Background: Although mutated HLA ligands are considered ideal cancer-specific immunotherapy targets, evidence for their presentation is lacking in hepatocellular carcinomas (HCCs). Employing a unique multi-omics approach comprising a neoepitope identification pipeline, we assessed exome-derived mutations naturally presented as HLA class I ligands in HCCs.Methods: In-depth multi-omics analyses included whole exome and transcriptome sequencing to define individual patient-specific search spaces of neoepitope candidates. Evidence for the natural presentation of mutated HLA ligands was investigated through an in silico pipeline integrating proteome and HLA ligandome profiling data.Results: The approach was successfully validated in a state-of-the-art dataset from malignant melanoma, and despite multi-omics evidence for somaticmutations, mutated naturally presented HLA ligands remained elusive in HCCs. An analysis of extensive cancer datasets confirmed fundamental differences of tumor mutational burden in HCC and malignantmelanoma, challenging the notion that exome-derived mutations contribute relevantly to the expectable neoepitope pool in malignancies with only few mutations.Conclusions: This study suggests that exome-derived mutated HLA ligands appear to be rarely presented in HCCs, inter alia resulting from a low mutational burden as compared to other malignancies such as malignantmelanoma. Our results therefore demand widening the target scope for personalized immunotherapy beyond this limited range of mutated neoepitopes, particularly for malignancies with similar or lower mutational burden.

Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma

Accolla, R. S.;Tosi, G.;Forlani, G.;
2019-01-01

Abstract

Background: Although mutated HLA ligands are considered ideal cancer-specific immunotherapy targets, evidence for their presentation is lacking in hepatocellular carcinomas (HCCs). Employing a unique multi-omics approach comprising a neoepitope identification pipeline, we assessed exome-derived mutations naturally presented as HLA class I ligands in HCCs.Methods: In-depth multi-omics analyses included whole exome and transcriptome sequencing to define individual patient-specific search spaces of neoepitope candidates. Evidence for the natural presentation of mutated HLA ligands was investigated through an in silico pipeline integrating proteome and HLA ligandome profiling data.Results: The approach was successfully validated in a state-of-the-art dataset from malignant melanoma, and despite multi-omics evidence for somaticmutations, mutated naturally presented HLA ligands remained elusive in HCCs. An analysis of extensive cancer datasets confirmed fundamental differences of tumor mutational burden in HCC and malignantmelanoma, challenging the notion that exome-derived mutations contribute relevantly to the expectable neoepitope pool in malignancies with only few mutations.Conclusions: This study suggests that exome-derived mutated HLA ligands appear to be rarely presented in HCCs, inter alia resulting from a low mutational burden as compared to other malignancies such as malignantmelanoma. Our results therefore demand widening the target scope for personalized immunotherapy beyond this limited range of mutated neoepitopes, particularly for malignancies with similar or lower mutational burden.
2019
http://www.genomemedicine.com/
HLA; HLA ligandomics; Hepatocellular carcinoma; Immunoinformatics; Immunotherapy; Liver cancer; Mass spectrometry; Multi-omics; Neoantigen; Next-generation sequencing; Peptide prediction; Personalized medicine
Löffler, Markus W; Mohr, Christopher; Bichmann, Leon; Freudenmann, Lena Katharina; Walzer, Mathias; Schroeder, Christopher M; Trautwein, Nico; Hilke, Franz J; Zinser, Raphael S; Mühlenbruch, Lena; Kowalewski, Daniel J; Schuster, Heiko; Sturm, Marc; Matthes, Jakob; Riess, Olaf; Czemmel, Stefan; Nahnsen, Sven; Königsrainer, Ingmar; Thiel, Karolin; Nadalin, Silvio; Beckert, Stefan; Bösmüller, Hans; Fend, Falko; Velic, Ana; Maček, Boris; Haen, Sebastian P; Buonaguro, Luigi; Kohlbacher, Oliver; Stevanović, Stefan; Königsrainer, Alfred; Rammensee, Hans-G.; Mayer-Mokler, A.; Weinschenk, T.; Flohr, C.; Reinhardt, C.; Singh-Jasuja, H.; Accolla, R. S.; Tosi, G.; Forlani, G.; Ma, Y. T.; Adams, D.; Valmori, D.; Chaumette, T.; Heidenreich, R.; Gouttefangeas, C.; Sangro, B.; Francque, S.; Vonghia, L.; Tagliamonte, M.; Petrizzo, A.; Tornesello, M. L.; Buonaguro, F. M.; Hepavac, Consortium
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2079258
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