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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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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Genetics
Assuntos:
endometrial cancer
machine-learning
recurrence
the cancer genome atlas
multiomics analysis
Acceso en liña:https://www.frontiersin.org/articles/10.3389/fgene.2025.1569122/full
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