Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment

Molecular classification of human papillomavirus-positive cervical cancers based on immune signature enrichment

BackgroundHuman papillomavirus-positive (HPV+) cervical cancers are highly heterogeneous in clinical and molecular characteristics. Thus, an investigation into their heterogeneous immunological profiles is meaningful in providing both biological and clinical insights into this disease.MethodsBased o...

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Bibliographic Details
Main Authors: Guanghui Song, Jiangti Luo, Shaohan Zou, Fang Lou, Tianfang Zhang, Xiaojun Zhu, Jianhua Yang, Xiaosheng Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Public Health
Subjects:
human papillomavirus-positive cervical cancer
immunological classification
machine learning
multi-omics analysis
immunotherapy
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.979933/full

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