Identification of tumor microenvironment-related signature for predicting prognosis and immunotherapy response in patients with bladder cancer.

ABSTRACT: The tumor microenvironment (TME) not only provides fertile soil for tumor growth and development but also widely involves immune evasion as well as the resistance towards therapeutic response. Accumulating interest has been attracted from the biological function of TME to its effects on patient outcomes and treatment efficacy. However, the relationship between the TME-related gene expression profiles and the prognosis of bladder cancer (BLCA) remains unclear. The TME-related genes expression data of BLCA were collected from The Cancer Genome Atlas (TCGA) database. NFM algorithm was used to identify the distinct molecular pattern based on the significantly different TME-related genes. LASSO regression and Cox regression analyses were conducted to identify TME-related gene markers related to

SUBMITTER: Yao Z 

PROVIDER: S-EPMC9485450 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature