A novel immune-related RNA-binding proteins signature to predict survival and therapeutic responses in prostate cancer.

ABSTRACT:

Background

The present study aims to identify immune-related RBPs signature to predict prognosis and therapy response in prostate cancer.

Methods

Differentially expressed RBPs were compared and visualized using R packages. Immune-related RBPs were selected by Pearson correlation analysis. The prognostic immune-related RBPs were identified using the Kaplan-Meier method and LASSO regression. A multivariable Cox regression model was used to construct immune-related RBPs signature.

Results

We constructed a prognostic predictive risk model of prostate cancer containing ten immune-related RBP genes. We found that high-risk prostate cancer patients presented poorer prognosis, higher tumor immune cell infiltration, higher rates of genomic alterations, and were more sensitive

SUBMITTER: Wang Z 

PROVIDER: S-EPMC8830953 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature