Literature DB >> 21908729

Clustering of human papillomavirus (HPV) types in the male genital tract: the HPV in men (HIM) study.

Salvatore Vaccarella1, Martyn Plummer, Silvia Franceschi, Patti Gravitt, Mary Papenfuss, Danelle Smith, Luisa Villa, Eduardo Lazcano Ponce, Anna R Giuliano.   

Abstract

OBJECTIVE: To evaluate clustering patterns of prevalent infection with multiple human papillomavirus (HPV) types in 3677 men from the HPV in Men (HIM) study.
METHODS: HPV testing was performed in samples combined from the glans penis/coronal sulcus, the shaft, and the scrotum by Linear Array methodology. Linear Array uses a mixed probe to assess HPV52 positivity, which limits the assay's ability to determine HPV52 status in the presence of HPV33, 35, or 58. Logistic regression was used to model type-specific HPV positivity, adjusted for age, study area, lifetime number of sexual partners, and specific HPV type prevalence. Participant-level random effects were added to represent unobservable risk factors common to all HPV types.
RESULTS: The observed-to-expected ratio for infections with ≥ 3 types was 1.09 (95% credible interval, 1.04-1.14). For the majority of 2-type combinations, no evidence was found of a significant departure of the observed from the expected number. An apparent clustering of HPV52 with HPV35 or 58 was observed, because of limitation in the ability of Linear Array to define HPV52 positivity.
CONCLUSIONS: Our study showed that, despite obvious anatomical differences, HPV coinfections do seem to occur at random in the male external genitalia as in the female cervix.

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Year:  2011        PMID: 21908729      PMCID: PMC3222106          DOI: 10.1093/infdis/jir595

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  23 in total

1.  Improved amplification of genital human papillomaviruses.

Authors:  P E Gravitt; C L Peyton; T Q Alessi; C M Wheeler; F Coutlée; A Hildesheim; M H Schiffman; D R Scott; R J Apple
Journal:  J Clin Microbiol       Date:  2000-01       Impact factor: 5.948

2.  Marginal and mixed-effects models in the analysis of human papillomavirus natural history data.

Authors:  Xiaonan Xue; Stephen J Gange; Ye Zhong; Robert D Burk; Howard Minkoff; L Stewart Massad; D Heather Watts; Mark H Kuniholm; Kathryn Anastos; Alexandra M Levine; Melissa Fazzari; Gypsyamber D'Souza; Michael Plankey; Joel M Palefsky; Howard D Strickler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-01       Impact factor: 4.254

3.  Multiple human papillomavirus infections: the exception or the rule?

Authors:  Martyn Plummer; Salvatore Vaccarella; Silvia Franceschi
Journal:  J Infect Dis       Date:  2011-04-01       Impact factor: 5.226

4.  Prevalence of and risk factors for anal human papillomavirus infection in men who have sex with women: a cross-national study.

Authors:  Alan G Nyitray; Dan'elle Smith; Luisa Villa; Eduardo Lazcano-Ponce; Martha Abrahamsen; Mary Papenfuss; Anna R Giuliano
Journal:  J Infect Dis       Date:  2010-05-15       Impact factor: 5.226

5.  Clustering of multiple human papillomavirus infections in women from a population-based study in Guanacaste, Costa Rica.

Authors:  Salvatore Vaccarella; Silvia Franceschi; Rolando Herrero; Mark Schiffman; Ana Cecilia Rodriguez; Allan Hildesheim; Robert D Burk; Martyn Plummer
Journal:  J Infect Dis       Date:  2011-08-01       Impact factor: 5.226

6.  Concurrent infection with multiple human papillomavirus types: pooled analysis of the IARC HPV Prevalence Surveys.

Authors:  Salvatore Vaccarella; Silvia Franceschi; Peter J F Snijders; Rolando Herrero; Chris J L M Meijer; Martyn Plummer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-02       Impact factor: 4.254

7.  Human papillomavirus infection with multiple types: pattern of coinfection and risk of cervical disease.

Authors:  Anil K Chaturvedi; Hormuzd A Katki; Allan Hildesheim; Ana Cecilia Rodríguez; Wim Quint; Mark Schiffman; Leen-Jan Van Doorn; Carolina Porras; Sholom Wacholder; Paula Gonzalez; Mark E Sherman; Rolando Herrero
Journal:  J Infect Dis       Date:  2011-04-01       Impact factor: 5.226

8.  Human papillomavirus infection in men residing in Brazil, Mexico, and the USA.

Authors: 
Journal:  Salud Publica Mex       Date:  2008 Sep-Oct

9.  Multiple-type human papillomavirus infection in male anogenital sites: prevalence and associated factors.

Authors:  Carrie M Nielson; Robin B Harris; Roberto Flores; Martha Abrahamsen; Mary R Papenfuss; Eileen F Dunne; Lauri E Markowitz; Anna R Giuliano
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-24       Impact factor: 4.254

10.  Confirmation and quantitation of human papillomavirus type 52 by Roche Linear Array using HPV52-specific TaqMan E6/E7 quantitative real-time PCR.

Authors:  Morgan Marks; Swati B Gupta; Kai-Li Liaw; Esther Kim; Amha Tadesse; Francois Coutlee; Somchai Sriplienchan; David D Celentano; Patti E Gravitt
Journal:  J Virol Methods       Date:  2008-12-06       Impact factor: 2.014

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  14 in total

1.  Evaluation of human papillomavirus type replacement postvaccination must account for diagnostic artifacts: masking of HPV52 by HPV16 in anogenital specimens.

Authors:  Joseph E Tota; Agnihotram V Ramanakumar; Luisa L Villa; Harriet Richardson; Ann N Burchell; Anita Koushik; Marie-Hélène Mayrand; François Coutlée; Eduardo L Franco
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-10-02       Impact factor: 4.254

2.  Vaccine-relevant human papillomavirus (HPV) infections and future acquisition of high-risk HPV types in men.

Authors:  Anne F Rositch; Michael G Hudgens; Danielle M Backes; Stephen Moses; Kawango Agot; Edith Nyagaya; Peter J F Snijders; Chris J L M Meijer; Robert C Bailey; Jennifer S Smith
Journal:  J Infect Dis       Date:  2012-06-18       Impact factor: 5.226

3.  The Association between Smoking and Anal Human Papillomavirus in the HPV Infection in Men Study.

Authors:  Victoria Umutoni; Matthew B Schabath; Alan G Nyitray; Timothy J Wilkin; Luisa L Villa; Eduardo Lazcano-Ponce; Anna R Giuliano; Staci L Sudenga
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-08-02       Impact factor: 4.090

4.  Multiple human papillomavirus infections with high viral loads are associated with cervical lesions but do not differentiate grades of cervical abnormalities.

Authors:  Markus Schmitt; Christophe Depuydt; Ina Benoy; Johannes Bogers; Jerome Antoine; Marc Arbyn; Michael Pawlita
Journal:  J Clin Microbiol       Date:  2013-02-27       Impact factor: 5.948

Review 5.  Clinical trials of human papillomavirus vaccines and beyond.

Authors:  Matti Lehtinen; Joakim Dillner
Journal:  Nat Rev Clin Oncol       Date:  2013-06-04       Impact factor: 66.675

6.  Epidemiologic approaches to evaluating the potential for human papillomavirus type replacement postvaccination.

Authors:  Joseph E Tota; Agnihotram V Ramanakumar; Mengzhu Jiang; Joakim Dillner; Stephen D Walter; Jay S Kaufman; François Coutlée; Luisa L Villa; Eduardo L Franco
Journal:  Am J Epidemiol       Date:  2013-05-09       Impact factor: 4.897

7.  A prospective analysis of smoking and human papillomavirus infection among men in the HPV in Men Study.

Authors:  Matthew B Schabath; Luisa L Villa; Hui-Yi Lin; William J Fulp; Eduardo Lazcano-Ponce; Jorge Salmerón; Martha E Abrahamsen; Mary R Papenfuss; Manuel Quiterio; Anna R Giuliano
Journal:  Int J Cancer       Date:  2013-11-13       Impact factor: 7.396

8.  Clustering patterns of human papillomavirus infections among HIV-positive women in Kenya.

Authors:  Salvatore Vaccarella; Hugo De Vuyst; Nelly R Mugo; Samah R Sakr; Martyn Plummer; Daniëlle A M Heideman; Silvia Franceschi; Michael Chung
Journal:  Infect Agent Cancer       Date:  2013-12-19       Impact factor: 2.965

9.  Patterns of human papillomavirus types in multiple infections: an analysis in women and men of the high throughput human papillomavirus monitoring study.

Authors:  Salvatore Vaccarella; Anna Söderlund-Strand; Silvia Franceschi; Martyn Plummer; Joakim Dillner
Journal:  PLoS One       Date:  2013-08-19       Impact factor: 3.240

10.  Randomization modeling to ascertain clustering patterns of human papillomavirus types detected in cervicovaginal samples in the United States.

Authors:  Troy David Querec; Brian Mohan Gurbaxani; Elizabeth Robinson Unger
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

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