The DNAJB1-PRKACA fusion transcript is the oncogenic driver in fibrolamellar hepatocellular carcinoma, a lethal disease lacking specific therapies. This study reports on the identification, characterization, and immunotherapeutic application of HLA-presented neoantigens specific for the DNAJB1-PRKACA fusion transcript in fibrolamellar hepatocellular carcinoma. DNAJB1-PRKACA-derived HLA class I and HLA class II ligands induce multifunctional cytotoxic CD8+ and T-helper 1 CD4+ T cells, and their cellular processing and presentation in DNAJB1-PRKACA expressing tumor cells is demonstrated by mass spectrometry-based immunopeptidome analysis. Single-cell RNA sequencing further identifies multiple T cell receptors from DNAJB1-PRKACA-specific T cells. Vaccination of a fibrolamellar hepatocellular carcinoma patient, suffering from recurrent short interval disease relapses, with DNAJB1-PRKACA-derived peptides under continued Poly (ADP-ribose) polymerase inhibitor therapy induces multifunctional CD4+ T cells, with an activated T-helper 1 phenotype and high T cell receptor clonality. Vaccine-induced DNAJB1-PRKACA-specific T cell responses persist over time and, in contrast to various previous treatments, are accompanied by durable relapse free survival of the patient for more than 21 months post vaccination. Our preclinical and clinical findings identify the DNAJB1-PRKACA protein as source for immunogenic neoepitopes and corresponding T cell receptors and provide efficacy in a single-patient study of T cell-based immunotherapy specifically targeting this oncogenic fusion.

Background The histological diagnosis of alveolar echinococcosis can be challenging. Decision support models based on deep learning (DL) are increasingly used to aid pathologists, but data on the histology of tissue-invasive parasitic infections are missing. The aim of this study was to implement DL methods to classify Echinococcus multilocularis liver lesions and normal liver tissue and assess which regions and structures play the most important role in classification decisions. Methods We extracted 15,756 echinococcus tiles from 28 patients using 59 whole slide images (WSI); 11,602 tiles of normal liver parenchyma from 18 patients using 33 WSI served as a control group. Different pretrained model architectures were used with a 60–20–20% random splitting. We visualized the predictions using probability-thresholded heat maps of WSI. The area-under-the-curve (AUC) value and other performance metrics were calculated. The GradCAM method was used to calculate and visualize important spatial features. Results The models achieved a high validation and test set accuracy. The calculated AUC values were 1.0 in all models. Pericystic fibrosis and necrotic areas, as well as germinative and laminated layers of the metacestodes played an important role in decision tasks according to the superimposed GradCAM heatmaps. Conclusion Deep learning models achieved a high predictive performance in classifying E. multilocularis liver lesions. A possible next step could be to validate the model using other datasets and test it against other pathologic entities as well, such as, for example, Echinococcus granulosus infection. Graphical Abstract

Fibrolamellar hepatocellular carcinoma (FL-HCC) is a rare tumor disease, which affects children and adolescents without history of primary liver disease. Beside surgical resection established treatment options are lacking for FL-HCC. Recently, the DNAJB1-PRKACA fusion transcript was identified as the oncogenic driver of tumor pathogenesis in 100% of FL-HCC patients. Here, we investigated the role of the DNAJB1-PRKACA fusion protein as a source for immunogenic neoepitopes and showed first immunotherapeutic application of these antigens in a FL-HCC patient.HLA class I- and class II-presented neoantigens derived from the DNAJB1-PRKACA fusion protein were predicted in silico using NetMHCpan 4.1 and SYFPEITHI 1.0, or NetMHCIIpan 4.0, respectively. With this workflow nine binding cores of nine amino acid length for a total of 1290 different HLA class II alleles, as well as 13 HLA class I ligands for the 20 most frequent HLA class I allotypes (European population, iedb.org) were identified. Cellular processing and HLA presentation of DNAJB1-PRKACA-derived peptides was proven by liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) of DNAJB1-PRKACA-transduced HCC cell lines. Immunogenicity of DNAJB1-PRKACA-derived peptides was assessed for the HLA class II peptide (PII-1) and the HLA-A*24 peptide (PA*24) by in vitro priming experiments which showed an induction of multifunctional peptide-specific CD4+ and CD8+ T cells, respectively, with expression of CD107a, IFNγ, and TNF upon peptide-pulsing. Furthermore, PA*24-specific T cells showed antigen-specific lysis of autologous peptide-loaded target cells and single-cell next-generation sequencing (10x Genomics) of PA*24-specific CD8+ T cells further enabled the identification of DNAJB1-PRKACA-reactive T cell receptors. Based on these preclinical data we applied a peptide vaccine, consisting of three HLA class I ligands (PA*02, PB*44, and PC*05) and PII-1 spanning the DNAJB1-PRKACA fusion region, to a 15-year old patient with histologically confirmed FL-HCC, who experienced multiple tumor relapses after early liver transplant due to unresectable FL-HCC not responsive to chemotherapy. After two vaccinations in vivo induction of multifunctional CD4+ T cells targeting PII-1 and PB*44 was observed by IFNγ ELISPOT. Single-cell RNA sequencing of vaccine-induced CD4+ T cells revealed distinct gene expression clusters of T cell activation and high TCR clonality. DNAJB1-PRKACA-specific T cells persisted in peripheral blood and were accompanied by relapse free survival of the patient until now, more than one year post vaccination. These findings identified the DNAJB1-PRKACA fusion transcript as novel prime source for broadly applicable neoepitopes and corresponding TCRs and provide first evidence for their application in cancer immunotherapy of FL-HCC. Citation Format: Jens Bauer, Natalie Köhler, Yacine Maringer, Philip Bucher, Tatjana Bilich, Melissa Zwick, Severin Dicks, Annika Nelde, Marissa Dubbelaar, Jonas Scheid, Marcel Wacker, Jonas J. Heitmann, Sarah Schroeder, Jonas Rieth, Monika Denk, Marion Richter, Reinhild Klein, Irina Bonzheim, Julia Luibrand, Ursula Holzer, Martin Ebinger, Ines B. Brecht, Michael Bitzer, Melanie Boerries, Helmut R. Salih, Hans-Georg Rammensee, Stephan Hailfinger, Juliane S. Walz. The oncogenic fusion protein DNAJB1-PRKACA can be actively targeted by peptide-based immunotherapy in fibrolamellar hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2008.