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Cited by 388

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Human papillomavirus DNA prevalence and type distribution in anal carcinomas worldwide: HPV in Anal Cancers

Open access
Alemany, Laia, Saunier, Maëlle, Alvarado-Cabrero, Isabel, Quirós, Beatriz, Salmeron, Jorge, Shin, Hai-Rim, Pirog, Edyta C., Guimerà, Núria, Hernandez-Suarez, Gustavo, Felix, Ana, Clavero, Omar, Lloveras, Belen, Kasamatsu, Elena, Goodman, Marc T., Hernandez, Brenda Y., Laco, Jan, Tinoco, Leopoldo, Geraets, Daan T., Lynch, Charles F., Mandys, Vaclav, Poljak, Mario, Jach, Robert, Verge, Josep, Clavel, Christine, Ndiaye, Cathy, Klaustermeier, JoEllen, Cubilla, Antonio, Castellsagué, Xavier, Bravo, Ignacio G., Pawlita, Michael, Quint, William G., Muñoz, Nubia, Bosch, Francesc X., de Sanjosé, Silvia, on behalf of the HPV VVAP Study Group·2015·International Journal of Cancer

Abstract

Knowledge about human papillomaviruses (HPV) types involved in anal cancers in some world regions is scanty. Here, we describe the HPV DNA prevalence and type distribution in a series of invasive anal cancers and anal intraepithelial neoplasias (AIN) grades 2/3 from 24 countries. We analyzed 43 AIN 2/3 cases and 496 anal cancers diagnosed from 1986 to 2011. After histopathological evaluation of formalin-fixed paraffin-embedded samples, HPV DNA detection and genotyping was performed using SPF-10/DEIA/LiPA25 system (version 1). A subset of 116 cancers was further tested for p16(INK4a) expression, a cellular surrogate marker for HPV-associated transformation. Prevalence ratios were estimated using multivariate Poisson regression with robust variance in the anal cancer data set. HPV DNA was detected in 88.3% of anal cancers (95% confidence interval [CI]: 85.1-91.0%) and in 95.3% of AIN 2/3 (95% CI: 84.2-99.4%). Among cancers, the highest prevalence was observed in warty-basaloid subtype of squamous cell carcinomas, in younger patients and in North American geographical region. There were no statistically significant differences in prevalence by gender. HPV16 was the most frequent HPV type detected in both cancers (80.7%) and AIN 2/3 lesions (75.4%). HPV18 was the second most common type in invasive cancers (3.6%). p16(INK4a) overexpression was found in 95% of HPV DNA-positive anal cancers. In view of the results of HPV DNA and high proportion of p16(INK4a) overexpression, infection by HPV is most likely to be a necessary cause for anal cancers in both men and women. The large contribution of HPV16 reinforces the potential impact of HPV vaccines in the prevention of these lesions.

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Metadata

Authors
Alemany, L., Saunier, M., Alvarado-Cabrero, I., Quirós, B., Salmeron, J., Shin, H.-R., Pirog, E. C., Guimerà, N., Hernandez-Suarez, G., Felix, A., Clavero, O., Lloveras, B., Kasamatsu, E., Goodman, M. T., Hernandez, B. Y., Laco, J., Tinoco, L., Geraets, D. T., Lynch, C. F., Mandys, V., Poljak, M., Jach, R., Verge, J., Clavel, C., Ndiaye, C., Klaustermeier, J., Cubilla, A., Castellsagué, X., Bravo, I. G., Pawlita, M., Quint, W. G., Muñoz, N., Bosch, F. X., de Sanjosé, S., & on behalf of the HPV VVAP Study Group
Venue
International Journal of Cancer
Publisher
Wiley
Published
2014-05-30
Volume
136
Issue
1
Pages
98-107
ISSN
0020-7136 (ISSN-L)
OpenAlex
W1543806678
Cited by
388
References
33
FWCI
27.86
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Human papillomavirus DNA prevalence and type distribution in anal carcinomas worldwide: HPV in Anal Cancers. https://app.cochat.ai/papers/10.1002/ijc.28963
The paper
Alemany, L., Saunier, M., Alvarado-Cabrero, I., Quirós, B., Salmeron, J., Shin, H.-R., Pirog, E. C., Guimerà, N., Hernandez-Suarez, G., Felix, A., Clavero, O., Lloveras, B., Kasamatsu, E., Goodman, M. T., Hernandez, B. Y., Laco, J., Tinoco, L., Geraets, D. T., Lynch, C. F., . . . on behalf of the HPV VVAP Study Group. (2015). Human papillomavirus DNA prevalence and type distribution in anal carcinomas worldwide: HPV in Anal Cancers. International Journal of Cancer. https://doi.org/10.1002/ijc.28963

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.