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Dataset Information

Ferroptosis genes and ST-segment elevation myocardial infarction outcomes: A predictive signature.


ABSTRACT:

Objective

The aim of this paper is to discover differentially expressed genes related to ferroptosis (DEFRGs) in patients with ST-segment elevation myocardial infarction (STEMI) and to construct a reliable prognostic signature that incorporates key DEFRGs and easily accessible clinical factors.

Methods

We did a systematic review of Gene Expression Omnibus datasets and picked datasets SE49925, GSE60993, and GSE61144 for analysis. We applied GEO2R to find DEFRGs and overlapped them among the picked datasets. We performed functional enrichment analysis to explore their biological functions. We built an optimal model with least absolute shrinkage and selection operator (LASSO) penalized Cox proportional hazards regression. We tested the clinical value of the signature with survi

SUBMITTER: Wang XJ 

PROVIDER: S-EPMC11750525 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature