Development and validation of a DNA damage repair-related gene-based prediction model for the prognosis of lung adenocarcinoma.

ABSTRACT:

Background

Lung cancer is the leading cause of morbidity and mortality among all cancer types, with lung adenocarcinoma (LUAD) being the most prevalent subtype. DNA damage repair (DDR)-related genes are closely associated with cancer progression and treatment, with emerging evidence highlighting their correlation with tumor development. However, the relationship between LUAD prognosis and DDR-related genes remains unclear.

Methods

RNA sequencing (RNA-seq) data and clinical information were obtained from The Cancer Genome Atlas (TCGA) database. The GSE31210 dataset, utilized for external validation, was retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed DDR genes were identified, and a DDR-related prognostic model was established and validated

SUBMITTER: Qin C 

PROVIDER: S-EPMC10797339 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature