{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16"],"submitter":["Li Z"],"pubmed_abstract":["<h4>Background</h4>Clear cell renal cell carcinoma (ccRCC) exhibits marked heterogeneity and variable benefit from immune checkpoint inhibitors (ICIs). Post-translational modifications (PTMs) regulate immune signaling and tumor behavior, yet PTM-informed biomarkers for ccRCC remain underexplored.<h4>Methods</h4>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. Prognostic value and independence were evaluated by time-dependent ROC, Kaplan-Meier, and multivariate Cox analyses. Tumor immune context was profiled b"],"journal":["Frontiers in immunology"],"pagination":["1707375"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12702869"],"repository":["biostudies-literature"],"pubmed_title":["Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC."],"pmcid":["PMC12702869"],"pubmed_authors":["Li X","Hu S","Li Z","Jiang S","Wang J"],"additional_accession":[]},"is_claimable":false,"name":"Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.","description":"<h4>Background</h4>Clear cell renal cell carcinoma (ccRCC) exhibits marked heterogeneity and variable benefit from immune checkpoint inhibitors (ICIs). Post-translational modifications (PTMs) regulate immune signaling and tumor behavior, yet PTM-informed biomarkers for ccRCC remain underexplored.<h4>Methods</h4>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. Prognostic value and independence were evaluated by time-dependent ROC, Kaplan-Meier, and multivariate Cox analyses. Tumor immune context was profiled b","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-06T04:19:26.927Z","creation":"2026-05-25T03:12:01.618Z"},"accession":"S-EPMC12702869","cross_references":{"pubmed":["41403935"],"doi":["10.3389/fimmu.2025.1707375"]}}