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.
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Authors thank USF research computing and the taxpayers of the State of Florida. This article is dedicated to William.
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Tu, Y.N., Tong, W.L., Yavorski, J.M. et al. Immunogenomics: A Negative Prostate Cancer Outcome Associated with TcR-γ/δ Recombinations. Cancer Microenvironment 11, 41–49 (2018). https://doi.org/10.1007/s12307-018-0204-6
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DOI: https://doi.org/10.1007/s12307-018-0204-6