Abstract 2238: Characterization of T cell clonality and tumor mutation burden utilizing the TCRSeq NGS and the comprehensive NGS assays

Background: Somatic mutations are the basis for the generation of potential neoantigens recognized by antitumor T lymphocytes, which may contribute to increase T cell diversity [1]. Next-generation sequencing of expressed T cell receptor (TCR) transcripts allows for quantification and assessing clonality of T cell diversity [2]. Tumors that exhibit a low TCR diversity and potentially having a high clonality have been shown to be lower responders to immunotherapy treatments. Methods: Utilizing the Shannon entropy to arrive at a clonality readout, we sought to gain mechanistic insights and demonstrate a link between clonality and total mutation load. We conducted the analysis using a diverse set of solid tumors and hematological malignancies across three different specimen types (bone marrow (BM), peripheral blood (PB), formalin-fixed paraffin embedded (FFPE tissue)). Specifically, we used the beta TCRSeq NGS and the Comprehensive NGS assays (internally developed) to characterize sample clonality and mutation load respectively. Results: The TCRSeq NGS assay sequences the V(D)J domains of the variable region of the TCR heavy chain (involved in epitope recognition), while the hybrid capture Comprehensive NGS assay detects variants across a 236 gene panel optimized for SNV and INDEL detection. Initial analysis across the different specimen types resulted in average clonalities of BM = 0.255, PB = 0.149, FFPE = 0.092, with average tumor mutation loads of 7.6, 7.6, and 21 respectively. Categorization of all samples by increasing clonality, independent of specimen type, established a clear differentiator with samples harboring a clonality of less than 0.10 to exhibit an average mutation load of 26.33. This was statistically significant from samples harboring clonalities between 0.10 and 0.19, which had an average mutation load of 7.86, and samples with clonalities equal to or greater than 0.20, having an average mutation load of 7.67. Conclusions: Based on two different categorical analyses, lower T cell clonality readouts appear to be associated with solid tumors harboring greater genetic diversity/neoantigen burden than hematological malignancies with higher clonalities. As tumor mutation burden has been correlated with clinical outcomes of varying efficacy, this study provides further insight into the utility of T cell clonality as a “molecular tag” for immune response and resistance in oncological therapeutics. Citation Format: Hua C. Gong, Hua Gong, Andreas Papoutsis, Wen Wu, Christian Laing. Characterization of T cell clonality and tumor mutation burden utilizing the TCRSeq NGS and the comprehensive NGS assays [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2238.