| Literature DB >> 29357011 |
Yaping N Tu1, Wei Lue Tong1, John M Yavorski1, George Blanck2.
Abstract
We developed a scripted algorithm, based on previous, earlier editions of the algorithm, to mine prostate cancer exome files for T-cell receptor (TcR) recombination reads: Reads representing TcR gene recombinations were identified in 497 prostate cancer exome files from the cancer genome atlas (TCGA). As has been reported for melanoma, co-detection of productive TcR-α and TcR-β recombination reads correlated with an RNA expression signature representing T-cell exhaustion, particularly with high RNA levels for PD-1 and PD-L1, in comparison to several different control sets of samples. Co-detection of TcR-α and TcR-β recombination reads also correlated with high level expression of genes representing antigen presenting functions, further supporting the conclusion that co-detection of TcR-α and TcR-β recombination reads represents an immunologically relevant microenvironment. Finally, detection of unproductive TcR-δ recombinations, and unproductive and productive TcR-γ recombinations, strongly correlated with, and may represent a convenient biomarker for a poor clinical outcome. These results underscore the value of the genomics-based assessment of unproductive TcR recombinations and raise questions about the impact of tumor microenvironment lymphocytes in the absence of antigenicity.Entities:
Keywords: Antigen processing; Immune checkpoint proteins; Prostate adenocarcinoma; T-cell receptor recombinations; The cancer genome atlas; Tumor specimen exomes
Year: 2018 PMID: 29357011 PMCID: PMC6008264 DOI: 10.1007/s12307-018-0204-6
Source DB: PubMed Journal: Cancer Microenviron ISSN: 1875-2284