Unlocking novel T cell-based immunotherapy for hepatocellular carcinoma through neoantigen-driven T cell receptor isolation

Abstract

Background Tumour-infiltrating T cells can mediate both antitumour immunity and promote tumour progression by creating an immunosuppressive environment. This dual role is especially relevant in hepatocellular carcinoma (HCC), characterised by a unique microenvironment and limited success with current immunotherapy. Objective We evaluated T cell responses in patients with advanced HCC by analysing tumours, liver flushes and liver-draining lymph nodes, to understand whether reactive T cell populations could be identified despite the immunosuppressive environment. Design T cells isolated from clinical samples were tested for reactivity against predicted neoantigens. Single-cell RNA sequencing was employed to evaluate the transcriptomic and proteomic profiles of antigen-experienced T cells. Neoantigen-reactive T cells expressing 4-1BB were isolated and characterised through T-cell receptor (TCR)-sequencing. Results Bioinformatic analysis identified 542 candidate neoantigens from seven patients. Of these, 78 neoantigens, along with 11 hotspot targets from HCC driver oncogenes, were selected for ex vivo T cell stimulation. Reactivity was confirmed in co-culture assays for 14 targets, with most reactive T cells derived from liver flushes and lymph nodes. Liver flush-derived T cells exhibited central memory and effector memory CD4+ with cytotoxic effector profiles. In contrast, tissue-resident memory CD4+ and CD8+ T cells with an exhausted profile were primarily identified in the draining lymph nodes. Conclusion These findings offer valuable insights into the functional profiles of neoantigen-reactive T cells within and surrounding the HCC microenvironment. T cells isolated from liver flushes and tumour-draining lymph nodes may serve as a promising source of reactive T cells and TCRs for further use in immunotherapy for HCC. Data are available upon reasonable request. Data are available on reasonable request. All data relevant to the study are included in the article or uploaded as online supplemental material.