Tumor immune microenvironment-based classifications of bladder cancer for enhancing the response rate of immunotherapy.

ABSTRACT: Immunotherapy is a potential way to save the lives of patients with bladder cancer, but it only benefits approximately 20% of them. A total of 4,028 bladder cancer patients were collected for this study. Unsupervised non-negative matrix factorization and the nearest template prediction algorithms were employed for the classification. We identified the immune and non-immune classes from The Cancer Genome Atlas Bladder Urothelial Carcinoma (TCGA-BLCA) training cohort. The 150 most differentially expressed genes between these two classes were extracted, and the classification reappeared in 20 validation cohorts. For the activated and exhausted subgroups, a stromal activation signature was assessed by the NTP algorithm. Patients in the immune class showed highly enriched signatures of immunocy

SUBMITTER: Meng J 

PROVIDER: S-EPMC7900642 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature