Identification of anoikis-related biomarkers linking immune infiltration to acute myocardial infarction.

ABSTRACT: This study was designed to identify new biomarkers for early diagnosis of acute myocardial infarction (AMI). GSE66360 and GSE48060 datasets were downloaded from the Gene Expression Omnibus (GEO) database. The "limma" tool was used to screen differentially expressed genes (DEGs). A total of 557 anoikis-related genes (ARGs) were obtained from the GeneCard database. Differentially expressed ARGs (DEARGs) were obtained by intersecting DEGs with ARGs. The least absolute shrinkage and selection operator (LASSO), support vector machine (SVM), and Random Forest (RF) were used to screen the hub DEARGs. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to determine the expression of hub DEARGs. A total of 21 DEARGs were obtained, all of which were up-regulated in AMI samples. Funct

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC12801198 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature