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HPV-specific risk assessment of cervical cytological abnormalities

BACKGROUND: Cytology and HPV genotype screening play an important role in cervical cancer detection. Whether multiple HPV genotyping can predict cytological lesions remains to be further studied. METHODS: Two thousand two hundred twenty-four females were analyzed for cytology and HPV genotypes test....

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Autores principales: Zhong, Guanglei, Wang, Yuhan, Xie, Qingsheng, Lin, Rongchun, Yao, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383360/
https://www.ncbi.nlm.nih.gov/pubmed/34429079
http://dx.doi.org/10.1186/s12885-021-08703-w
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author Zhong, Guanglei
Wang, Yuhan
Xie, Qingsheng
Lin, Rongchun
Yao, Tingting
author_facet Zhong, Guanglei
Wang, Yuhan
Xie, Qingsheng
Lin, Rongchun
Yao, Tingting
author_sort Zhong, Guanglei
collection PubMed
description BACKGROUND: Cytology and HPV genotype screening play an important role in cervical cancer detection. Whether multiple HPV genotyping can predict cytological lesions remains to be further studied. METHODS: Two thousand two hundred twenty-four females were analyzed for cytology and HPV genotypes test. The possibility of predicting cytological lesions by HPV genotypes test was evaluated by multivariate logistic regression and area under the receiver operator characteristic curve (AUC). RESULT: Abnormal cytological results were found in 479 participants. A total of 688 patients were detected with HPV infection, 619 with HR-HPV infection and 112 with LR-HRV infection. HPV-52 was found to be the most common type among these patients, and a relatively higher risk of cervical lesions was found in HPV positive females. HPV-16, 31, 33 and 58 were found to have significantly higher infection rates in patients with HSIL and higher lesions. The prediction model was developed based on age and HPV-specific genotypes, with the AUC of 0.73 for cytological abnormalities and 0.82 for HSIL and higher lesions. CONCLUSION: HPV-16, 31, 33 and 58 infection are significant risk factors for cervical lesions. Combined HPV genotypes test can effectively predict cytological abnormalities.
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spelling pubmed-83833602021-08-25 HPV-specific risk assessment of cervical cytological abnormalities Zhong, Guanglei Wang, Yuhan Xie, Qingsheng Lin, Rongchun Yao, Tingting BMC Cancer Research BACKGROUND: Cytology and HPV genotype screening play an important role in cervical cancer detection. Whether multiple HPV genotyping can predict cytological lesions remains to be further studied. METHODS: Two thousand two hundred twenty-four females were analyzed for cytology and HPV genotypes test. The possibility of predicting cytological lesions by HPV genotypes test was evaluated by multivariate logistic regression and area under the receiver operator characteristic curve (AUC). RESULT: Abnormal cytological results were found in 479 participants. A total of 688 patients were detected with HPV infection, 619 with HR-HPV infection and 112 with LR-HRV infection. HPV-52 was found to be the most common type among these patients, and a relatively higher risk of cervical lesions was found in HPV positive females. HPV-16, 31, 33 and 58 were found to have significantly higher infection rates in patients with HSIL and higher lesions. The prediction model was developed based on age and HPV-specific genotypes, with the AUC of 0.73 for cytological abnormalities and 0.82 for HSIL and higher lesions. CONCLUSION: HPV-16, 31, 33 and 58 infection are significant risk factors for cervical lesions. Combined HPV genotypes test can effectively predict cytological abnormalities. BioMed Central 2021-08-24 /pmc/articles/PMC8383360/ /pubmed/34429079 http://dx.doi.org/10.1186/s12885-021-08703-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhong, Guanglei
Wang, Yuhan
Xie, Qingsheng
Lin, Rongchun
Yao, Tingting
HPV-specific risk assessment of cervical cytological abnormalities
title HPV-specific risk assessment of cervical cytological abnormalities
title_full HPV-specific risk assessment of cervical cytological abnormalities
title_fullStr HPV-specific risk assessment of cervical cytological abnormalities
title_full_unstemmed HPV-specific risk assessment of cervical cytological abnormalities
title_short HPV-specific risk assessment of cervical cytological abnormalities
title_sort hpv-specific risk assessment of cervical cytological abnormalities
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383360/
https://www.ncbi.nlm.nih.gov/pubmed/34429079
http://dx.doi.org/10.1186/s12885-021-08703-w
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