A Mendelian randomization-based risk model using aging-related genes for prognosis in lung adenocarcinoma.

ABSTRACT:

Background

Aging-related genes (ARGs) are prognostic markers in cancers, but their role in lung adenocarcinoma (LUAD) remains unclear. Investigating ARGs in LUAD may provide valuable insights for clinical diagnosis and treatment.

Methods

Gene expression profiles from TCGA and GEO datasets were analyzed to identify ARG-related genes. Univariate Cox regression and LASSO analysis were used to construct a prognostic risk model. Kaplan-Meier survival analysis, ROC curves, and clinicopathological features validated its predictive accuracy. Immune cell infiltration and tumor microenvironment were assessed using CIBERSORT and ESTIMATE. RT-qPCR was used to validate the differential expression of key genes in LUAD and adjacent normal tissues.

Results

Seven prognostic ARGs (RHPN

SUBMITTER: Feng S 

PROVIDER: S-EPMC12748445 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature