Ontology highlight
ABSTRACT: Background
This study aimed to identify differentially expressed oxidative stress-related genes (DEOSRGs) in ST-elevation MI (STEMI) patients and examine their connection to clinical outcomes.Methods
We conducted a systematic review of Gene Expression Omnibus datasets, selecting GSE49925, GSE60993 and GSE61144 for analysis. DEOSRGs were identified using GEO2R2, overlapping across the selected datasets. Functional enrichment analysis was performed to understand the biological roles of the DEOSRGs. An optimal model was constructed using Least Absolute Shrinkage and Selection Operator penalised Cox proportional hazards regression. The clinical utility of the signature was assessed through survival analysis, receiver operating characteristic (ROC) curve and decision curve analy
SUBMITTER: Sun SW
PROVIDER: S-EPMC12060176 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature