Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence

Integrative analysis of DNA methylation, RNA sequencing, and genomic variants in the cancer genome atlas (TCGA) to predict endometrial cancer recurrence

IntroductionThe prognosis within each subtype varies due to histological and molecular factors. This study leverages omics datasets and machine learning to identify biomarkers associated with EC recurrence in different molecular subtypes.MethodsUtilizing DNA methylation, RNA-sequencing, and common v...

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Main Authors: Jin Hwa Hong, Yung Taek Ouh, Sohyeon Jeong, Yoonji Oh, Hyun Woong Cho, Jae Kwan Lee, Hayeon Kim, Chungyeul Kim, Sanghyun Roh, Eun Na Kim, Yikyeong Chun, Jeong-An Gim
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Genetics
Subjects:
endometrial cancer
machine-learning
recurrence
the cancer genome atlas
multiomics analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2025.1569122/full
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https://www.frontiersin.org/articles/10.3389/fgene.2025.1569122/full

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