Abstract 3855: Kinetics of neoantigen-specific T cells in post-transplant relapse
Authors: Biswas Neupane, Jui-En Ray Lee, Kedwin Ventura, Kayla Parr, Kevin Quann, Sawa Ito
Journal: Cancer Research (2024)

Abstract Introduction: Graft-versus-leukemia effect (GVL) underpins the curative mechanism of allogeneic stem cell transplantation (alloSCT) for acute leukemias. Donor-derived T cells can recognize various antigens, including human leukocyte antigen (HLA), minor-histocompatibility antigens (miHA), over-expressed antigens, or neoantigens derived from somatic mutations of leukemia. However, the role of neoantigens has not been fully investigated in GVL. Here, we aimed to predict neoantigens and identify neoantigen-reactive T cells using samples after alloSCT. Materials: Leukemia blasts were purified from relapsed samples. Recipient saliva or T cells from pre-transplant peripheral blood (PB) were used as a recipient germline control, while donor monocyte or CD34 cells were used as donor controls. DNA/RNA isolated from these specimens were analyzed for whole exome sequencing (WES) paired with RNAseq. Somatic mutations were called using blasts and recipient germline controls by mutect and mpileup and annotation with SnpEff. Somatic mutations with variant allele frequency &amp;gt;20% were screened for neoantigen prediction bound to recipient HLA (IC50 &amp;lt; 500nM) by pVAC-seq. We also genotyped 73 SNPs associated with publicly known miHAs. Serial PB were stained for HLA-A*02:01 tetramers loaded with neoantigens or CMVpp65. T cells were stimulated with neoantigens for 10 days and tested for cytokine production in responses to target or control peptides. Results: We screened neoantigens in 8 patients relapsing after alloSCT (7 acute myeloid leukemia and 1 acute lymphoblastic leukemia) and their donors (4 matched siblings, 1 matched unrelated, 3 haploidentical). In 7 subjects, WES/RNAseq showed an average of 273 somatic mutations per patient (range 108- 609). In one subject, targeted next-generation sequencing was used to detect 2 somatic mutations. Among these mutations, seven out of eight subjects (87.5%) had potential neoantigen candidates, with a median number of 9 antigens per subject. In contrast, only 2 subjects (25%) had potential miHA. UPN8, a responder to donor lymphocyte infusion (DLI), showed dominant CMVpp65-specific T cells at the time of relapse and emergence of TP53- (neoantigen) or HA-2- (miHA) specific T cells after relapse. HA-2-specific T cells upregulated PD-1 expression at the time of graft-versus-host disease (GVHD), indicating activation of these miHA-specific T cells during GVHD. In two subjects (UPN3 and UPN8) who achieved long-term remission after DLI, CD8 T cells specific to neoantigens were detectable by IFN-γ/CD107a production in reaction to mutant peptides (SDE2.pK123X or TP53.pR248W) from post-relapse samples. Discussion: Our study showed the feasibility of in-silico neoantigens prediction and neoantigen-specific T-cell detection from a subject who developed relapse after alloSCT. Further investigation is needed to test if neoepitope burden and miHA disparity could correlate with transplant outcomes. Citation Format: Biswas Neupane, Jui-En Ray Lee, Kedwin Ventura, Kayla Parr, Kevin Quann, Sawa Ito. Kinetics of neoantigen-specific T cells in post-transplant relapse [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3855.