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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

28 Apr 2025

Abstract excerpt

Introduction: The 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. Methods: Utilizing DNA methylation, RNA-sequencing, and common variant data from 116 EC samples in The Cancer Genome Atlas (TCGA), differentially expressed genes (DEGs) and...

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Share to Endometrial and Cervical Cancer Treatments
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PMID: 40357366
DOI: 10.3389/fgene.2025.1569122

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