A novel cuproptosis-related signature predicts prognosis and immunotherapy efficacy in lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is the leading histological subtype of lung cancer worldwide, causing high annual mortality. Tsvetkov et al. recently found a new form of regulated cell death, termed cuproptosis. The prognostic value of cuproptosis-related gene signature in LUAD remains uncertain.

Methods

A training cohort is identified by the TCGA-LUAD dataset, whereas validation cohorts one and two are identified by GSE72094 and GSE68465, respectively. GeneCard and GSEA were used to extract genes related to cuproptosis. Cox regression, Kaplan-Meier regression, and LASSO regression were used to construct a gene signature. The model's applicability was evaluated by Kaplan-Meier estimators, Cox models, ROC, and tAUC across two independent validation cohorts. We examined

SUBMITTER: Cui Y 

PROVIDER: S-EPMC10331680 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature