Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China
Abstract Background Persistent infection with high-risk human papillomavirus (HPV) is a significant risk factor for cervical cancer. HPV typing and cytology are conducted in women of appropriate age to assess the risk of cervical lesions and to guide the need for further diagnostic procedures such a...
Saved in:
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Women's Health |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12905-025-03562-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832585465959546880 |
---|---|
author | Yaling Xiao Rangjiao Liu Shaobo Wang Yuxiang Wang Weimin Miao Meiwei Chen Xiaowen Liu Yan Chen Yongchun Wen Zhongping Deng Lizhong Dai Zenghui Mao Jun He |
author_facet | Yaling Xiao Rangjiao Liu Shaobo Wang Yuxiang Wang Weimin Miao Meiwei Chen Xiaowen Liu Yan Chen Yongchun Wen Zhongping Deng Lizhong Dai Zenghui Mao Jun He |
author_sort | Yaling Xiao |
collection | DOAJ |
description | Abstract Background Persistent infection with high-risk human papillomavirus (HPV) is a significant risk factor for cervical cancer. HPV typing and cytology are conducted in women of appropriate age to assess the risk of cervical lesions and to guide the need for further diagnostic procedures such as colposcopy, cervical biopsy, or treatment. This article explores methods to predict the risks of high-grade precancerous cervical lesions based on high-risk HPV typing. Methods We conducted a retrospective analysis of HPV typing data from 158,565 women, including 19,707 who underwent ThinPrep cytologic testing (TCT), 7,539 who had colposcopy examinations, and 4,762 who had biopsies. We evaluated the sensitivity, specificity, and risk parameters of high-grade lesions associated with high-risk HPV types. Results (1) The overall prevalence of HPV infection was 17.89%, with the most prevalent types being HPV52 (4.44%), HPV58 (2.10%), HPV53 (1.96%), HPV81 (1.85%), HPV42 (1.75%), and HPV16 (1.44%). (2) The sensitivity and specificity of detecting high-grade lesions in TCT, colposcopy, and biopsy, based on high-risk HPV typing, demonstrated a strong linear correlation with the infection rate of each type. (3) HPV16 was confirmed to have a higher risk of CIN2 + in biopsies using a self-defined risk parameter. (4) The top five HPV types with the highest PPVs and pathogenicity risks in biopsies were HPV45, HPV16, HPV58, HPV33, and HPV18. Conclusion In Changsha, China, HPV52, HPV58, and HPV53 were the most prevalent and contributed significantly to high-grade lesions. After adjusting for infection rates, a self-defined risk parameter was proposed as a measure of the intrinsic risks of high-grade lesions associated with high-risk HPV types. Focused monitoring of prevalent high-risk HPV types such as HPV45, HPV16, HPV58, HPV33, and HPV18, which show the highest pathogenicity risks, is recommended in our region. |
format | Article |
id | doaj-art-f4afae28ab3341fcb7ceeb8116763b04 |
institution | Kabale University |
issn | 1472-6874 |
language | English |
publishDate | 2025-01-01 |
publisher | BMC |
record_format | Article |
series | BMC Women's Health |
spelling | doaj-art-f4afae28ab3341fcb7ceeb8116763b042025-01-26T12:50:38ZengBMCBMC Women's Health1472-68742025-01-012511810.1186/s12905-025-03562-0Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha ChinaYaling Xiao0Rangjiao Liu1Shaobo Wang2Yuxiang Wang3Weimin Miao4Meiwei Chen5Xiaowen Liu6Yan Chen7Yongchun Wen8Zhongping Deng9Lizhong Dai10Zenghui Mao11Jun He12Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and ControlSanway Clinical LaboratorySanway Clinical LaboratorySanway Clinical LaboratorySansure Biotech IncorporationSanway Clinical LaboratoryHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and ControlHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and ControlHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and ControlSansure Biotech IncorporationSansure Biotech IncorporationHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and ControlHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and ControlAbstract Background Persistent infection with high-risk human papillomavirus (HPV) is a significant risk factor for cervical cancer. HPV typing and cytology are conducted in women of appropriate age to assess the risk of cervical lesions and to guide the need for further diagnostic procedures such as colposcopy, cervical biopsy, or treatment. This article explores methods to predict the risks of high-grade precancerous cervical lesions based on high-risk HPV typing. Methods We conducted a retrospective analysis of HPV typing data from 158,565 women, including 19,707 who underwent ThinPrep cytologic testing (TCT), 7,539 who had colposcopy examinations, and 4,762 who had biopsies. We evaluated the sensitivity, specificity, and risk parameters of high-grade lesions associated with high-risk HPV types. Results (1) The overall prevalence of HPV infection was 17.89%, with the most prevalent types being HPV52 (4.44%), HPV58 (2.10%), HPV53 (1.96%), HPV81 (1.85%), HPV42 (1.75%), and HPV16 (1.44%). (2) The sensitivity and specificity of detecting high-grade lesions in TCT, colposcopy, and biopsy, based on high-risk HPV typing, demonstrated a strong linear correlation with the infection rate of each type. (3) HPV16 was confirmed to have a higher risk of CIN2 + in biopsies using a self-defined risk parameter. (4) The top five HPV types with the highest PPVs and pathogenicity risks in biopsies were HPV45, HPV16, HPV58, HPV33, and HPV18. Conclusion In Changsha, China, HPV52, HPV58, and HPV53 were the most prevalent and contributed significantly to high-grade lesions. After adjusting for infection rates, a self-defined risk parameter was proposed as a measure of the intrinsic risks of high-grade lesions associated with high-risk HPV types. Focused monitoring of prevalent high-risk HPV types such as HPV45, HPV16, HPV58, HPV33, and HPV18, which show the highest pathogenicity risks, is recommended in our region.https://doi.org/10.1186/s12905-025-03562-0HPV typingTCTColposcopyBiopsyCervical lesionsPathogenicity risk |
spellingShingle | Yaling Xiao Rangjiao Liu Shaobo Wang Yuxiang Wang Weimin Miao Meiwei Chen Xiaowen Liu Yan Chen Yongchun Wen Zhongping Deng Lizhong Dai Zenghui Mao Jun He Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China BMC Women's Health HPV typing TCT Colposcopy Biopsy Cervical lesions Pathogenicity risk |
title | Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China |
title_full | Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China |
title_fullStr | Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China |
title_full_unstemmed | Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China |
title_short | Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China |
title_sort | predicting the risk of high grade precancerous cervical lesions based on high risk hpv typing in changsha china |
topic | HPV typing TCT Colposcopy Biopsy Cervical lesions Pathogenicity risk |
url | https://doi.org/10.1186/s12905-025-03562-0 |
work_keys_str_mv | AT yalingxiao predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT rangjiaoliu predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT shaobowang predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT yuxiangwang predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT weiminmiao predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT meiweichen predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT xiaowenliu predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT yanchen predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT yongchunwen predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT zhongpingdeng predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT lizhongdai predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT zenghuimao predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina AT junhe predictingtheriskofhighgradeprecancerouscervicallesionsbasedonhighriskhpvtypinginchangshachina |