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Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China

BACKGROUND: Infection with high-risk human papillomavirus is an important factor associated with cervical cancer, and the distribution of HPV types varies greatly worldwide. Determination of type-specific HPV prevalence constitutes an important step towards the development of vaccines for the preven...

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Autores principales: Wu, En-qi, Zhang, Guo-nan, Yu, Xiang-hui, Ren, Yuan, Fan, Ying, Wu, Yong-ge, Kong, Wei, Zha, Xiao
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2490702/
https://www.ncbi.nlm.nih.gov/pubmed/18644159
http://dx.doi.org/10.1186/1471-2407-8-202
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author Wu, En-qi
Zhang, Guo-nan
Yu, Xiang-hui
Ren, Yuan
Fan, Ying
Wu, Yong-ge
Kong, Wei
Zha, Xiao
author_facet Wu, En-qi
Zhang, Guo-nan
Yu, Xiang-hui
Ren, Yuan
Fan, Ying
Wu, Yong-ge
Kong, Wei
Zha, Xiao
author_sort Wu, En-qi
collection PubMed
description BACKGROUND: Infection with high-risk human papillomavirus is an important factor associated with cervical cancer, and the distribution of HPV types varies greatly worldwide. Determination of type-specific HPV prevalence constitutes an important step towards the development of vaccines for the prevention of cervical cancer. METHODS: The human papillomavirus (HPV) genotypes in 190 cervical cancer specimens taken from the Sichuan province, the most populous province of Southwest China, were detected by a combination of MY09/11 consensus primers PCR (MY09/11 PCR), type-specific primers one-step PCR (One-step TS PCR) and E6/E7 gene type-specific primers nested PCR (Nested TS PCR). The prevalence and distribution of HPV in patients with cervical cancer, especially for HPV types 16, 18, 52, 58 and 59, suspected to be most common in certain parts of China, was investigated. RESULTS: The HPV infection rates detected by MY09/11 PCR, One-step TS PCR and Nested TS PCR were 159 (83.7%), 145 (76.3%) and 172 (90.5%), respectively. The overall HPV prevalence was 93.2% (177/190). The positive specimens for HPV16, 18, 52, 58 and 59 detected by One-step TS-PCR were 111 (58.4%), 14 (7.4%), 6 (3.2%), 13 (6.8%) and 4 (2.1%), respectively. By Nested TS-PCR analysis, the detection rates of HPV16, 52, 58 and 59 were increased to 140 (73.7%), 30 (15.8%), 37 (19.5%) and 25 (13.2%), while only 4 (2.1%) additional specimens were found to be infected with HPV18. CONCLUSION: Our data demonstrate that, besides HPV 16, which was found to be the most prevalent type, HPV types 58, 52 and 59 are more prevalent than HPV18 in women with cervical cancer in the Sichuan area of China.
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spelling pubmed-24907022008-07-30 Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China Wu, En-qi Zhang, Guo-nan Yu, Xiang-hui Ren, Yuan Fan, Ying Wu, Yong-ge Kong, Wei Zha, Xiao BMC Cancer Research Article BACKGROUND: Infection with high-risk human papillomavirus is an important factor associated with cervical cancer, and the distribution of HPV types varies greatly worldwide. Determination of type-specific HPV prevalence constitutes an important step towards the development of vaccines for the prevention of cervical cancer. METHODS: The human papillomavirus (HPV) genotypes in 190 cervical cancer specimens taken from the Sichuan province, the most populous province of Southwest China, were detected by a combination of MY09/11 consensus primers PCR (MY09/11 PCR), type-specific primers one-step PCR (One-step TS PCR) and E6/E7 gene type-specific primers nested PCR (Nested TS PCR). The prevalence and distribution of HPV in patients with cervical cancer, especially for HPV types 16, 18, 52, 58 and 59, suspected to be most common in certain parts of China, was investigated. RESULTS: The HPV infection rates detected by MY09/11 PCR, One-step TS PCR and Nested TS PCR were 159 (83.7%), 145 (76.3%) and 172 (90.5%), respectively. The overall HPV prevalence was 93.2% (177/190). The positive specimens for HPV16, 18, 52, 58 and 59 detected by One-step TS-PCR were 111 (58.4%), 14 (7.4%), 6 (3.2%), 13 (6.8%) and 4 (2.1%), respectively. By Nested TS-PCR analysis, the detection rates of HPV16, 52, 58 and 59 were increased to 140 (73.7%), 30 (15.8%), 37 (19.5%) and 25 (13.2%), while only 4 (2.1%) additional specimens were found to be infected with HPV18. CONCLUSION: Our data demonstrate that, besides HPV 16, which was found to be the most prevalent type, HPV types 58, 52 and 59 are more prevalent than HPV18 in women with cervical cancer in the Sichuan area of China. BioMed Central 2008-07-22 /pmc/articles/PMC2490702/ /pubmed/18644159 http://dx.doi.org/10.1186/1471-2407-8-202 Text en Copyright © 2008 Wu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wu, En-qi
Zhang, Guo-nan
Yu, Xiang-hui
Ren, Yuan
Fan, Ying
Wu, Yong-ge
Kong, Wei
Zha, Xiao
Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China
title Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China
title_full Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China
title_fullStr Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China
title_full_unstemmed Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China
title_short Evaluation of high-risk Human papillomaviruses type distribution in cervical cancer in Sichuan province of China
title_sort evaluation of high-risk human papillomaviruses type distribution in cervical cancer in sichuan province of china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2490702/
https://www.ncbi.nlm.nih.gov/pubmed/18644159
http://dx.doi.org/10.1186/1471-2407-8-202
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