Comprehensive bioinformatics analysis for MEF2 family genes in gastric cancer.

ABSTRACT:

Background

MEF2 family was associated with the pathogenesis of cancers. The crucial roles of MEF2 family members in gastric cancer (GC) have been demonstrated. However, the underlying mechanisms remain unclear.

Methods

Our study profiles the variance of four MEF2 genes in GC from genomic, epigenomic, and transcriptome angles. Iterative weight gene co-expression network analysis (WGCNA) was applied to identify the MEF2-related module and hub genes. enrichment analysis was conducted for MEF2-related hub genes using Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG).

Results

the transcriptome level of MEF2 genes were dysregulated in GC patients. The overall copy number status for MEF2 genes is

SUBMITTER: Zhu H 

PROVIDER: S-EPMC9745365 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature