Hypoxia-associated genes predicting future risk of myocardial infarction: a GEO database-based study.

ABSTRACT:

Background

Patients with unstable angina (UA) are prone to myocardial infarction (MI) after an attack, yet the altered molecular expression profile therein remains unclear. The current work aims to identify the characteristic hypoxia-related genes associated with UA/MI and to develop a predictive model of hypoxia-related genes for the progression of UA to MI.

Methods and results

Gene expression profiles were obtained from the GEO database. Then, differential expression analysis and the WGCNA method were performed to select characteristic genes related to hypoxia. Subsequently, all 10 hypoxia-related genes were screened using the Lasso regression model and a classification model was established. The area under the ROC curve of 1 shows its excellent classification performance

SUBMITTER: Li S 

PROVIDER: S-EPMC10351911 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature