Identification of a Novel Tumor Microenvironment Prognostic Signature for Bladder Urothelial Carcinoma.

ABSTRACT:

Background

The tumor microenvironment (TME) regulates the proliferation and metastasis of solid tumors and the effectiveness of immunotherapy against them. We investigated the prognostic role of TME-related genes based on transcriptomic data of bladder urothelial carcinoma (BLCA) and formulated a prediction model of TME-related signatures.

Methods

Molecular subtypes were identified using the non-negative matrix factorization (NMF) algorithm based on TME-related genes from the TCGA database. TME-related genes with prognostic significance were screened with univariate Cox regression analysis and lasso regression. Nomogram was developed based on risk genes. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used for inner and outer validation o

SUBMITTER: Xu C 

PROVIDER: S-EPMC8921452 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature