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Vikrant V. Sahasrabuddhe, MBBS, MPH, DrPH Hormonal and Reproductive Epidemiology Branch

HPV genotype attribution of anal neoplasia in HIV-positive MSM: estimating the preventable fraction and disease misclassification. Vikrant V. Sahasrabuddhe, MBBS, MPH, DrPH Hormonal and Reproductive Epidemiology Branch Division of Cancer Epidemiology and Genetics National Cancer Institute

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Vikrant V. Sahasrabuddhe, MBBS, MPH, DrPH Hormonal and Reproductive Epidemiology Branch

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  1. HPV genotype attribution of anal neoplasia in HIV-positive MSM: estimating the preventable fraction and disease misclassification Vikrant V. Sahasrabuddhe, MBBS, MPH, DrPH Hormonal and Reproductive Epidemiology Branch Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Rockville, MD, USA XIX International AIDS Conference, Washington, D.C. July 25, 2012

  2. I have no conflicts of interest to declare

  3. Co-Authors Vikrant V. Sahasrabuddhe1, Philip E. Castle2, Stephen Follansbee3 , Sylvia Borgonovo 3, Brandon J. LaMere3, Diane Tokugawa3, Teresa Darragh4, Sean Boyle5, Mark Sadorra 5, Scott Tang5, Nicolas Wentzensen1 1 National Cancer Institute, Rockville, MD, USA, 2American Society for Clinical Pathology, Washington, DC, USA, 3Kaiser Permanente Northern California, San Francisco, CA, USA, 4University of California at San Francisco, San Francisco, CA, USA, 5Roche Molecular Systems, Pleasanton, CA, USA

  4. Background • Reducing the burden of HPV-related cancers in HIV+ populations is an important global public health agenda • HIV+ MSM are at exceedingly high-risk of HPV-induced anal cancer and its precursor-high-grade anal intraepithelial neoplasia (HGAIN)

  5. BackgroundPotential approaches to prevention of anal cancer in HIV+ MSM Primary prevention: HPV prophylactic vaccination Licensed vaccines: Bivalent HPV vaccine: HPV16/18 (Cervarix®, GSK) Quadrivalent HPV vaccine: HPV16/18/6/11 (Gardasil®, Merck) Investigational vaccine: Nonavalent HPV vaccine: HPV16/18/6/11/31/33/45/52/58 (V503, Merck) No efficacy trials to-date in HIV+ MSM Safety & immunogenicity data are reassuring Quadrivalent vaccine licensed for HIV+/MSM/immunocompromised males: ages 9 to 26 years Ref: CDC MMWR February 3, 2012 / 61(04);1-7

  6. BackgroundPotential approaches to prevention of anal cancer in HIV+ MSM Secondary prevention: screening and treatment of HGAIN Screening by anal cytology (Pap) Diagnosis by high-resolution anoscopy + biopsy Treatment of HGAIN [e.g., by ablation/infrared coagulation] No consensus guidelines for anal cancer screening Clinicians in specialized centers offer anal cancer screening • strong similarities between anal and cervical cancer and their precursors & demonstrated success of cervical cancer prevention program • high proportion of HGAIN lesions can be treated using office-based procedures • anal screening and treatment in targeted populations shown to be cost-effective Ref: Palefsky 2012, Goldstone et al 2007, Stier et al 2008, Singh et al 2009, Fox et al 2010, Goldie et al 2000

  7. Background Challenges in HPV clinical epidemiology studies in HIV+ MSM with a bearing on clinical practice • Anal cytology and high-resolution anoscopy are sub-optimally sensitive how to minimize disease misclassification? • Multiple HPV infections and multiple carcinogenic HPV infections are very common how to attribute etiologic fraction to individual HPV genotypes?

  8. Study Objectives • Characterization of HPV genotype distribution across AIN categories in HIV+ MSM • Unsupervised hierarchical clustering to explore histology-cytology disease groups based on distribution of carcinogenic HPV genotypes • Attribution modeling to estimate fractions of HGAIN preventable by HPV vaccination

  9. Methods • Study design • Cross-sectional study at Kaiser Permanente Northern California (KPNC)-Anal Cancer screening clinic in San Francisco, California • Study population • n=363 HIV+ MSM participating in KPNC HMO plan • Study investigations • Anal sample by wetted, flocked nylon swab • HPV genotyping: Roche Linear Array HPV (LA-HPV) PCR assay • Anal cytology • Digital anorectal examination • High resolution anoscopy (HRA) with anal biopsy (histology)

  10. ResultsParticipant characteristics

  11. ResultsHPV genotype prevalence and distribution (n=342) • High prevalence of HPV genotypes & carcinogenic HPV genotypes • Any HPV: 94.4% • Any carcinogenic HPV: 75.4% • 36 of 37 detectable genotypes present • High proportion with multiple genotypes & multiple carcinogenic genotypes • Multiple HPV genotypes: 85.4% • Multiple carcinogenic HPV genotypes: 47.4% ‘Carcinogenic’ HPV: HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 68; Ref: Bouvard et al 2009 Lancet Oncol

  12. ResultsCytology & HRA-Histology AIN: Anal intraepithelial neoplasia; NILM: Negative for intraepithelial lesions or malignancy ASC-US: Atypical squamous cells of undetermined significance ASC-H: Atypical-squamous cells cannot exclude high-grade squamous intraepithelial lesion LSIL: low-grade squamous intraepithelial lesions ; HSIL: high-grade squamous intraepithelial lesions ; HSIL-AIN2: HSIL-favor AIN2 ; HSIL-AIN3: HSIL-favor AIN3 Normal HRA: No Biopsy taken; NILM includes cases with no cytology results were available but for which HRA/histology results were available

  13. MethodsUnsupervised hierarchical clustering • Categorization: Separated participants into 11 anal disease categories by crossing cytology/HRA/histology results • Clustering:Simultaneous clustering of both disease combinations and HPV genotypes • Complete linkage and Euclidean distance matrix • Software: • Cluster 3.0 for clustering of HPV frequency arrays • Java TreeView for heatmap and dendrogram visualization

  14. ResultsHeatmap & Dendrograms: Unsupervised Hierarchical Clustering

  15. Results • Clusters of Anal Disease Categories by Unsupervised Hierarchical Clustering Cluster 1 Cluster 3 Cluster 2

  16. ResultsDisease ascertainment for genotype attribution: Creation of composite cytology-histologic endpoints (n=342)

  17. ResultsDisease ascertainment for genotype attribution: Creation of composite cytology-histologic endpoints (n=342) HGAIN (AIN2 + AIN3) prevalence = 110 out of 342 = 32.2% (95%CI: 27.4-37.3)

  18. Results Composite disease categories and HPV prevalence All p for trend<0.01 (‘No AIN’ to AIN3) ‘Carcinogenic’ HPV: HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 68

  19. MethodsAttributing HGAIN fraction to individual HPV genotypes • Low-end estimate • Prevalence in cases with single carcinogenic HPV genotype • Irrespective of other non/possible carcinogenic genotypes • High-end estimate • Prevalence in HGAIN cases with any HPV genotype • Irrespective of multiple genotypes • Hierarchical attribution model estimate • HPV genotypes are attributed to cases by hierarchical frequency of carcinogenic genotypes in HGAIN

  20. MethodsAttribution modeling: assumptions and caveats • HPV vaccination would happen before exposure to HPV genotypes included in the vaccines • Cross-genotype protection and synergy between genotypes not considered • Full immune response to HPV VLP vaccines

  21. ResultsEstimation models of HPV vaccine preventable fractions of HGAIN (n=110)

  22. Conclusions • Genotype attribution models suggest that HPV prophylactic vaccines may potentially prevent a large fraction of HGAIN in HIV-positive MSM • HGAIN is clinically & etiologically heterogeneous in HIV-positive MSM • HPV16 is the most common and etiologically dominant genotype in HIV-positive MSM • Combining cytology and histology endpoints may improve disease ascertainment in cross sectional studies in HIV-positive MSM • Molecular characterization by HPV genotyping or biomarkers may reduce misclassification of HGAIN in HIV-positive MSM

  23. Future directions • Methodology:Analytical framework needs to be replicated and for use in evaluation and comparison of attribution fractions and disease ascertainment across populations and across disease sites. • Informing prevention clinical trials:Model results can be used to inform the design of future efficacy trials of HPV vaccines in HIV+ individuals and trials of best approaches to anal cancer screening. • Prospective cohort studies: Risk of HGAIN associated with clusters of anal disease categories and HPV genotypes in HIV-positive MSM needs to be evaluated prospectively.

  24. Acknowledgments *Study participants NCI/NIH • Nicolas Wentzensen • Louise Brinton • Katherine McGlynn • Lauren Schwartz • Lauren Wilson • Mark Sherman • Saloni Nayar • Jennifer Loukissas ASCP • Philip Castle UCSF • Teresa Darragh • Joel Palefsky KPNC • Steven Follansbee Roche • Sean Boyle Vanderbilt • Sten Vermund • Funding: • Intramural Research Program of the National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS) • Oak Ridge Institute of Science and Education (ORISE) Research Participation Program

  25. Thank you for your attention

  26. Extra slides

  27. Results Distribution of cytology-HRA-histology (n=342) Normal HRA: No Biopsy taken AIN: Anal intraepithelial neoplasia NILM: Negative for intraepithelial lesions or malignancy ASC-US: Atypical squamous cells of undetermined significance ASC-H: Atypical-squamous cells cannot exclude high-grade squamous intraepithelial lesion LSIL: low-grade squamous intraepithelial lesions HSIL: high-grade squamous intraepithelial lesions HSIL-AIN2: HSIL-favor AIN2 HSIL-AIN3: HSIL-favor AIN3 1 Category includes cases with no cytology results available, for which HRA/histology results were available 2 Normal HRA results indicate that no Biopsy was taken

  28. Results High prevalence of multiple HPV genotypes across AIN disease categories All HPV genotypes Median: 4 Range: 0-14 IQR: 2-6 62.2% Multiple types % 86% 94.4% 92.9% Carcinogenic HPV genotypes Median: 1 Range: 0-7 IQR: 1-3 26.1% 47.1% 62.2% 71.4% Multiple types %

  29. ResultsClusters of Anal Disease by Unsupervised Hierarchical Clustering Cluster 3 Cluster 2 Cluster 1

  30. ResultsParticipant characteristics by dendrogram clusters of anal disease

  31. ResultsDifferences in HPV genotypes prevalence in HGAIN by CD4 counts Bivalent HPV vaccine genotypes: HPV16, 18 ; Quadrivalent HPV vaccine genotypes: HPV 16, 18, 6, 11; Nonavalent HPV vaccine genotypes: HPV16, 18, 6, 11, 31, 33, 45, 52, 58

  32. Results Clusters of Carcinogenic HPV genotypes by Unsupervised Hierarchical Clustering Non-16 carcinogenic HPV Cluster 1 Cluster 2 HPV16

  33. ResultsComparison of main findings with other published research

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