Literature DB >> 21976212

Attribution of human papillomavirus types to cervical intraepithelial neoplasia and invasive cancers in Southern China.

Paul K S Chan1, Tak-Hong Cheung, Wai-Hon Li, Mei Y Yu, May Y M Chan, So-Fan Yim, Wendy C S Ho, Apple C M Yeung, King-Man Ho, H K Ng.   

Abstract

The attribution of individual human papillomavirus (HPV) types to cervical neoplasia, especially intraepithelial lesions, varies ethnogeographically. Population-specific data are required for vaccine cost-effectiveness assessment and type replacement monitoring. HPV was detected from 2,790 Chinese women (444 invasive cervical cancers [ICC], 772 cervical intraepithelial neoplasia [CIN] grade 3, 805 CIN2 and 769 CIN1. The attribution of each HPV type found in multiple-type infections was approximated by the fractional contribution approach. Multiple-type infection was common and correlated inversely with lesion severity (54.7% for CIN1, 48.7% for CIN2, 46.2% for CIN3, 27.5% for ICC). Vaccine-covered high-risk types (HPV16/18) attributed to 59.5% of squamous cell carcinoma, 78.6% of adenocarcinoma, 35.9% of CIN3, 18.4% of CIN2 and 7.4% of CIN1. Distinct features compared to worldwide were a higher attribution of HPV52 and HPV58, and a much lower attribution of HPV45. Inclusion of HPV52 and HPV58 in future vaccines would provide the highest marginal increase in coverage with 11.7% for squamous cell carcinoma, 14.4% for CIN3, 22.6% for CIN2 and 17.7% for CIN1. The attribution of HPV types in southern China is different from elsewhere, which should be considered in prioritizing HPV types for vaccine and screening assay development.
Copyright © 2011 UICC.

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Year:  2011        PMID: 21976212     DOI: 10.1002/ijc.26404

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  21 in total

1.  Human papillomavirus type-specific prevalence in women with cervical intraepithelial neoplasm in Western China.

Authors:  Jinke Li; Jie Mei; Xuedong Wang; Lina Hu; Yong Lin; Pei Yang
Journal:  J Clin Microbiol       Date:  2011-12-14       Impact factor: 5.948

2.  Geographical distribution and risk association of human papillomavirus genotype 52-variant lineages.

Authors:  Chuqing Zhang; Jong-Sup Park; Magdalena Grce; Samantha Hibbitts; Joel M Palefsky; Ryo Konno; Karen K Smith-McCune; Lucia Giovannelli; Tang-Yuan Chu; María Alejandra Picconi; Patricia Piña-Sánchez; Wannapa Settheetham-Ishida; Francois Coutlée; Federico De Marco; Yin-Ling Woo; Wendy C S Ho; Martin C S Wong; Mike Z Chirenje; Tsitsi Magure; Anna-Barbara Moscicki; Ivan Sabol; Alison N Fiander; Zigui Chen; Martin C W Chan; Tak-Hong Cheung; Robert D Burk; Paul K S Chan
Journal:  J Infect Dis       Date:  2014-05-30       Impact factor: 5.226

3.  Knowledge, attitude, practice and barriers on vaccination against human papillomavirus infection: a cross-sectional study among primary care physicians in Hong Kong.

Authors:  Martin C S Wong; Albert Lee; Karry L K Ngai; Josette C Y Chor; Paul K S Chan
Journal:  PLoS One       Date:  2013-08-21       Impact factor: 3.240

4.  Prognostic implication of human papillomavirus types and species in cervical cancer patients undergoing primary treatment.

Authors:  Yat Ming Lau; Tak Hong Cheung; Winnie Yeo; Frankie Mo; Mei Yung Yu; Kun Min Lee; Wendy C S Ho; Apple C M Yeung; Priscilla T Y Law; Paul K S Chan
Journal:  PLoS One       Date:  2015-04-09       Impact factor: 3.240

5.  Evaluation of the Impact of Human Papillomavirus DNA Self-sampling on the Uptake of Cervical Cancer Screening.

Authors:  Eliza L Y Wong; Paul K S Chan; Josette S Y Chor; Annie W L Cheung; Fenwei Huang; Samuel Y S Wong
Journal:  Cancer Nurs       Date:  2016 Jan-Feb       Impact factor: 2.592

6.  Prevalence characteristics of cervical human papillomavirus (HPV) genotypes in the Taizhou area, China: a cross-sectional study of 37 967 women from the general population.

Authors:  Hui Hui Xu; Aifen Lin; Ya Hong Chen; Shan Shan Dong; Wei Wu Shi; Jia Zheng Yu; Wei Hua Yan
Journal:  BMJ Open       Date:  2017-06-09       Impact factor: 2.692

7.  Human papillomavirus type 58: the unique role in cervical cancers in East Asia.

Authors:  Paul Ks Chan
Journal:  Cell Biosci       Date:  2012-05-09       Impact factor: 7.133

8.  Significance of HPV-58 infection in women who are HPV-positive, cytology-negative and living in a country with a high prevalence of HPV-58 infection.

Authors:  Joon Seon Song; Eun Ju Kim; Jene Choi; Gyungyub Gong; Chang Ohk Sung
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

Review 9.  Laboratory and clinical aspects of human papillomavirus testing.

Authors:  Paul K S Chan; María Alejandra Picconi; Tak Hong Cheung; Lucia Giovannelli; Jong Sup Park
Journal:  Crit Rev Clin Lab Sci       Date:  2012 Jul-Aug       Impact factor: 6.250

10.  Meta-analysis on prevalence and attribution of human papillomavirus types 52 and 58 in cervical neoplasia worldwide.

Authors:  Paul K S Chan; Wendy C S Ho; Martin C W Chan; Martin C S Wong; Apple C M Yeung; Josette S Y Chor; Mamie Hui
Journal:  PLoS One       Date:  2014-09-17       Impact factor: 3.240

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