Identification and validation of selenium metabolism-related genes in lung adenocarcinoma prognosis using bioinformatics analysis.

ABSTRACT:

Background

The disruption of selenium metabolism has been associated with tumor progression. However, the prognostic significance and underlying molecular mechanisms of selenium metabolism in lung adenocarcinoma (LUAD) remain inadequately understood. This study primarily aimed to identify and validate prognostic genes related to selenium metabolism in LUAD patients.

Methods

Transcriptomic datasets from patients diagnosed with LUAD were meticulously analyzed to identify differentially expressed genes associated with selenium metabolism. The genes selected for the prognostic risk model were determined through various analyses, including differential gene expression assessment, univariate and multivariate Cox proportional hazards regression analyses, as well as other relevant a

SUBMITTER: Chen Y 

PROVIDER: S-EPMC12571454 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature