Immune landscape of human prostate cancer: immune evasion mechanisms and biomarkers for personalized immunotherapy.

ABSTRACT:

Background

Despite recent advances in cancer immunotherapy, the efficacy of these therapies for the treatment of human prostate cancer patients is low due to the complex immune evasion mechanisms (IEMs) of prostate cancer and the lack of predictive biomarkers for patient responses.

Methods

To understand the IEMs in prostate cancer and apply such understanding to the design of personalized immunotherapies, we analyzed the RNA-seq data for prostate adenocarcinoma from The Cancer Genome Atlas (TCGA) using a combination of biclustering, differential expression analysis, immune cell typing, and machine learning methods.

Results

The integrative analysis identified eight clusters with different IEM combinations and predictive biomarkers for each immune evasion cluster. Prost

SUBMITTER: Bou-Dargham MJ 

PROVIDER: S-EPMC7302357 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature