1) Cancer screening aims to detect asymptomatic potentially curable disease earlier through screening tests to improve outcomes and reduce cancer mortality and morbidity in the screened population.
2) Randomized clinical trials have shown that screening for breast and colorectal cancers can reduce cancer mortality when screening finds cancer at an earlier stage.
3) Screening tests have limitations including false positives, overdiagnosis, costs, and psychological impacts of screening that must be considered.
1. Cancer Screening
Facts & Fiction
Dr. Shad Salim Akhtar
MBBS, MD, MRCP(UK), FRCP(Edin), FACP(USA), MAUICC Fellows
Consultant Medical Oncologist &
Medical Director
Prince Faisal Oncology Center &
King Fahd Specialist Hospital
Buraidah, Al-Qassim
2. Fight against cancer
Did you know?
Average years of life lost
Cardiac causes 11 years
Cancer 15 years
Curative treatment
Prevention
Early detection
3. CANCER UNDEFEATED
N Engl J Med1997;336:1569-74
In 1986, we concluded that “some 35
years of intense effort focused
largely on improving treatment must
be judged a qualified failure.” Now,
with 12 more years of data and
experience, we see little reason to
change that conclusion,…..
JOHN C. BAILAR III M.D., PH.D., HEATHER L. G ORNIK M.H.S.
4.
5.
6. Cancer screening-What is the
aim?
Detect asymptomatic potentially curable
disease
Earlier than otherwise would occur
Earlier diagnosis should result in improved
outcome
Reduce morbidity and mortality from a
particular cancer in screened population
Reality xelpmoc (COMPLEX)
7. Suitable cancer for screening
Substantial morbidity & mortality
Major disease burden
High prevalence in a detectable
preclinical phase
Sojourn time
Early detection should lead to improved
and effective therapy
A good screening testgood screening test should be
available
8. Ideal Screening test
Should separate the two populations
Apparently well with the disease
Those who do not have the disease
Acceptable
Inexpensive
High specificity and sensitivity
Least inconvenience and discomfort
Feasible for use in large numbers
Kramer BS. NCI 1995
9. Relative risk of developing
Breast Cancer: Gail Model
Age at first live
birth
No of affected relative
0 1 >=2
<=20 1 2.6 6.8
20-24 1.2 2.7 5.8
25-29 or None 1.5 2.8 4.2
>=30 1.9 2.8 4.2
Gail MH et al:J Natl Cancer Inst 1989; 81:1879-86
12. Evans DGR, Howells A: Breast Ca Res 2007; 9:213
Relative risk of developing
Breast Cancer
13. Evaluation of a screening test
Sensitivity
Positive if the disease is present
High sensitivity
Low false negative rate
Specificity
Negative if the disease is absent
High specificity
Low false positive rate
14. Is there a tiger?
NO NO NO NO
SENSITIVITY
SPECIFICITY
YES YES YES YES
15. Screening test evaluation
Sensitivity TP/TP+FNX100 {a/a+cX100}
Specificity TN/TN+FPX100 {d/d+bX100}
PPV TP/TP+FP X100
NPV TN/TN+FN X100
Accuracy TP+TN/TP+FP+TN+FN X100
Test result Cancer present Cancer absent
Positive a {True Positive} b {False Positive}
Negative c {False Negative} d {True Negative}
16. Biases in screening
Volunteer bias
Different group from general population
Motivated
Different socioeconomic status
Relatives of cancer patients
High risk
Lead time bias
Erroneous increase in survival
Screening symptoms death
Survival in screened population
Survival in unscreened population
Kramer BS: Urol Onc 2003;22:344-47
17. Biases in screening
Length bias
Overrepresentation of tumors with long
preclinical periods hence less rapidly
fatal
Over diagnosis
Diagnose a cancer which would
otherwise never become apparent
18. Evaluation of cancer screening
Descriptive studies
Not a good source
Randomized clinical trials
Mortality due to cancer
Screened population vs
Unscreened population
Alternatives to RCT???
Improvement in quality of life
measures in screened population
Meissner HI et al: Cancer 2004;101(5s):1251-9
19. Screening- Positive effects
Improved prognosis
Less radical treatment
Reassurance for those with negative
test
Resource saving if treatment costs
reduced
Optimally reduced cancer related
mortality
20. Screening- Negative effects
Economic consequences
Psychological consequences
Over diagnosis
Carcinogenic effect of screening
21. Screening- Cost effectiveness
Cost of diagnostic evaluation
Therapy of screened population
Cost benefit analysis
Life or the benefit ascribed a value
Cost effective analysis
Cost to
Detect one cancer
Prevent one death
Add a year or a quality adjusted year of life
Anderson MR et al:Cancer 2004;101(5s):1229-38
22. Screening- Cost effective analysis
Marginal cost per year of life saved
MCYLS =Marginal cost/marginal effectiveness
Marginal cost of screening
Total cost incurred in the program minus the
cost of case detection and management
without screening
Marginal effectiveness
Years of life expected and gained in screened
group minus years of life expected in the
group not screened
40,000 US$/MCYLS appropriate
23. Screening- Recommended sites
Females
Breast
Endometrium
Cervix
Males
Prostate
Both sexes
Colorectal
Cancer related check up
American Cancer Society 2004
24. Breast cancer- Burden of
disease-US
Invasive ductal ca > 200,000 women
per year
DCIS >50,000
>40,000 women die per year
Second leading cause of cancer
related mortality
Jemal A et al: CA Cancer J Clin 2004;54:8-29
25. Chances of developing of and death
from breast ca within the next 10 yrs
Fletcher SW et al: N Engl J Med 2003;348:1672-80
26. 0
5
10
15
20
25
30
35
40
45
50
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75
Age groups
Average age-specific incidence rate
for breast cancer-Saudi Arabia-NCR
94-96
29. Screening tools- Breast cancer
BSE
CBE
Mammography
Ultrasound
Full Field Digital Mammography
CAD Computer aided detection
MRI
Smith RA et al:CA Cancer J Clin 2003;54:141-69
37. Malmo trial
Canada a
Canada b
All
0.98 (0.93-1.04)
1.01 (0.88-1.16)
1.06 (0.96-1.18)
1.00 (0.96-1.05)
Relative risk (95% CI)
All cause
mortality
Medium quality
screening trials
Olsen O et al: The Lancet 2001;358:1340
mastectomies
tumorectemies
38. Cumulative survival of breast cancer patients aged 40–69 years at diagnosis
Tabar L et al: The Lancet 2003; 361:1405
39. Mammography other flaws
Age 40-49
Controversial
Breast density?
Shorter sojourn time of tumor
(1.7 yrs vs >3.3 yrs in >50 yrs old)
Risks
Radiation
10 yrs annual mammogram in 100,000
women one additional cancer
40. 11% reported
abnormal Cancer 0.3%
False positive 10.7%
Rate of false +ive α No of mammograms
50% after 10 mammograms
And 19% need open biopsy
Frequent in younger pts
Mammography false positive
41. Number of women 1000
Fletcher SW et al: N Engl J Med 2003;348:1672-80
42. DCIS-Guess what?
Incidence per 100,000
1973 2.4
1998 30.7
Initial stage of invasive cancer??
Incidence of invasive cancer should have
decreased…but it is not happening
DCIS is not an uncommon finding at
autopsy of Br ca unrelated death
? Reservoir ?…over diagnosis of a
neoplasm which would not become
manifest !!!!
Fletcher SW et al: N Engl J Med 2003;348:1672-80
43. Beyond mammography
Breast US
Dense breasts
More sensitive less specific
Additional to mammography
Full field digital mammography
Lower overall sensitivity
Lower recall rate
? Incremental cancers detected
CAD? Second film reader
MRI more sensitive less specific
Irwig L et al: Br J Cancer 2004; 90:2118-22
44. Beyond mammography-An
internet advertisement
Breast MRI screening “is proven to be three times better
at detecting early breast cancer than x-ray
mammography.”
“Mammograms miss 2 out of 3 breast cancers.”
Breast MRI screening “is so accurate it can find nearly all
breast cancer.”
Breast MRI screening provides “the absolute best early
detection of breast cancer.”
“Superior precision…differentiates between benign breast
changes and cancer.”
Because breast MRI screening “is much more accurate
than regular x-ray mammography, women will not have
to undergo as many unnecessary biopsies for benign
changes of the breast.”
Breast MRI screening “is so powerful that no woman
should suffer or die from this terrible disease.”
Lee H Carol et al: J Am Coll of Radiology 2004; 1:176-82
45. The Use of Magnetic Resonance
Imaging in Breast Cancer
Screening
Carol H. Lee, MD, Jeffrey C. Weinreb, MD
““However, at present, the use ofHowever, at present, the use of
MRI for routine screening forMRI for routine screening for
breast cancer is not justified.”breast cancer is not justified.”
J Am Coll Radiol March 2004;1:176-182.
Department of Diagnostic Radiology, Yale University School of Medicine,
New Haven, Connecticut, USA
46. Robson ME et al: JAMA 2004; 292:1368
Hereditary breast cancer-MRI vs other
modalities of breast imaging
Source No of BRCA pts
Sensitivity%
Specificity%
PPV
47. Wait a minute. Look at the
lesions we are picking?
Martin J Yaffe The Lancet Vol 364 September 25, 2004
We need to divide women into different groups and
MRI may be the investigation for high risk women?
Occult on
mammography
cancer picked up
by MRI,
enhancement due
to angiogenesis
from invasive
ductal ca
48. Colorectal cancer
Third commonest cancer and second
leading cause of cancer death (USA)
Grows slowly over several years
Almost all develop in a polyp
All polyps do not become cancerous
Higher incidence of malignant
transformation
Larger polyp (>10 mm)
Sessile polyps
Adenomatous vs hyperplastic
Levin B et al: CA Cancer J Clin 2003;53:44-55
49. Colorectal carcinoma ACS
guidelines-Men & Women >50yrs
Fecal occult blood annual or
Flexible sigmoidoscopy 5 yrly
Or both –preferred
Double contrast barium
enema 5 yrly
Colonoscopy every 10 yrs
Smith RA et al: CA Cancer J Clin 2004;54:41-52
50. Status of colorectal
screening?
Early stage disease in 37% only at
diagnosis
Of the eligible population only 40%
get screened
Why?
Uncomfortable procedures
Preparation for the procedure worse
Physicians do not advice???
Can it be improved?
Levin B et al: CA Cancer J Clin 2003;53:44-55
51. FOBT present status
Guaiac test most commonly used
False positive/negative results
Food items: meat, raw fruit, vegetables
Drugs: vitamin c, aspirin
Need to be repeated
Adenomas may bleed infrequently
Advantages
Privacy
Noninvasive
Home collection
Levin B et al:CA Cancer J Clin 2003;53:44-55
52. FOBT pilot study of
screening for CRC UK
Positive test result=1.9%
Cancer detection rate
1.6/1000 screened
16.6% Polyp cancers
48% Dukes A
54. FOBT Efficacy
US UK Denmark
No of participants 46551 150251 61933
Follow up years 18 7.8 13
Rel Risk Mortality ann 0.67
RR Mortality biennial 0.79 0.85 0.82
Risk Reduction for
CRC death (biennial)
4.6
(2.9)
0.8 1.8
Walsh JM et al: JAMA 2003; 289:1288-96
55. Use of new technologies for
colorectal cancer screening?
Immunochemical Fecal Occult
Blood Tests
Detection of altered human DNA
in stool samples
CT colonography (virtual
colonoscopy)
Capsule video endoscopy
Reviewed by ACS Colorectal Advisory Group 2003
56. Immunochemical FOBT
Monoclonal &/or polyclonal
antibodies
Detect intact globulin protein portion of
human Hb
Bind to hemoglobin in stools
positive test
No reaction with non human Hb or
other substances containing peroxidase
activity
J Allison et al: N Engl J Med 1996;334:155-159
57. InSureTM
Test
Simple, quantifiable result
Tested in 240 high risk people
Two samples per person
Sensitivity
For cancer 87%
For adenomas 47.4% (>10mm)
Specificity (in normal population)
97.9%
Results confirmed by colonoscopy
Increased compliance?
No preparation needed
Greenberg PD et al:Am J Gastrenterol 2000;95:1331-38
58. DNA mutations in stool
Adenoma Carcinoma
Stool sample
Extract colorectal epithelium DNA
Amplify
Detect mutations if any
Noninvasive
No preparation required
Whole colon screened
DNA Mutations
Walsh JM et al: JAMA 2003; 289:1288-96
59. APC gene mutations in CRC
APC gene mutations initiate CR neoplasm
Stool samples
46 neoplasia (28 CRC, 18 Adenoma) vs 28 controls
DNA purified
Amplification of the region between 1210 and
1581 codons
Mutations identified in
9/18 adenomas
17/28 CRC
0/28 controls
Traverso G et al:N Engl J Med 2002; 346:311-20
61. Total number of Mutations found 27
Deletions
Insertions
Base
substitutions
Spectrum of APC mutations in
fecal DNA
Traverso G et al:N Engl J Med 2002; 346:311-20
64. CRC screening-CT colonography
Obstacles to the procedure
Bowel preparation
Air insufflation
Breath hold
Comparable to colonoscopy
Sensitivity
10 mm polyps ~90%
5 mm polyps ~50%
Frank cancers ~100%
Walsh JM et al: JAMA 2003; 289:1288-96
65. CT colonography vs Optical
colonoscopy
Virtual colonoscopy findings kept
blind from colonoscopist during initial
procedure
Size ≥6mm ≥7mm ≥8mm ≥9mm ≥10mm
Virtual
colonpy
180/120
85.7%
119/133
89.5%
88/95
92.6%
56/61
91.8%
47/51
92.2%
Optical
colonpy
189/210
90.0%
120/133
90.2%
85/95
89.5%
55/61
90.2%
45/51
88.2%
Pickhardt PJ et al: N Engl J Med 2003;349:2191-200
66. Believe it or not?
Pickhardt PJ et al: N Engl J Med 2003;349:2191-200
67. Virtual colonoscopy
Accurate method to detect colorectal
neoplasia in asymptomatic individuals
May be less invasive than optical
colonoscopy
Second procedure to deal with positive
result
Excision
Biopsy
Cost effectiveness?
Morrin MM et al:N Engl J Med 2003;349:2261-4
68. Capsule video endoscopy
Camera in Capsule
2 picture/second
Images for up to 8 hours
Works in conjunction with
Given diagnostic system
Portable data recorder
Workstation producing video images
FDA approved since Aug 2001
Cannot picture colon yet
Levin B et al: CA Cancer J Clin 2003;53:44-55
If no body smked 90% of the lung cancers would not develop. Once occurred only 15% of lung cancer pts are alive at 5 yrs hence an ounce of prevention is better than a pound of cure. For many cancers the causative factor cannot be changed like age, race, environment and habits (particularly the western life style which they are so keen to protect). Colonic cancer is an example if detected early 90% will surv at least 5 yrs and only 9% will survive if spread. An ounce of screening is better than a pound of cure in this situation
From the Department of Health Studies, University of Chicago, 5841 S. Maryland Ave., MC 2007, Chicago, IL 60637-1470, where reprint requests should be addressed to Dr. Bailar. They noticed some decline in the mortality due to cancer especially in children and Afro Americans, however, 1994 onwards decline in Am whites was also noted mainly due to decline in smokin related cancer and inprovement in childhood cancer
If no body smked 90% of the lung cancers would not develop. Once occurred only 15% of lung cancer pts are alive at 5 yrs hence an ounce of prevention is better than a pound of cure. For many cancers the causative factor cannot be changed like age, race, environment and habits (particularly the western life style which they are so keen to protect). Colonic cancer is an example if detected early 90% will surv at least 5 yrs and only 9% will survive if spread. An ounce of screening is better than a pound of cure in this situation
If no body smked 90% of the lung cancers would not develop. Once occurred only 15% of lung cancer pts are alive at 5 yrs hence an ounce of prevention is better than a pound of cure. For many cancers the causative factor cannot be changed like age, race, environment and habits (particularly the western life style which they are so keen to protect). Colonic cancer is an example if detected early 90% will surv at least 5 yrs and only 9% will survive if spread. An ounce of screening is better than a pound of cure in this situation
Table 1. Chances of the Development of and Death from Breast Cancer within the Next 10 Years.*
BSE and CBE are not confirmed to improve cancer related mortality though some cancers are detected on CBE as well as BSE. These should be encouraged as a part of mammographic screening program.
From cancer medicine page 428
Published results of mammography trials; risk reduction of breast cancer related mortality
The argument of olsen et al about the mammographic screening trials
Swedish screening data reanalysed after olsen article.
Figure 1. Chances of False Positive Mammograms, Need for Biopsies, and Development of Breast Cancer among 1000 Women Who Undergo Annual Mammography for 10 Years.
All numbers are rounded. The numbers for 10-year rates of false positive mammograms and breast biopsies come from a single study in which, overall, the rate of false positive mammograms was 6.5 percent, 27 and the rate
may be different in other settings. Data on the development of breast cancer are broken down further in Figure 2.
Dept of medical imaging and medical biophysics Univ of Toronto Ontario Canada
These antibodies react with the globulin protion which does not survive passage through the Upper GI hence selective for lower GI bleeding.
Another trial conducted looked at the individuals made to drink autologous blood, the test was negative
Genomic alterations drive adenomas to carcinoma. These have been identified and well characterized.
Figure 4. Spectrum of APC Mutations Identified between Codons 1210 and 1581 in Fecal DNA. Twenty-seven different mutations were identified among the 26 patients with positive digital-protein-truncation tests. Mutations occurred in the form of deletions (red triangles), insertions (green squares), and base substitutions (yellow circles). The numbers within each symbol refer to the patient numbers shown in Table 1.
Schematic map of colon generated by CT a scout image and the red dot indicates the site of the polyp in caecum, a three dimensional view of the polyp.