Identification of anoikis-related genes in heart failure: bioinformatics and experimental validation.

ABSTRACT:

Background

Heart failure (HF) is a common clinical syndrome caused by ventricular dysfunction and one of the leading causes of mortality worldwide. Previous studies have suggested that anoikis is relevant to HF. This study aimed to identify hub genes associated with anoikis that may offer therapeutic targets for HF.

Materials and methods

Gene expression data for GSE36074 were obtained from the Gene Expression Omnibus (GEO) and anoikis-related genes (ARGs) were extracted from GeneCards. GEO2R was used to screen for differentially expressed genes (DEGs), then by overlapping DEGs with ARGs, differentially expressed ARGs (DEARGs) were screened. The biological functions of the DEARGs were determined using DAVID. Subsequently, two machine learning (ML) algorithms were employed to

SUBMITTER: Zhang L 

PROVIDER: S-EPMC12357471 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature