Oxidative stress gene signature construction to identify subtypes and prognosis of patients with lung adenocarcinoma.

ABSTRACT:

Background

Although oxidative stress and malignancies are intimately connected, it is unknown how lung adenocarcinoma (LUAD) is affected by oxidative stress response-related genes (OSRGs).Our goal in this work was to create a genetic signature based on OSRGs that might both predict prognosis and hint to potential treatment options for LUAD.

Methods

Clinicopathological and transcriptome information on LUAD patients was obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A model for predicting risk was created using LASSO regression. The TCGA, GSE72094, and GSE41271 cohorts all demonstrated the risk model's prediction ability. Immune cell infiltration was measured using the CIBERSORT method, and the TIDE platform was implemented to evaluat

SUBMITTER: Li L 

PROVIDER: S-EPMC11619975 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature