Machine learning-based identification of cuproptosis-related markers and immune infiltration in severe community-acquired pneumonia.

ABSTRACT:

Background

Severe community-acquired pneumonia (SCAP) is one of the world's most common diseases and a major etiology of acute respiratory distress syndrome (ARDS). Cuproptosis is a novel form of regulated cell death that can occur in various diseases.

Methods

Our study explored the degree of immune cell infiltration during the onset of severe CAP and identified potential biomarkers related to cuproptosis. Gene expression matrix was obtained from GEO database indexed GSE196399. Three machine learning algorithms were applied: The least absolute shrinkage and selection operator (LASSO), the random forest, and the support vector machine-recursive feature elimination (SVM-RFE). Immune cell infiltration was quantified by single-sample gene set enrichment analysis (ssGSEA) scoring

SUBMITTER: Chen S 

PROVIDER: S-EPMC10363779 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature