Development and Validation of an Immune Microenvironment Based Prognostic Signature and Signal Pathways in Prostate Cancer

Abstract

Background The study of the PCa immune microenvironment has brought new opportunities for the clinical diagnosis and treatment of PCa, but the current study has failed to obtain satisfactory results. We aim to develop a generalized, individualized immune prognostic signature that can improve the survival rate of patients. Methods We collected a total of 591 sample data from the TCGA and GEO cohorts, and evaluated the abundance and distribution of immune cell members in the mixed cell population in the gene expression matrix by CIBERSORT, ESTIMATE, ssGSEA, and other methods. Calculate the TMB value of the mutant gene to evaluate the reliability of PCa for immunotherapy. Besides, the genes related to the immune microenvironment and mutation load of PCa are obtained, and the target genes are obtained by the intersection with the immune-related genes in the ImmPort database. And perform pan-cancer analysis of