Assessing Microenvironment Immunogenicity Using Tumor Specimen Exomes: Co-detection of TcR-α/β V(D)J Recombinations Correlates with PD-1Expression
Poster Dec 12, 2017
Yaping N. Tu, Wei Lue Tong, Mohammad D. Samy, John M. Yavorski, Minjung Kim, George Blanck
T-cell receptor (TcR) recombinations can be recovered from tumor specimen, whole exome (WXS) files. However, it is not yet clear how these recombinations represent lymphocytes or an anti-tumor immune response. Here we report the identification of productive TcR-β recombinations in WXS files representing primary and metastatic melanoma. The recombinations are identifiable in about 20% of the cancer genome atlas melanoma samples. This frequency of detection is lower than the frequency of TcR-α VJ recombinations, consistent with the occurrence of biallelic TcR-α recombinations and possibly consistent with fact that only one junctional recombination is required for TcR-α whereas two recombinations are required to form a TcR-β gene. Nevertheless, the ratio of productive TcR-β to unproductive TcR-β samples, in comparison to the ratio of productive to unproductive TcR-α or TcR-γ positive-samples, is very high. This result indicates that detection of a productive TcR-β VDJ recombination represents a comparatively high standard for potential antigen binding capacity when employing a tumor specimen exome file for the assessment. Additionally, PD-1 expression and antigen presentation functions correlated with the co-detection of TcR-α and -β recombinations (e.g., p < 0.0004), suggesting that co-detection of TcR-α and -β recombinations represent an anti-melanoma response that has been blunted by the advent of PD-1 expression. We further show that the algorithm for detecting the TcR-β VDJ recombinations is applicable to exome files generated from mouse tissue, thus providing for opportunities to develop empirical paradigms for interpreting the identification of TcR V(D)J recombinations in tissue resident lymphocytes.
Genome-wide association studies (GWAS) have identified more than 100 genetic loci associated with type 2 diabetes. The majority of these are located in the intergenic or intragenic regions suggesting that the implicated variants may alter chromatin conformation. This, in turn, is likely to influence the expression of nearby or more remotely located genes to alter beta cell function. At present, however, detailed molecular and functional analyses are still lacking for most of these variants. We recently analysed one of these loci and mapped five causal variants in an islet-specific enhancer cluster within the STARD10 gene locus. Here, we aimed to understand how these causal variants influence b-cell function by alteration of the chromatin structure of enhancer clusterREAD MORE