A novel cervix carcinoma biomarker: Pathological-epigenomics, integrated analysis of MethylMix algorithm and pathology for predicting response to cancer immunotherapy

A novel cervix carcinoma biomarker: Pathological-epigenomics, integrated analysis of MethylMix algorithm and pathology for predicting response to cancer immunotherapy

Herein, A non-invasive pathomics approach was developed to reveal the methylation status in patients with cervical squamous cell carcinoma and predict clinical outcomes and treatment response. Using the MethylMix algorithm, 14 methylation-driven genes were selected for further analysis. We confirmed...

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Bibliographic Details
Main Authors:	Yu-Chong Yu, Tian-Ming Shi, Sheng-Lan Gu, Yu-Hong Li, Xiao-Ming Yang, Qiong Fan, Yu-Dong Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-11-01
Series:	Frontiers in Oncology
Subjects:	MethylMix pathomics cervical squamous cell carcinoma personal treatment immunotherapy
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2022.1053800/full

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