{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["He Z"],"pubmed_abstract":["Tumor-infiltrating lymphocyte (TIL) is a class of cells with important immune functions and plays a crucial role in bladder cancer (BCa). Several studies have shown the clinical significance of TIL in predicting the prognosis and immunotherapy efficacy. TIL-related gene module was screened utilizing weighted gene coexpression network analysis. We screened eight TIL-related genes utilizing univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and multivariate Cox regression analysis. Then, we established a TIL-related signature model containing the eight selected genes and subsequently classified all patients into two groups, that is, the high-risk as well as low-risk groups. Gene mutation status, prognosis, immune cell infiltra"],"journal":["Frontiers in immunology"],"pagination":["973974"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9540212"],"repository":["biostudies-literature"],"pubmed_title":["Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA."],"pmcid":["PMC9540212"],"pubmed_authors":["Li H","Luan T","Li C","Huang Y","He Z","Chen Z","Gu J","Wang J","Luo E","Ding M"],"additional_accession":[]},"is_claimable":false,"name":"Comprehensive analyses of a tumor-infiltrating lymphocytes-related gene signature regarding the prognosis and immunologic features for immunotherapy in bladder cancer on the basis of WGCNA.","description":"Tumor-infiltrating lymphocyte (TIL) is a class of cells with important immune functions and plays a crucial role in bladder cancer (BCa). Several studies have shown the clinical significance of TIL in predicting the prognosis and immunotherapy efficacy. TIL-related gene module was screened utilizing weighted gene coexpression network analysis. We screened eight TIL-related genes utilizing univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and multivariate Cox regression analysis. Then, we established a TIL-related signature model containing the eight selected genes and subsequently classified all patients into two groups, that is, the high-risk as well as low-risk groups. Gene mutation status, prognosis, immune cell infiltra","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2026-04-08T18:01:40.102Z","creation":"2025-02-19T01:28:03.59Z"},"accession":"S-EPMC9540212","cross_references":{"pubmed":["36211333"],"doi":["10.3389/fimmu.2022.973974"]}}