A New HPV score System Predicts the Survival of Patients With Cervical Cancers

Persistent high-risk human papillomavirus (hrHPV) infection is confirmed as the major cause of cervical cancer. According to the HPV infection status, cervical cancer could be generalized as following three subgroups: HPV-negative, pure HPV-infection, and HPV-integration. Currently, the impact of HP...

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Autores principales:	Qunchao Hu, Yani Wang, Yuchen Zhang, Yanjun Ge, Yihua Yin, Haiyan Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	HPV status multi-omics cervical cancer HPV score prognosis Genetics QH426-470
Acceso en línea:	https://doaj.org/article/c314d14fc0e94aa8a909448bce06856a
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spelling	oai:doaj.org-article:c314d14fc0e94aa8a909448bce06856a2021-12-02T00:07:12ZA New HPV score System Predicts the Survival of Patients With Cervical Cancers1664-802110.3389/fgene.2021.747090https://doaj.org/article/c314d14fc0e94aa8a909448bce06856a2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.747090/fullhttps://doaj.org/toc/1664-8021Persistent high-risk human papillomavirus (hrHPV) infection is confirmed as the major cause of cervical cancer. According to the HPV infection status, cervical cancer could be generalized as following three subgroups: HPV-negative, pure HPV-infection, and HPV-integration. Currently, the impact of HPV status on cervical cancer prognosis remains under dispute. Therefore, we explored the potential correlation between HPV status and the clinical outcome of cervical cancer, by establishing a robust prognostic predicting model based on a cervical cancer cohort using The Cancer Genome Atlas (TCGA) database. We performed an iCluster algorithm incorporating DNA copy number variation, SNP, DNA methylation, mRNA expression, and miRNA expression profile together and classified the cohort into three clusters. According to defined clusters, we established an HPV score system by weighing resultant gene alterations through random forest and COX models. This prediction tool could help to identify cervical cancer prognosis through evaluating individual HPV infection status and subsequent genetic modification, which might provide insights into HPV-related gene driven cervical cancer treatment strategies, yet its predictive power and robustness need to be further verified with independent cohorts.Qunchao HuYani WangYuchen ZhangYanjun GeYihua YinHaiyan ZhuFrontiers Media S.A.articleHPV statusmulti-omicscervical cancerHPV scoreprognosisGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	HPV status multi-omics cervical cancer HPV score prognosis Genetics QH426-470
spellingShingle	HPV status multi-omics cervical cancer HPV score prognosis Genetics QH426-470 Qunchao Hu Yani Wang Yuchen Zhang Yanjun Ge Yihua Yin Haiyan Zhu A New HPV score System Predicts the Survival of Patients With Cervical Cancers
description	Persistent high-risk human papillomavirus (hrHPV) infection is confirmed as the major cause of cervical cancer. According to the HPV infection status, cervical cancer could be generalized as following three subgroups: HPV-negative, pure HPV-infection, and HPV-integration. Currently, the impact of HPV status on cervical cancer prognosis remains under dispute. Therefore, we explored the potential correlation between HPV status and the clinical outcome of cervical cancer, by establishing a robust prognostic predicting model based on a cervical cancer cohort using The Cancer Genome Atlas (TCGA) database. We performed an iCluster algorithm incorporating DNA copy number variation, SNP, DNA methylation, mRNA expression, and miRNA expression profile together and classified the cohort into three clusters. According to defined clusters, we established an HPV score system by weighing resultant gene alterations through random forest and COX models. This prediction tool could help to identify cervical cancer prognosis through evaluating individual HPV infection status and subsequent genetic modification, which might provide insights into HPV-related gene driven cervical cancer treatment strategies, yet its predictive power and robustness need to be further verified with independent cohorts.
format	article
author	Qunchao Hu Yani Wang Yuchen Zhang Yanjun Ge Yihua Yin Haiyan Zhu
author_facet	Qunchao Hu Yani Wang Yuchen Zhang Yanjun Ge Yihua Yin Haiyan Zhu
author_sort	Qunchao Hu
title	A New HPV score System Predicts the Survival of Patients With Cervical Cancers
title_short	A New HPV score System Predicts the Survival of Patients With Cervical Cancers
title_full	A New HPV score System Predicts the Survival of Patients With Cervical Cancers
title_fullStr	A New HPV score System Predicts the Survival of Patients With Cervical Cancers
title_full_unstemmed	A New HPV score System Predicts the Survival of Patients With Cervical Cancers
title_sort	new hpv score system predicts the survival of patients with cervical cancers
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/c314d14fc0e94aa8a909448bce06856a
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A New HPV score System Predicts the Survival of Patients With Cervical Cancers

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