Mass spectrometry-based de novo sequencing reveals non-canonical neoantigens with antitumor efficacy in hepatocellular carcinoma

peer-reviewed · JHEP Reports · 2026

peer-reviewed · JHEP Reports · 2026. Xiaohua Xing et al. Background & aims Tumor neoantigens, especially cryptic antigens from non-canonical translation, are vital…
Date 2026-04-01
Type peer-reviewed
Venue JHEP Reports
Publisher Elsevier BV
Contribution downstream-application
DOI 10.1016/j.jhepr.2026.101775
Citations (OpenAlex) 0

Abstract

Background & aims Tumor neoantigens, especially cryptic antigens from non-canonical translation, are vital for cancer immunotherapy. Mass spectrometry (MS)-based de novo sequencing identifies candidates, but unverified immunogenicity and antitumor efficacy limit clinical applicability. This study aimed to identify novel non-canonical neoantigens in hepatocellular carcinoma (HCC) using MS-based de novo sequencing and rigorously validate their immunogenicity and antitumor efficacy. Methods Using a C57BL/6 subcutaneous HCC mouse model, immunopeptides were comprehensively profiled via MHC-I immunoprecipitation combined with MS-based de novo sequencing. Identified high-immunogenicity peptides predicted by deep learning were validated using ex vivo ELISpot assays. Endogenous peptide expression was confirmed using parallel reaction monitoring-targeted quantification. The antitumor efficacy of therapeutic peptide vaccines comprising the seven most immunogenic peptides combined with the adjuvant poly(I:C) was evaluated in vivo in the subcutaneous and orthotopic HCC models. Results We identified 5,576 immunopeptides, with sequence motifs consistent with prior reports. Remarkably, 95% of deep learning-predicted high-immunogenicity peptides were successfully validated by ELISpot (p Conclusions MS-based de novo sequencing combined with computational prioritization enables identification of non-canonical, immunogenic neoantigens in HCC. Selected peptides demonstrated endogenous presentation and measurable antitumor activity in preclinical models. Impact and implications This study provides robust experimental validation that mass spectrometry-based de novo sequencing effectively identifies novel, highly immunogenic non-canonical neoantigens in hepatocellular carcinoma, overcoming a key limitation of prior predictive methods and opening avenues for exploring this understudied neoantigen class in other cancers. The findings are critical for cancer immunologists and oncologists developing next-generation immunotherapies, demonstrating a viable discovery-to-validation pipeline for novel therapeutic targets. The validated neoantigens and successful peptide vaccine strategy offer a direct pathway towards developing personalized hepatocellular carcinoma immunotherapies, enabling clinicians to adopt similar integrated approaches for patient-specific neoantigen discovery; however, clinical translation beyond this preclinical murine model requires confirmation in human settings due to potential differences in HLA presentation and the tumor microenvironment.

Authors

  1. Xiaohua Xing
  2. Mingxin Liu
  3. Jiahe Ouyang
  4. Yaxin Tang
  5. Baozhen Shan · Bioinformatics Solutions Inc.
  6. Ruijing Tang
  7. En Hu
  8. Ming Li · Bioinformatics Solutions Inc., Central China Institute of Artificial Intelligence, Peng Cheng Laboratory, University of Waterloo, University of Western Ontario
  9. Xiaolong Liu · Fujian Medical University

Methods and tools

  • HCC non-canonical neoantigen discovery: Finds non-canonical neoantigens in hepatocellular carcinoma by mass spectrometry-based de novo sequencing and then tests them, addressing the gap that de novo proposes cryptic antigens whose immunogenicity goes unverified.

Cites (2)

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