality with occupational exposure to animals or the public. Occup Environ Med 2005,
  • 77. 62:726–735. 113. Fritschi L, Johnson KC, Kliewer EV, Fry R: Animal- related occupations and the risk of leukemia, myeloma, and non-Hodgkin's lymphoma in Canada. Cancer Causes Control 2002, 13:563–571. 114. McLean D, Pearce N: Cancer among meat industry workers. Scand J Work Environ Health 2004, 30:425–437. 115. Wong O, Harris F, Armstrong TW, Hua F: A hospital- based case-control study of acute myeloid leukemia in Shanghai: analysis of environmental and occupational risk factors by subtypes of the WHO classification. Chem Biol Interact 2010, 184:112–128. doi:10.1186/1745-6673-8-14 Cite this article as: Polychronakis et al.: Work-related leukemia: a systematic review. Journal of Occupational Medicine and Toxicology 2013 8:14. Submit your next manuscript to BioMed Central and take full advantage of: • Convenient online submission • Thorough peer review • No space constraints or color figure charges
  • 78. • Immediate publication on acceptance • Inclusion in PubMed, CAS, Scopus and Google Scholar • Research which is freely available for redistribution Submit your manuscript at www.biomedcentral.com/submit Polychronakis et al. Journal of Occupational Medicine and Toxicology 2013, 8:14 Page 16 of 16 http://www.occup-med.com/content/8/1/14 http://ntp.niehs.nih.gov/ntp/roc/twelfth/2009/november/formald ehyde_bd_final.pdf http://ntp.niehs.nih.gov/ntp/roc/twelfth/2009/november/formald ehyde_bd_final.pdf BioMed Central publishes under the Creative Commons Attribution License (CCAL). Under the CCAL, authors retain copyright to the article but users are allowed to download, reprint, distribute and /or copy articles in BioMed Central journals, as long as the original work is properly cited. AbstractReviewIntroductionMaterials and methodsMain findingsIonizing radiationNon-ionizing radiation (EMF)BenzeneOther organic solventsButadiene and dimethyl- dithio-carbamateFormaldehydeLeadPesticidesInfectious agents – contact with animalsSpecific occupational groups at riskParental occupational exposure and childhood leukemiaConclusionsAbbreviationsCompeting interestsAuthors’ contributionsAuthor detailsReferences BE2
  • 79. You manufacture WIDGETs. Your old machine broke. You can buy Machine #1 for $ 5000. Using machine #1, each widget will cost $ 10 to make. You can buy Machine #2 for $ 2000. Using machine #2, each widget will cost $ 15 to make. I would like to determine the breakeven point for A and B using TWO different methods. On sheet1, we will use GOAL-SEEK. On sheet2, we will use graphs. Here is an outline for sheet1: A B # of units Cost to make B2 units using machine #1 Cost to make B2 units using machine #2 Breakeven Point Hint: BEP is where both costs are equal. In general, when P=Q, then P-Q = 0. On sheet2, create the following grid A B C D # units Machine #1 cost Machine #2 cost Which is cheaper
  • 80. 300 400 500 600 700 800 Compute the cost to produce 300 units using machine #1, and then by machine #2, and using an =IF statement, tell me which machine is cheaper. Do the same for 400, 500, 600, 700, 800 units. As you can see, #2 is cheaper for smaller quantities and #1 is
  • 81. cheaper for larger quantities. Please create a line graph showing the two costs intersecting. Please have quantity as the x axis and dollars as the y axis. Article Benzene-contaminated toluene and acute myeloid leukemia: a case series and review of literature Trevor Peckham1, Melvyn Kopstein2, Jason Klein1 and James Dahlgren 1 Abstract We report seven cases of acute myeloid leukemia (AML) with occupational exposure to a toluene-based hydrocarbon solvent. The cases were employed at a facility, which manufactured rubber belts and hoses, between 1950 and 2005 for periods ranging from 21 to 37 total years. Detailed histories were obtained for three workers who were diagnosed with AML within a 3-year period (2003–2005). Death certificates, medical records, and accounts by workers were reviewed. Benzene, a known cause of AML, is typically a contaminant of toluene. Benzene contamination in toluene and other widely used solvents and the potential for concurrent benzene exposure during usage of these solvents in occupational settings are discussed. Keywords
  • 82. Benzene, acute myeloid leukemia (AML), toluene, occupational exposure, hydrocarbon solvent Introduction Benzene, a well known cause of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) (Baan et al., 2009; IARC, 1987; Smith, 2010), is pres- ent as a contaminant in many common petrochem- icals, including toluene, mineral spirits, and naphtha (Kopstein, 2011). Recent studies indicate that use of hydrocarbon solvents with benzene content of <0.1% can create breathing zone benzene air concen- trations that surpass occupational limits (Fedoruk et al., 2003; Kopstein, 2006) (Table 1). Similarly, occupational exposure via dermal absorption to mix- tures containing <0.1% benzene may significantly increase cancer risk (Brenner et al., 1998; Kalnas and Teitelbaum, 2000; Petty et al., 2011). We present seven cases of AML in workers with occupational exposure to a toluene-based hydrocar- bon solvent in a factory that manufactured rubber
  • 83. belts and hoses. Case-specific information on a subset of former employees was retrieved from death certif- icates, medical records, and accounts from workers. The AML cases were employed at the rubber plant between 1950 and 2005 for periods ranging from 21 to 37 total years. Detailed occupational and medical histories were obtained for three of the cases who developed the disease between 2003 and 2005. The toluene-based solvent was used for cleaning and removing misprints on manufactured rubber items and for cleaning ink from printing presses and is the only solvent identified by former workers. No infor- mation regarding other solvents being used at the facility or data regarding the benzene content of the toluene solvent were available for this assessment. Employees specify that personal protective equip- ment (i.e. respirators, impervious clothing, or gloves) were rarely, if ever, utilized when working with the
  • 84. toluene solvent. The solvent was applied to a rag or brush and used without gloves, creating both inhala- tion and dermal exposures. There was no local exhaust ventilation or other engineering controls pres- ent in the workspace. 1James Dahlgren Medical, Santa Monica, CA, USA 2Potomac, MD, USA Corresponding author: James Dahlgren, James Dahlgren Medical, 1158 26th Street, 118, Santa Monica, CA 90403, USA. Email: [email protected] Toxicology and Industrial Health 2014, Vol. 30(1) 73–81 © The Author(s) 2012 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/0748233712451764 tih.sagepub.com http://www.sagepub.co.uk/journalsPermissions.nav http://tih.sagepub.com Case presentation Case 1, a white male, worked at the facility from 1968 until 1994. In early 2003, he was diagnosed with pan-
  • 85. cytopenia. In December 2003 at the age of 72 years, a bone marrow biopsy showed AML with multilineage dysplasia. He had preexisting MDS. Cytogenetic analysis at this time revealed the presence of an abnormal hypodiploid clone characterized by loss of chromosomes X, 3, 5, 6, and 18, additional material of unknown origin on 4q, 10p, 12q, 13p, and 21p, an inverted duplication of 7p, a derivative chromo- some resulting from deletions of both the long and short arms of chromosome 16, and a marker chromo- some. In February 2004, a second cytogenetic analy- sis revealed the clonal expansion of an abnormal hypodiploid cell. The abnormal clone was the loss of chromosome 5, additional material of unknown ori- gin on the short arm of chromosome 6, and the long arm of X chromosome. Nine cells were normal male. These findings are consistent with a clinical diagnosis of MDS or AML. He completed six cycles chemother-
  • 86. apy with idarubicin and ara-C. In July 2004, he relapsed and died from leukemia and congestive heart failure. He smoked cigarettes until 1988, but total pack-years could not be determined. His work history was provided by a coworker with a similar job. Case 1 transferred the toluene solvent into one-half gallon containers with spring-loaded tops and provided fresh solvent to six work stations as often as once per shift. He spent about 50% of his day sorting and cleaning the belts, which involved using the toluene solvent on a rag to wipe incorrectly printed or dirty belts. He used no personal protective equipment. Case 2, a white female, worked at the facility from 1965 until 1995. She presented with thrombocytope- nia, anemia, and leukocytosis and was diagnosed with AML in November 2005 at the age of 58 years. Mole- cular cytogenetic studies were negative for abnormal fusion of clones of the PML gene on 15q to the RARA
  • 87. gene on 17q. Specifically, there was no evidence of the t(15;17)(q22;q11.2) translocation in this speci- men. Additional studies were also negative for the rearrangement of the mixed lineage leukemia region at 11 q23. The bone marrow and peripheral blood showed >20% blasts. The percentage of myeloid lines that had >50% dysplasia was not specified, and clas- sification using World Health Organization criteria was not possible. Case 2 was classified as AML-M4 under the French–American–British (FAB) Coopera- tive Group criteria due to having dysplastic mono- cytes. Chemotherapy with idarubicin and ara-C and eventually cytarabine was given inducing a remission. She relapsed May 2006 and died. She was a nonsmo- ker. She described her work activities at the plant shortly before her death. Similar to Case 1, she also worked in the prepack department. Her main task was printing and packing the rubber belts. She obtained containers of the toluene solvent from Case 1, who
  • 88. was the service man assigned to her workstation. She would dip brushes or rags into the solvent containers to clean the belts. When the belt printer malfunc- tioned, it had to be cleaned using large amounts of the solvent, a high exposure task. She rarely wore gloves, and the solvent made her fingertips raw, causing open sores on her hands. Case 3, a white male, worked at the facility between 1984 and 2005. He was noted to have leuko- cytosis and malaise in May 2003. He continued work- ing with a diagnosis of myeloproliferative disorder (MPD), subtype not otherwise specified. Some of his hematologists opined that he had MDS based on white blood cell count, which was >12,000, and <5% of monocytosis and blasts in the bone marrow. His treat- ment included hydroxyurea. His MPD/MDS trans- formed to AML with multilineage dysplasia in June 2005, at the age of 53 years. The only cytogenetic Table 1. Occupational exposure limits for benzene concentration
  • 89. in air. Agency Description Level (ppm) Reference OSHA Permissible exposure limit 8-hour TWA 1.0 OSHA, 1987 STEL 5.0 ACGIH Threshold limit value TWA 0.5 ACGIH, 2006 STEL 2.5 NIOSH Recommended exposure limit (10-hour TWA) 0.1 NIOSH, 1986, 2005 STEL 1.0 OSHA: Occupational Safety and Health Administration; ACGIH: American Conference of Governmental Industrial Hygienists; NIOSH: National Institute for Occupational Safety and Health; TWA: time weighted average; STEL: short time exposure limit; ppm: parts per million. 74 Toxicology and Industrial Health 30(1) studies performed on this patient showed a normal male karyotype. Fluorescence in situ hybridization cytogenetic studies, as well as a PCR study, were neg- ative for 9;22 translocation. No abnormal clones were detected at this band level. The patient started induc-
  • 90. tion chemotherapy with idarubicin and received a bone marrow transplant in December 2005. He died in July 2006 from his leukemia while in hospice care. This man had a 5-pack/year smoking history, which ended before 1985. Case 3 worked many years in departments that built the rubber belts. Coworkers reported that this process involved using the toluene solvent in a similar manner as Cases 1 and 2, that is, cleaning misprinted or dirty belts. A fellow employee described the use of this solvent two or three times a day from small squirt bottle. Case 3 was responsible for filling his bottle from a container by pumping by hand. Four other employees from this facility with prob- able exposure to the toluene-based solvent presented with AML diagnosis. Death certificates of these addi- tional cases were reviewed, but other information is limited (Table 2). These cases were revealed during
  • 91. the course of discovery for civil litigation involving the three index cases. Two of the four have confirmed history of building or packaging belts, similar to index cases. These additional cases are presented due to the similar time frame of employment. No follow-up has been performed to our knowledge, and there may be other former employees with parallel diagnosis and exposure histories. All but one AML case were employed at the facility beginning in the 1950s or 1960s. Evidence was also obtained for 14 additional workers from this plant with other lymphohemato- poietic cancers. Medical records, death certificates, and other information were collected from family and coworkers for the group of all 14 workers, which included reports of diagnoses of chronic lymphocytic leukemia (4 workers), non-Hodgkin’s lymphoma (8 workers), and multiple myeloma (2 workers). Only cases of AML confirmed by death records are
  • 92. reported herein. Discussion Data collected on a subset of past employees from this rubber belt plant indicate seven AML deaths between 1994 and 2006. Lancaster County, Nebraska eco- nomic census data indicate that the plastics and rubber manufacturing industries (North American Industry Classification System code 326) employed between 1000 and 2499 workers in 2002 (US Census Bureau, 2002). This range also includes 500 and 999 employ- ees from plastics manufacturing facilities, while the presented cases worked at the only facility in the county classified as rubber products manufacturing. At least seven deaths in a 12-year span at a facility of less than 2000 workers likely represent an elevation in AML mortality. The county population in 2000 was 250,291 (US Census Bureau, 2000). The US national age-adjusted mortality from AML in men and women
  • 93. of all races above the age of 50 years in 2005 is 8.57 per 100,000 population (NCI, 2011). It is notable that four cases expired between 2002 and 2006, two of which had worked in the same department. The Nebraska Cancer Registry reports 89 total leukemia deaths in the county during this period, and that AML accounted for approximately 27% of all leukemia cases in the state from 2003 to 2007 (Nebraska Cancer Registry, 2010). Using this percentage, the presented AML deaths from this facility would hypothetically represent 17% (4 of 24) of all AML mortality in the county between 2002 and 2006. Cigarette smoking may have contributed to an increased risk of AML from benzene exposure within tobacco smoke in Cases 1 and 3; however, each of Table 2. AML in employees at rubber belt and hose plant. Case no. Gender Diagnosis Year of birth
  • 94. Year of diagnosis Year of death Age at death Years of employment Employment length 1 M MDS and AML 1931 2003 2004 73 1968–1994 26 2 F AML 1947 2005 2006 59 1965–1995 30 3 M MPD and AML 1952 2005 2006 54 1984–2005 21 4 M MDS and AML 1927 – 1998 71 1950–1980 30 5 F MDS and AML 1937 – 2003 66 1960–1997 37 6 M AML 1930 1994 1994 63 1954–1989 35 7 F AML 1922 – 2001 79 – – AML: acute myeloid leukemia; MDS: myelodysplastic syndrome; MPD: myeloproliferative disorder; M: male; F: female. Peckham et al. 75 these cases stopped smoking over 15 years before their AML diagnoses. The cancer risk associated with cigarettes has been reported to diminish over time
  • 95. (Richardson et al., 2008). Smoking data was not available for the four auxiliary cases. Newly diag- nosed AML patients have a median age of 65 years (Deschler and Lubbert, 2006). Cases 2 and 3 were under the age of 60 years at time of death, while the average age of the seven AML deaths was 66.4 years. There is no indication of other leukemia risk factors in this group, such as exposure to radiation, formalde- hyde, or prior chemotherapy. We propose that decades of occupational exposure to benzene present in the toluene-based solvent used at the facility likely caused or contributed to the development of AML. Inference of benzene contamination in the toluene solvent is supported by the physicochemical proper- ties of toluene, reports of usage of toluene and other hydrocarbons leading to benzene air concentrations above occupational limits, reports of benzene- related disease from toluene exposure, and toluene
  • 96. material safety data sheet (MSDS) reporting up to 5% benzene as recent as 2008 (Table 3). The International Agency for Research on Cancer (IARC) classifies toluene as a group 3 carcinogen, indicating that the data are insufficient to implicate carcinogenicity to humans (IARC, 1989). Usage of organic solvents such as toluene in occupational settings often lead to overlapping exposures, as they contain multiple aromatic and aliphatic hydrocarbons as impurities. Reports from the 1940s describe toluene-exposed workers exhibiting typical benzene- related hematological effects (Greenburg et al., 1942; Wilson, 1943), which are now attributed to the presence of benzene as a contaminant (ATSDR, 2000). A recent study specifically investigated over- lapping exposures to organic solvents and concluded that benzene present in aromatic solvent mixtures was likely to be responsible for the observed elevations in
  • 97. leukemia and lymphoma (Cocco et al., 2010). As early as 1977, a significant increase in total lymphohematopoietic and leukemia deaths was seen in a group of rubber workers exposed only to benzene (Infante et al., 1977; Rinsky et al., 1981). Subsequent research has confirmed the ability of benzene to cause malignant and nonmalignant hematopoietic disorders and suggests that increased risk occurs at levels mark- edly lower than first reported (Hayes et al., 1997, 2001). In particular, Glass et al. (2003) found, in a case–control study of the Health Watch cohort, that the risk of leukemia was increased at all cumulative exposures above 2 parts per million (ppm)/years with no evidence of a threshold cumulative exposure below which there was no risk (Glass et al., 2003). Prior to reliable epidemiological data, benzene had already been deemed as a leukemogen and potent hematotoxin due to an ample collection of case report
  • 98. series (Aksoy et al., 1974; Vigliani and Forni, 1976). We have included available chromosomal studies in the three index AML cases. There is currently an interest in collecting this data to guide therapy and estimate prognostic differences. A chromosomal pat- tern or fingerprint that is unique for benzene has been suggested (Gillis et al., 2007); however, available data do not support this claim (Smith, 2008). Benzene as a contaminant of toluene and other petrochemicals American Society for Testing and Materials Interna- tional (ASTM) has published specifications for the properties of nitration and industrial grades of toluene (ASTM, 1984, 2002). The maximum boiling range establishes the specified purity of both the grades of toluene, and the temperature at which a toluene/benzene mixture starts to boil corresponds to the equilibrium molar concentration of benzene at that temperature. Toluene’s boiling point is 110.6�C. For the nitration
  • 99. grade toluene, the boiling range must be �1�C, and for the industrial grade toluene, the boiling range is Table 3. Benzene content of toluene in MSDS issued after 2000. Product Benzene content (ppm) by weight Benzene content (% by weight) Reference Commercial grade toluene 20,000 (up to 50,000) 2–5% Equistar Chemicals LLP, 2008a Nitration grade toluene 20,000 (up to 50,000) 2–5% Equistar Chemicals LLP, 2008b Nitration toluene Up to 10,000 Up to 1% ExxonMobil Chemical, 2002 Nitration toluene Up to 10,000 Up to 1% ExxonMobil Chemical, 2003 Commercial grade toluene Up to 25,000 Up to 2.5% Chevron Phillips Chemical Company, 2003 MSDS: material safety data sheet; ppm: parts per million. 76 Toxicology and Industrial Health 30(1) expanded to 2�C. Using a recirculation type vapor– liquid equilibrium apparatus at a temperature of 107.04�C, benzene comprised 8.1%, or 81,000 ppm, of the benzene/toluene mixture (Kesselman et al., 1968). Similar analysis reveal that toluene solvent meet-