{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Feng S"],"pubmed_abstract":["<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 (RHPN"],"journal":["Discover oncology"],"pagination":["2293"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12748445"],"repository":["biostudies-literature"],"pubmed_title":["A Mendelian randomization-based risk model using aging-related genes for prognosis in lung adenocarcinoma."],"pmcid":["PMC12748445"],"pubmed_authors":["Liu X","Yang H","Li H","Liu Z","Huang J","Cai J","Feng S","Wang Z"],"additional_accession":[]},"is_claimable":false,"name":"A Mendelian randomization-based risk model using aging-related genes for prognosis in lung adenocarcinoma.","description":"<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 (RHPN","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Nov","modification":"2026-06-06T09:39:36.641Z","creation":"2026-05-28T03:12:00.033Z"},"accession":"S-EPMC12748445","cross_references":{"pubmed":["41284116"],"doi":["10.1007/s12672-025-04101-x"]}}