biostudies-literatureUnknown20(2)Wang YThe present study aimed to analyse the relationship between tumour-infiltrating immune cells (TIICs) and the prognosis of bladder cancer (BC). In the present study, an established computational method (CIBERSORT) was used to analyse the gene expression profile of BC from 409 patients to infer the number of infiltrating immune cells among 22 immune cell subsets. The relationship between each cell type and overall survival (OS) was further analysed. Single-sample GSEA and ESTIMATE algorithms were performed to evaluate the composition of immune microenvironment in each immune cluster. A significant difference in immune cell infiltration between BC and bladder tissue was observed. Increased natural killer and CD8⁺ T cell infiltration was associated with longer OS, whereas a higher pOncology letters1677-1684https://www.ebi.ac.uk/biostudies/studies/S-EPMC7377040biostudies-literaturePrognostic value of immune cell infiltration in bladder cancer: A gene expression-based study.PMC7377040Zhou MWang YLiu ZCBa HJDeng XBfalsePrognostic value of immune cell infiltration in bladder cancer: A gene expression-based study.The present study aimed to analyse the relationship between tumour-infiltrating immune cells (TIICs) and the prognosis of bladder cancer (BC). In the present study, an established computational method (CIBERSORT) was used to analyse the gene expression profile of BC from 409 patients to infer the number of infiltrating immune cells among 22 immune cell subsets. The relationship between each cell type and overall survival (OS) was further analysed. Single-sample GSEA and ESTIMATE algorithms were performed to evaluate the composition of immune microenvironment in each immune cluster. A significant difference in immune cell infiltration between BC and bladder tissue was observed. Increased natural killer and CD8⁺ T cell infiltration was associated with longer OS, whereas a higher p2020-01-01T00:00:00Z2020 Aug2025-04-19T01:01:17.566Z2025-04-07T11:57:39.754ZS-EPMC73770403272441010.3892/ol.2020.11750