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Cancer Biomarkers Research
HPV and Cancer
HPV Vaccine
James Lyons-Weiler
Institute for Pure and Applied Knowledge
October, 2018
Types of
Biomarkers
Genetic
Genomic
Proteomic
Metabolomic
Epigenetic
Biological Specimen
Serum Urine Breath Saliva
Blood Fecal
Circulating
cells
Uses of Cancer Biomarkers
Diagnosis/Molecular
Staging
Therapy outcome
prediction
Personalized
Medicine
Syn NL Expert Opin Drug Metab Toxicol. 2016 Aug;12(8):911-22
Perez-Garcia et al. 2017. Cancer Treatment Reviews 53:79-97.
Perez-Garcia et al. 2017. Cancer Treatment Reviews 53:79-97.
Basket vs Umbrella Biomarkers
Syn NL Expert Opin Drug Metab Toxicol. 2016 Aug;12(8):911-22
BATTLE
I-SPY 2
Lung-MAP
FOCUS2
NCI Match
NCI MPACT
https://slideplayer.com/slide/9568857/
https://slideplayer.com/slide/9568857/
Bravo et al. 2010 Trends in Microbiology 18:432-438
HPV and
Cancer
โ€ข High Risk HPVs (e.g., 16, 18, 26, 31, 33, 35, 39,
45, 51, 52, 53, 56, 58, 59, 66, 68, 69, 73, and 82)
โ€ข Low-risk HPVs (6, 11, 40, 42, 43, 44, 54, 61, and
70)
โ€ข Type Association with Pathologies
โ€ข Cervical cancer โ€“ 100%
โ€ข Anal cancer
โ€ข Throat cancer
โ€ข Penile cancer
โ€ข Genital warts โ€“ HPV 2-like
โ€ข Plantar warts โ€“ HPV 2-like
170 types
de Villiers, 2004. Classification of papillomaviruses. Virology
324:17-27
https://talk.ictvonline.org/ictv-reports/ictv_online_report/dsdna-
viruses/w/papillomaviridae
https://talk.ictvonline.org/ictv-reports/ictv_online_report/dsdna-
viruses/w/papillomaviridae
Molecular Virology of HPV
HPVs are double-stranded DNA viruses that replicate within stratified
squamous epithelia that need micro-abrasions or areas of transitional
epithelium, such as in the cervix, anus, and tonsils, to be able to infect
epithelial cells [20]. After infection, the virus makes use of the cellsโ€™
normal DNA replication machinery to produce further viral genetic
fragments at the supra-basal layer of the epithelium [20,21]. Like all
papillomaviruses, HPVs establish productive infections only in
keratinocytes of the skin or mucous membranes.
-Crosignani et al. 2013. Towards the eradication of HPV infection
through universal specific vaccination
Partial
Knowledge
Parkin DM 2006. The global health burden of infection-associated cancers in the
year 2002. Int. J. Cancer. 118 (12): 3030โ€“44.
Multiple and Persistent Infections
Persistent hr HPV infection
is widely associated with
the development of
cervical cancer (implies
immune system weakness)
Vaccination of individuals
with multiple infections
appear to lead to increased
risk of CIN1 and CIN2
lesions post-vaccination
HPV Vaccine Reduces Vaccine Targeted Types
โ€ข Jeannot et al.. 2018:
(Prevalence of Vaccine Type
Infections in Vaccinated and
Non-Vaccinated Young Women:
HPV-IMPACT, a Self-Sampling
Study)
HPV Vaccine Development History
โ€ข HPV-4
โ€ข HPV-9
โ€ข Cervarix
Merckโ€™s submissions are all reviewed in Holland et al. (2018)
SALINE AAHS
HPV
VACCINE
INERT ADJUVANT
ANTIGEN
+
ADJUVANT
VALID
PLACEBO
INVALID
PLACEBO
EXPOSURE
(TREATMENT)
Key Findings
โ€ข The one RCT on market demographics (12-18 year olds) used a
different formulation than the vaccine brought to market (1/2 AAHS)
โ€ข HPV studies used AAHS vs. Vaccine. AAHS is an invalid placebo
(saline alone should have been used). Equal levels of morbidity and
mortality were found.
โ€ข HPV-9 was compared to HPV-4. Equal levels of morbidity and
mortality were found.
โ€ข Girls in the control arm were vaccinated at the end of the trials, thus
doubling their exposure to AAHS
AAHS HPV4 HPV9
ADJUVANT
ANTIGEN
+
ADJUVANT
ANTIGEN
+
ADJUVANT
INVALID
PLACEBO
INVALID
PLACEBO
EXPOSURE
(TREATMENT)
Adapted from Holland et al.(2018)
โ€ข HPV vaccines have never been shown to prevent cancer of any kind.
โ€ข Japan no longer recommends HPV vaccines following injuries
โ€ข The clinical trials never investigated the vaccineโ€™s possible effects on human fertility or potential to cause
cancer.
โ€ข The clinical trials show that the vaccines contribute to HPV lesions, and potentially cancer, in some
women. Despite this, neither the manufacturers nor government agencies recommend prescreening to
eliminate those with clear risk factors.
โ€ข Although the vaccine is targeted for 11-12-year-old children, and legal for children as young as 9, only a
small fraction of clinical trial subjects was in this age range.
โ€ข Lawsuits against HPV vaccine manufacturers and government health agencies are progressing around the
world, including the US, India, Japan, Colombia, Spain, and France.
โ€ข Although the US government proclaims HPV vaccines safe and effective, it has paid out millions of dollars to
compensate families for death, brain injury, multiple sclerosis, ulcerative colitis, and other severe,
debilitating conditions.
Flaws in the clinical trials for
Gardasil made it harder to
properly assess safety
Type Replacement
Aside from potential issues related to duration of protection, type
replacement is the main biological phenomenon that may limit the
success of vaccine efforts aimed at reducing morbidity and mortality
associated with cervical HPV infection โ€“ Tota et al. 2016
Models and Simulations
The numerical simulations of our model indicate that the application of
the vaccine declines infection by target genotypes as expected.
However, our results on dynamics of nonvaccine HPV types infection
show the possible presence of a biological mechanism: vaccine-induced
pathogenic strain replacement, for example, an increase in the
prevalence of HPV genotypes not targeted by the vaccines due to an
ecological niche created by a reduction in the prevalence of HPV
genotypes targeted by the vaccines - Peralta, 2014
โ€œIn this context, our mathematical model correctly predicts the
emergence of viral genotypes nontarget of the vaccine similar to the
aforementioned phenomenon.โ€
Models and Simulations
โ€ข โ€œWe โ€ฆ find that the removal of HPV type 16, type 18, and types 6 and
11 would increase the prevalence of nontargeted types by 50%, 29%,
and 183%, respectively.โ€ Durham et al. 2012. Reevaluation of
epidemiological data demonstrates that it is consistent with cross-
immunity among human papillomavirus types.
Type Replacement Found
โ€ข Fischer, S. 2016. Shift in prevalence of HPV types in cervical cytology
specimens in the era of HPV vaccination. Oncol Lett 12:601-610.
โ€ข Guo et al., 2015. Comparison of HPV prevalence between HPV-vaccinated
and non-vaccinated young adult women (20-26 years)American Association
for Cancer Research Meeting, Apr 18-22; Philadelphia, PA. Philadelphia
(PA): AACR; 2015. Abstract nr 844
โ€ข Mollers M et al., 2014. Population- and type-specific clustering of multiple
HPV types across diverse risk populations in the Netherlands. Am J
Epidemiol. 179(10):1236-46. doi: 10.1093/aje/kwu038.
โ€ข Giambi C et al., 2013. A cross-sectional study to estimate high-risk human
papillomavirus prevalence and type distribution in Italian women aged 18-
26 years. BMC Infect Dis. 13:74. doi: 10.1186/1471-2334-13-74.
Type Replacement Detected, but Dismissed
โ€œOur main analysis showed increases in other nonvaccine HPV types
(HPV39, HPV52, HPV53, HPV58, and HPV73), but these increases were
inconsistent for the 2 age groups examined and the vaccines used.โ€
Mesher et al., 2016. Assessment of the population-level impact of a
high coverage HPV immunisation programme in young females
Type Replacement Detected, But Not Significant
Type Replacement
Detected, but Denied
โ€ข Markowitz LE et al.,
2016 Prevalence of HPV
After Introduction of the
Vaccination Program in the
United States. Pediatrics.
2016 Feb 22. pii: peds.2015-
1968.
Type Replacement
Detected, but Denied
โ€ข Markowitz LE et al.,
2016 Prevalence of HPV
After Introduction of the
Vaccination Program in the
United States. Pediatrics.
2016 Feb 22. pii: peds.2015-
1968.
Studies that Do Not Find
Type Replacement
Are Two Populations Being Vaccinated?
Three? Or One? Correlation <> Causation
For women recruited from a health department clinic, older age (OR = 1.4,
95% CI: 1.2-1.6) and consistent condom use with main partner in the past 3
months (OR = 11.6, 95% CI: 3.4-40) were associated with being
unvaccinated. For women recruited from a teen health center African
American race (OR = 0.2, 95% CI: 0.07-0.7) and having Medicaid health
insurance (OR = 0.3, 95% CI: 0.1-0.7) were inversely associated with being
unvaccinated. The observed increase in non-vaccine-type HPV prevalence in
unvaccinated women may be explained by differences between unvaccinated
and vaccinated women.
Ding et al. Differences between vaccinated and unvaccinated women explain increase in non-vaccine-type
human papillomavirus in unvaccinated women after vaccine introduction Vaccine 35:7217-7221.
โ€œCorrecting Forโ€
and โ€œAdjusting Forโ€
Risk Factors,
Exposures and
Outcomes
โ€ข A study focused on all-cause mortality
and smoking tallies all deaths in
smokers and non-smokers.
โ€ข The authors find an association.
โ€ข The authors decide to โ€œcorrect forโ€ a
common medical condition and the
association is no longer significant.
โ€ข They conclude that it is unlikely that
smoking contributes to mortality in
humans.
โ€ข The common medical condition?
Cancer.
Problematic
Across-Group
Adjustments
โ€ข # of office visits
โ€ข smoking
โ€ข # of sexual partners
โ€ข income
โ€ข age of sexual debut
โ€ข use of hormonal birth control
โ€ข presence of other STD (e.g.,
Chlamydia trachomatis)
โ€ข If these are different at baseline, those
differences may be representative
Simulated Example (for this course)
y = 0.8922x + 0.0968
Rยฒ = 0.7156
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 0.1 0.2 0.3 0.4 0.5 0.6
Time 0
(Pre-Vaccination)
Time 1
(After
Vaccination)
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
y = 0.8006x + 0.0609
Rยฒ = 0.6351
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
Sexual Activity
Sexual Activity
Time 1
(After
Vaccination)
y = -0.7399x + 1.2742
Rยฒ = 0.0334
0
0.5
1
1.5
2
2.5
3
3.5
4
0 0.1 0.2 0.3 0.4 0.5 0.6
T1/SA
Time 0
(Pre-Vaccination)
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
T1/SA
Examples from HPV Vaccine Studies
โ€ข Example #1. Carozzi et al., 2018: No Type Replacement Found after
โ€œAssociation adjusted for the following variables: marital status, smoking
status, number of sexual partners in the past 6 months, number of lifetime
sexual partners, and sexually transmitted diseasesโ€
โ€ข Example #2. Gray et al., 2018. โ€œThe PR and OR estimates were adjusted for
participant mobility, for community-level prevalence of regular smoking
and for individual level C. trachomatis status, reflecting the risk-taking
behaviorโ€
โ€ข Example #3. Mesher et al. 2016. Continuing reductions in HPV 16/18 in a
population with high coverage of bivalent HPV vaccination in England: an
ongoing cross-sectional study Adjusted ORs were calculated adjusting for
age, testing venue type and chlamydia positivity (as a marker for sexual
behaviour).
Performing Multiple Comparisons When One
Will Do
A ztest of 2 proportions was used to assess differences in HPV typeโ€“specific
prevalence among women who received all 3 doses of the vaccine and those
who received none. The Bonferroni correction (significance level ฮฑ =
0.05/22) was used because of the multiple statistical testing conducted for
the 22 nonvaccine HPV types detected by the assay. Significance was
assessed at ฮฑ = 0.05 for HPV types 16 and 18. Association between the
number of doses of vaccine received and HPV outcome was measured by
using logistic regression adjusted for deprivation score, birth cohort year,
and age at vaccination.
Cameron et al. Human Papillomavirus Prevalence and Herd Immunity after
Introduction of Vaccination Program, Scotland, 2009โ€“2013
Soโ€ฆ Vaccinated and Unvaccinated People
Donโ€™t Have Sex?
โ€œOur findings, revealing similar or higher incidence of nonprotected
HPV types in the control arm compared with the HPV arm across all
our analyses, provide strong evidence that type replacement is unlikely
to occur among vaccinated individualsโ€
-Tota et al. 2016 Evaluation of Type Replacement Following HPV16/18
Vaccination: Pooled Analysis of Two Randomized
Trials
Tota et al. did not study type replacement
โ€œCompared rates of nonvaccine/nonprotected incident HPV infections
across arms of these two trials.โ€
Population
Vaccinated
Unvaccinated
Vaccinated
Unvaccinated ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
Tota et al. did not study type replacement
โ€œCompared rates of nonvaccine/nonprotected incident HPV infections
across arms of these two trials.โ€
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
Population
Population
Vaccinated
Unvaccinated
Vaccinated
Unvaccinated
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
Within-Arm Comparisons of Type Profiles
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›Population
Vaccinated
Unvaccinated
Vaccinated
Unvaccinated
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘› ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
Niche Competition is Not Necessary for Type
Replacement
โ€œCompetition during natural infection between the existing vaccine targeted and nontargeted HPV
types is probably a requirement for type replacement to occur (5) Nonetheless, vaccination against
only a proportion of HPV types may introduce a competitive advantage for some nonvaccine types
that could lead to type replacementโ€ โ€“ Tota et al., 2016
Pons-Salort et al. 2013. Interestingly, the hypothesis that coinfections clear simultaneously always
leads to genotype replacement, even when infections with vaccine types favor the acquisition of
infections with nonvaccine types
Murall et al. 2013: Our model predicts that independence and facilitation are not necessary for the
coexistence of types inside hosts, especially given the patchy nature of HPV infection. In fact,
independence and facilitation inadequately represented co-infected patients. We found that some
form of competition is likely in natural co-infections. Hence, non-vaccine-targeted types that are not
cross-reactive with the vaccine could spread to more patches and can increase their viral load in
vaccinated hosts
Models Predict Emergence
โ€ข Peralta et al 2014: if the effectiveness of cross-protective immunity is
not larger than the effectiveness of the vaccine, then the high-risk
nonvaccine genotypes emerge
Biased Meta-Analysis
โ€ข Mesher et al. (2016) [Population-Level Effects of Human
Papillomavirus Vaccination Programs on Infections with Nonvaccine
Genotypes EID Journal Volume 22, Number 10โ€”October 2016)
Left out Guo, Mollers and Giambi studies
Detection
Interference
Among HPV
Types
HPV16 alone did not affect detection of other
high-risk genotypes; however when HPV16 and
an additional genotype were present, detection
of HPV31, 33, 51 or 59 was impeded, indicating
potential for misrepresentation of population-
based prevalence of these genotypes and false
evidence for type replacement following
vaccination -
Cornall et al. In vitro assessment of the effect of
vaccine-targeted human papillomavirus (HPV)
depletion on detection of non-vaccine HPV types:
implications for post-vaccine surveillance studies
From Gray et al: It is possible that following HPV
vaccination the increased prevalence of non-
vaccine HPV types are not caused by type
replacement but rather by unmasking
Hong et al., 2018 Comparison of the clinical
performance of OmniPlex-HPV and GeneFinder
HPV for the detection and genotyping of human
papillomaviruses in cervical specimens
Compared Omniplex-HPV and GeneFinder HPV (100% vs. 96%
sensitivity)
Premature Ovarian Failure Case Reports
alternatively known as โ€œprimary or premature ovarian insufficiency (POI), or diminished ovarian reserve
(DOR)โ€
Little DT, and Ward HR. Adolescent premature ovarian insufficiency following human papillomavirus
vaccination: a case series seen in general practice. J Inv Med High Imp Case Rep. 2014; doi:
10.1177/2324709614556129, pp 1-12. (N=3)
Colafrancesco S, Perricone C, Tomljenovic L, Shoenfeld Y. Human papilloma virus vaccine and primary
ovarian failure: another facet of the autoimmune/inflammatory syndrome induced by adjuvants. Am J
Reprod Immunol. 2013; 70:309-316. (N=3)
Hamiel, Orit (Israel) 15 total cases, some 13 cases occurred within the last five years of the study
indicating a cluster
Evidence Summary
โ€œSeveral years ago, cases of POS after anti-HPV vaccination were
recorded. The patients developed secondary amenorrhea following HPV
vaccinations, which did not resolve upon treatment with hormone
replacement therapies. Serological evaluations showed low levels of E2
and increased FSH and LH and specific auto-antibodieswere detected
(antiovarian and antithyroid), suggesting that the HPV vaccine
triggered an autoimmune response.โ€
Jankowska, K. 2017. Premature ovarian failure
HPV vaccine inventor Ian Frazer
"[C]ervical cancer screening if used and promoted
effectively would be almost entirely able to prevent"
cervical cancer deaths in countries like the US and
Australia, without HPV vaccines.
American College of Pediatricians โ€“ January
2016
โ€ข New Concerns about the Human Papillomavirus Vaccine
http://www.acpeds.org/the-college-speaks/position-
statements/health-issues/new-concerns-about-the-human-
papillomavirus-vaccine

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Cancer Biomarkers Research, HPV and Cancer, HPV Vaccine

  • 1. Cancer Biomarkers Research HPV and Cancer HPV Vaccine James Lyons-Weiler Institute for Pure and Applied Knowledge October, 2018
  • 2.
  • 4. Biological Specimen Serum Urine Breath Saliva Blood Fecal Circulating cells
  • 5. Uses of Cancer Biomarkers Diagnosis/Molecular Staging Therapy outcome prediction Personalized Medicine
  • 6. Syn NL Expert Opin Drug Metab Toxicol. 2016 Aug;12(8):911-22
  • 7. Perez-Garcia et al. 2017. Cancer Treatment Reviews 53:79-97.
  • 8. Perez-Garcia et al. 2017. Cancer Treatment Reviews 53:79-97.
  • 9. Basket vs Umbrella Biomarkers Syn NL Expert Opin Drug Metab Toxicol. 2016 Aug;12(8):911-22 BATTLE I-SPY 2 Lung-MAP FOCUS2 NCI Match NCI MPACT
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Bravo et al. 2010 Trends in Microbiology 18:432-438
  • 18. HPV and Cancer โ€ข High Risk HPVs (e.g., 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 69, 73, and 82) โ€ข Low-risk HPVs (6, 11, 40, 42, 43, 44, 54, 61, and 70) โ€ข Type Association with Pathologies โ€ข Cervical cancer โ€“ 100% โ€ข Anal cancer โ€ข Throat cancer โ€ข Penile cancer โ€ข Genital warts โ€“ HPV 2-like โ€ข Plantar warts โ€“ HPV 2-like
  • 19. 170 types de Villiers, 2004. Classification of papillomaviruses. Virology 324:17-27
  • 22. Molecular Virology of HPV HPVs are double-stranded DNA viruses that replicate within stratified squamous epithelia that need micro-abrasions or areas of transitional epithelium, such as in the cervix, anus, and tonsils, to be able to infect epithelial cells [20]. After infection, the virus makes use of the cellsโ€™ normal DNA replication machinery to produce further viral genetic fragments at the supra-basal layer of the epithelium [20,21]. Like all papillomaviruses, HPVs establish productive infections only in keratinocytes of the skin or mucous membranes. -Crosignani et al. 2013. Towards the eradication of HPV infection through universal specific vaccination
  • 23.
  • 25. Parkin DM 2006. The global health burden of infection-associated cancers in the year 2002. Int. J. Cancer. 118 (12): 3030โ€“44.
  • 26. Multiple and Persistent Infections Persistent hr HPV infection is widely associated with the development of cervical cancer (implies immune system weakness) Vaccination of individuals with multiple infections appear to lead to increased risk of CIN1 and CIN2 lesions post-vaccination
  • 27. HPV Vaccine Reduces Vaccine Targeted Types โ€ข Jeannot et al.. 2018: (Prevalence of Vaccine Type Infections in Vaccinated and Non-Vaccinated Young Women: HPV-IMPACT, a Self-Sampling Study)
  • 28.
  • 29. HPV Vaccine Development History โ€ข HPV-4 โ€ข HPV-9 โ€ข Cervarix Merckโ€™s submissions are all reviewed in Holland et al. (2018)
  • 30.
  • 32. Key Findings โ€ข The one RCT on market demographics (12-18 year olds) used a different formulation than the vaccine brought to market (1/2 AAHS) โ€ข HPV studies used AAHS vs. Vaccine. AAHS is an invalid placebo (saline alone should have been used). Equal levels of morbidity and mortality were found. โ€ข HPV-9 was compared to HPV-4. Equal levels of morbidity and mortality were found. โ€ข Girls in the control arm were vaccinated at the end of the trials, thus doubling their exposure to AAHS
  • 34. Adapted from Holland et al.(2018) โ€ข HPV vaccines have never been shown to prevent cancer of any kind. โ€ข Japan no longer recommends HPV vaccines following injuries โ€ข The clinical trials never investigated the vaccineโ€™s possible effects on human fertility or potential to cause cancer. โ€ข The clinical trials show that the vaccines contribute to HPV lesions, and potentially cancer, in some women. Despite this, neither the manufacturers nor government agencies recommend prescreening to eliminate those with clear risk factors. โ€ข Although the vaccine is targeted for 11-12-year-old children, and legal for children as young as 9, only a small fraction of clinical trial subjects was in this age range. โ€ข Lawsuits against HPV vaccine manufacturers and government health agencies are progressing around the world, including the US, India, Japan, Colombia, Spain, and France. โ€ข Although the US government proclaims HPV vaccines safe and effective, it has paid out millions of dollars to compensate families for death, brain injury, multiple sclerosis, ulcerative colitis, and other severe, debilitating conditions.
  • 35.
  • 36. Flaws in the clinical trials for Gardasil made it harder to properly assess safety
  • 37. Type Replacement Aside from potential issues related to duration of protection, type replacement is the main biological phenomenon that may limit the success of vaccine efforts aimed at reducing morbidity and mortality associated with cervical HPV infection โ€“ Tota et al. 2016
  • 38. Models and Simulations The numerical simulations of our model indicate that the application of the vaccine declines infection by target genotypes as expected. However, our results on dynamics of nonvaccine HPV types infection show the possible presence of a biological mechanism: vaccine-induced pathogenic strain replacement, for example, an increase in the prevalence of HPV genotypes not targeted by the vaccines due to an ecological niche created by a reduction in the prevalence of HPV genotypes targeted by the vaccines - Peralta, 2014 โ€œIn this context, our mathematical model correctly predicts the emergence of viral genotypes nontarget of the vaccine similar to the aforementioned phenomenon.โ€
  • 39. Models and Simulations โ€ข โ€œWe โ€ฆ find that the removal of HPV type 16, type 18, and types 6 and 11 would increase the prevalence of nontargeted types by 50%, 29%, and 183%, respectively.โ€ Durham et al. 2012. Reevaluation of epidemiological data demonstrates that it is consistent with cross- immunity among human papillomavirus types.
  • 40. Type Replacement Found โ€ข Fischer, S. 2016. Shift in prevalence of HPV types in cervical cytology specimens in the era of HPV vaccination. Oncol Lett 12:601-610. โ€ข Guo et al., 2015. Comparison of HPV prevalence between HPV-vaccinated and non-vaccinated young adult women (20-26 years)American Association for Cancer Research Meeting, Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; 2015. Abstract nr 844 โ€ข Mollers M et al., 2014. Population- and type-specific clustering of multiple HPV types across diverse risk populations in the Netherlands. Am J Epidemiol. 179(10):1236-46. doi: 10.1093/aje/kwu038. โ€ข Giambi C et al., 2013. A cross-sectional study to estimate high-risk human papillomavirus prevalence and type distribution in Italian women aged 18- 26 years. BMC Infect Dis. 13:74. doi: 10.1186/1471-2334-13-74.
  • 41. Type Replacement Detected, but Dismissed โ€œOur main analysis showed increases in other nonvaccine HPV types (HPV39, HPV52, HPV53, HPV58, and HPV73), but these increases were inconsistent for the 2 age groups examined and the vaccines used.โ€ Mesher et al., 2016. Assessment of the population-level impact of a high coverage HPV immunisation programme in young females
  • 42. Type Replacement Detected, But Not Significant
  • 43. Type Replacement Detected, but Denied โ€ข Markowitz LE et al., 2016 Prevalence of HPV After Introduction of the Vaccination Program in the United States. Pediatrics. 2016 Feb 22. pii: peds.2015- 1968.
  • 44.
  • 45. Type Replacement Detected, but Denied โ€ข Markowitz LE et al., 2016 Prevalence of HPV After Introduction of the Vaccination Program in the United States. Pediatrics. 2016 Feb 22. pii: peds.2015- 1968.
  • 46. Studies that Do Not Find Type Replacement
  • 47. Are Two Populations Being Vaccinated? Three? Or One? Correlation <> Causation For women recruited from a health department clinic, older age (OR = 1.4, 95% CI: 1.2-1.6) and consistent condom use with main partner in the past 3 months (OR = 11.6, 95% CI: 3.4-40) were associated with being unvaccinated. For women recruited from a teen health center African American race (OR = 0.2, 95% CI: 0.07-0.7) and having Medicaid health insurance (OR = 0.3, 95% CI: 0.1-0.7) were inversely associated with being unvaccinated. The observed increase in non-vaccine-type HPV prevalence in unvaccinated women may be explained by differences between unvaccinated and vaccinated women. Ding et al. Differences between vaccinated and unvaccinated women explain increase in non-vaccine-type human papillomavirus in unvaccinated women after vaccine introduction Vaccine 35:7217-7221.
  • 48. โ€œCorrecting Forโ€ and โ€œAdjusting Forโ€ Risk Factors, Exposures and Outcomes โ€ข A study focused on all-cause mortality and smoking tallies all deaths in smokers and non-smokers. โ€ข The authors find an association. โ€ข The authors decide to โ€œcorrect forโ€ a common medical condition and the association is no longer significant. โ€ข They conclude that it is unlikely that smoking contributes to mortality in humans. โ€ข The common medical condition? Cancer.
  • 49. Problematic Across-Group Adjustments โ€ข # of office visits โ€ข smoking โ€ข # of sexual partners โ€ข income โ€ข age of sexual debut โ€ข use of hormonal birth control โ€ข presence of other STD (e.g., Chlamydia trachomatis) โ€ข If these are different at baseline, those differences may be representative
  • 50. Simulated Example (for this course) y = 0.8922x + 0.0968 Rยฒ = 0.7156 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 0.1 0.2 0.3 0.4 0.5 0.6 Time 0 (Pre-Vaccination) Time 1 (After Vaccination) ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘› ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
  • 51. y = 0.8006x + 0.0609 Rยฒ = 0.6351 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 Sexual Activity Sexual Activity Time 1 (After Vaccination)
  • 52. y = -0.7399x + 1.2742 Rยฒ = 0.0334 0 0.5 1 1.5 2 2.5 3 3.5 4 0 0.1 0.2 0.3 0.4 0.5 0.6 T1/SA Time 0 (Pre-Vaccination) ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘› T1/SA
  • 53. Examples from HPV Vaccine Studies โ€ข Example #1. Carozzi et al., 2018: No Type Replacement Found after โ€œAssociation adjusted for the following variables: marital status, smoking status, number of sexual partners in the past 6 months, number of lifetime sexual partners, and sexually transmitted diseasesโ€ โ€ข Example #2. Gray et al., 2018. โ€œThe PR and OR estimates were adjusted for participant mobility, for community-level prevalence of regular smoking and for individual level C. trachomatis status, reflecting the risk-taking behaviorโ€ โ€ข Example #3. Mesher et al. 2016. Continuing reductions in HPV 16/18 in a population with high coverage of bivalent HPV vaccination in England: an ongoing cross-sectional study Adjusted ORs were calculated adjusting for age, testing venue type and chlamydia positivity (as a marker for sexual behaviour).
  • 54. Performing Multiple Comparisons When One Will Do A ztest of 2 proportions was used to assess differences in HPV typeโ€“specific prevalence among women who received all 3 doses of the vaccine and those who received none. The Bonferroni correction (significance level ฮฑ = 0.05/22) was used because of the multiple statistical testing conducted for the 22 nonvaccine HPV types detected by the assay. Significance was assessed at ฮฑ = 0.05 for HPV types 16 and 18. Association between the number of doses of vaccine received and HPV outcome was measured by using logistic regression adjusted for deprivation score, birth cohort year, and age at vaccination. Cameron et al. Human Papillomavirus Prevalence and Herd Immunity after Introduction of Vaccination Program, Scotland, 2009โ€“2013
  • 55. Soโ€ฆ Vaccinated and Unvaccinated People Donโ€™t Have Sex? โ€œOur findings, revealing similar or higher incidence of nonprotected HPV types in the control arm compared with the HPV arm across all our analyses, provide strong evidence that type replacement is unlikely to occur among vaccinated individualsโ€ -Tota et al. 2016 Evaluation of Type Replacement Following HPV16/18 Vaccination: Pooled Analysis of Two Randomized Trials
  • 56. Tota et al. did not study type replacement โ€œCompared rates of nonvaccine/nonprotected incident HPV infections across arms of these two trials.โ€ Population Vaccinated Unvaccinated Vaccinated Unvaccinated ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘› ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
  • 57. Tota et al. did not study type replacement โ€œCompared rates of nonvaccine/nonprotected incident HPV infections across arms of these two trials.โ€ ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘› Population Population Vaccinated Unvaccinated Vaccinated Unvaccinated ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
  • 58. Within-Arm Comparisons of Type Profiles ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›Population Vaccinated Unvaccinated Vaccinated Unvaccinated ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘› ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘› ๐‘ƒ๐‘–, ๐‘ƒ๐‘—, ๐‘ƒ๐‘˜โ€ฆ ๐‘ƒ๐‘›
  • 59. Niche Competition is Not Necessary for Type Replacement โ€œCompetition during natural infection between the existing vaccine targeted and nontargeted HPV types is probably a requirement for type replacement to occur (5) Nonetheless, vaccination against only a proportion of HPV types may introduce a competitive advantage for some nonvaccine types that could lead to type replacementโ€ โ€“ Tota et al., 2016 Pons-Salort et al. 2013. Interestingly, the hypothesis that coinfections clear simultaneously always leads to genotype replacement, even when infections with vaccine types favor the acquisition of infections with nonvaccine types Murall et al. 2013: Our model predicts that independence and facilitation are not necessary for the coexistence of types inside hosts, especially given the patchy nature of HPV infection. In fact, independence and facilitation inadequately represented co-infected patients. We found that some form of competition is likely in natural co-infections. Hence, non-vaccine-targeted types that are not cross-reactive with the vaccine could spread to more patches and can increase their viral load in vaccinated hosts
  • 60. Models Predict Emergence โ€ข Peralta et al 2014: if the effectiveness of cross-protective immunity is not larger than the effectiveness of the vaccine, then the high-risk nonvaccine genotypes emerge
  • 61. Biased Meta-Analysis โ€ข Mesher et al. (2016) [Population-Level Effects of Human Papillomavirus Vaccination Programs on Infections with Nonvaccine Genotypes EID Journal Volume 22, Number 10โ€”October 2016) Left out Guo, Mollers and Giambi studies
  • 62. Detection Interference Among HPV Types HPV16 alone did not affect detection of other high-risk genotypes; however when HPV16 and an additional genotype were present, detection of HPV31, 33, 51 or 59 was impeded, indicating potential for misrepresentation of population- based prevalence of these genotypes and false evidence for type replacement following vaccination - Cornall et al. In vitro assessment of the effect of vaccine-targeted human papillomavirus (HPV) depletion on detection of non-vaccine HPV types: implications for post-vaccine surveillance studies From Gray et al: It is possible that following HPV vaccination the increased prevalence of non- vaccine HPV types are not caused by type replacement but rather by unmasking
  • 63. Hong et al., 2018 Comparison of the clinical performance of OmniPlex-HPV and GeneFinder HPV for the detection and genotyping of human papillomaviruses in cervical specimens Compared Omniplex-HPV and GeneFinder HPV (100% vs. 96% sensitivity)
  • 64. Premature Ovarian Failure Case Reports alternatively known as โ€œprimary or premature ovarian insufficiency (POI), or diminished ovarian reserve (DOR)โ€ Little DT, and Ward HR. Adolescent premature ovarian insufficiency following human papillomavirus vaccination: a case series seen in general practice. J Inv Med High Imp Case Rep. 2014; doi: 10.1177/2324709614556129, pp 1-12. (N=3) Colafrancesco S, Perricone C, Tomljenovic L, Shoenfeld Y. Human papilloma virus vaccine and primary ovarian failure: another facet of the autoimmune/inflammatory syndrome induced by adjuvants. Am J Reprod Immunol. 2013; 70:309-316. (N=3) Hamiel, Orit (Israel) 15 total cases, some 13 cases occurred within the last five years of the study indicating a cluster
  • 65. Evidence Summary โ€œSeveral years ago, cases of POS after anti-HPV vaccination were recorded. The patients developed secondary amenorrhea following HPV vaccinations, which did not resolve upon treatment with hormone replacement therapies. Serological evaluations showed low levels of E2 and increased FSH and LH and specific auto-antibodieswere detected (antiovarian and antithyroid), suggesting that the HPV vaccine triggered an autoimmune response.โ€ Jankowska, K. 2017. Premature ovarian failure
  • 66. HPV vaccine inventor Ian Frazer "[C]ervical cancer screening if used and promoted effectively would be almost entirely able to prevent" cervical cancer deaths in countries like the US and Australia, without HPV vaccines.
  • 67.
  • 68.
  • 69. American College of Pediatricians โ€“ January 2016 โ€ข New Concerns about the Human Papillomavirus Vaccine http://www.acpeds.org/the-college-speaks/position- statements/health-issues/new-concerns-about-the-human- papillomavirus-vaccine