Decoding neoantigen-encoding tumor-specific transcripts unveils a shared target reservoir for immunotherapy in

Peng Lin1,2, Yifan Wen1,2, Jingjing Zhao1,2

  • 1Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.

Abstract

Insights

Transcriptome-derived neoantigens (neoTSTs) offer a promising new avenue for hepatocellular carcinoma (HCC) immunotherapy, providing a more abundant and shared source of targets than mutation-derived neoantigens. These neoTSTs demonstrate significant therapeutic potential in preclinical models, paving the way for expanded HCC treatment options.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Hepatocellular carcinoma (HCC) presents limited therapeutic options, with existing neoantigen vaccines hampered by low antigen availability.
  • This study investigates transcriptome-derived neoantigens (neoTSTs) as a potential solution for HCC immunotherapy.

Purpose of the Study:

  • To characterize the features, generation mechanisms, and therapeutic potential of neoTSTs in HCC.
  • To compare neoTSTs with mutation-derived neoantigens (neoMuts) in terms of abundance, frequency, and immunotherapeutic efficacy.

Main Methods:

  • Developed a computational pipeline to identify tumor-specific transcripts (TSTs) and predict neoTSTs from RNA-seq data of 1,013 HCC patients.
  • Validated neoTSTs using proteomics, immunopeptidomics, and HLA-transgenic mouse models.
  • Assessed neoTST tumor coverage and immunotherapeutic efficacy using single-cell RNA-seq and murine HCC models.

Main Results:

  • Identified an average of 60 neoTSTs per patient, significantly more than neoMuts, with high population frequencies and validation via mass spectrometry.
  • Discovered neoTST generation mechanisms including retained introns, transposable element activation, and alternative promoter usage.
  • Demonstrated that neoTSTs cover >75% of tumor cells, are amplified by antigen-presenting cancer-associated fibroblasts, and outperform neoMuts in preclinical HCC models.

Conclusions:

  • NeoTSTs represent a superior and more abundant neoantigen source in HCC compared to neoMuts.
  • NeoTSTs hold dual potential as personalized immunotherapeutic targets and broadly applicable antigens for low-TMB tumors.
  • These findings offer a transformative framework for advancing HCC immunotherapy.

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