Comprehensive analysis of telomere and aging-related signature for predicting prognosis and immunotherapy response in lung adenocarcinoma.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is a high-risk malignancy. Telomeres- (TRGs) and aging-related genes (ARGs) play an important role in cancer progression and prognosis. This study aimed to develop a novel prognostic model combined TRGs and ARGs signatures to predict the prognosis of patients with LUAD.

Methods

LUAD patient's sample data and clinical data were obtained from public databases. The prognostic model was constructed and evaluated using the least absolute shrinkage and selection operator (LASSO), multivariate Cox analysis, time-dependent receiver operating characteristic (ROC), and Kaplan-Meier (K-M) analysis. Immune cell infiltration levels were assessed using single-sample gene set enrichment analysis (ssGSEA). Antitumor drugs with significant correlations b

SUBMITTER: Ye Z 

PROVIDER: S-EPMC11702222 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature