Integration of Transcriptome and Epigenome to Identify and Develop Prognostic Markers for Ovarian Cancer.

ABSTRACT: DNA methylation is a widely researched epigenetic modification. It is associated with the occurrence and development of cancer and has helped evaluate patients' prognoses. However, most existing DNA methylation prognosis models have not simultaneously considered the changes of the downstream transcriptome. Methods. The RNA-Sequencing data and DNA methylation omics data of ovarian cancer patients were downloaded from The Cancer Genome Atlas (TCGA) database. The Consensus Cluster Plus algorithm was used to construct the methylated molecular subtypes of the ovary. Lasso regression was employed to build a multi-gene signature. An independent data set was applied to verify the prognostic value of the signature. The Gene Set Variation Analysis (GSVA) was used to carry out the enrichment a

SUBMITTER: Xu C 

PROVIDER: S-EPMC9448543 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature