biostudies-literatureUnknown16(1)Feng S<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>Seven prognostic ARGs (RHPNDiscover oncology2293https://www.ebi.ac.uk/biostudies/studies/S-EPMC12748445biostudies-literatureA Mendelian randomization-based risk model using aging-related genes for prognosis in lung adenocarcinoma.PMC12748445Liu XYang HLi HLiu ZHuang JCai JFeng SWang ZfalseA Mendelian randomization-based risk model using aging-related genes for prognosis in lung adenocarcinoma.<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>Seven prognostic ARGs (RHPN2025-01-01T00:00:00Z2025 Nov2026-06-06T09:39:36.641Z2026-05-28T03:12:00.033ZS-EPMC127484454128411610.1007/s12672-025-04101-x