An innovative risk index based on neutrophils and macrophages can effectively predict prognosis and immunotherapy response in patients with muscle-invasive bladder cancer.

ABSTRACT:

Background

This study aimed to establish an innovative prognostic risk index based on tumor-infiltrating immune cells (TIICs) for patients with muscle-invasive bladder cancer (MIBC).

Methods

We used the CIBERSORT algorithm to calculate the abundance of immune cells in MIBC samples from the The Cancer Genome Atlas (TCGA) database. Univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression analysis, and stepwise regression analysis were used to identify the included immune cells. Then, we constructed the risk index based on these cells through multivariate Cox regression analysis. By the risk index formula, we obtained the risk score of each patient and divided the patients into high-risk and low-risk groups. Kaplan-Meier (K-M) curve

SUBMITTER: Zhang X 

PROVIDER: S-EPMC10080466 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature