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A pan-cancer atlas of T cell targets

16 maj 2025

Li, G. et al (BioRxiv) 

DOI: 10.1101/2025.01.22.634237

Keywords:

  • Immunopeptidomics

  • CAR T cells

  • Tumor Immunotherapy


Main Findings

A critical challenge in T  cell-based cancer immunotherapy is the scarcity of truly tumor-specific  antigens that are both safely targetable and broadly expressed. In a  recent preprint, Li et al. present a comprehensive antigen atlas  constructed by integrating 7,473 bulk tumor RNA sequencing datasets,  1,564 tumor immunopeptidomes, and 208 single-cell RNA sequencing  datasets spanning 21 cancer types. These datasets were compared against  17,384 normal tissue samples from the Genotype-Tissue Expression (GTEx)  project to filter out non-tumor-specific events. The authors developed a  multimodal pipeline to interrogate eleven molecular sources of tumor  antigens including somatic mutations, gene fusions, alternative splicing  events, transposable elements, cryptic open reading frames, and  microbial sequences. Peptide identifications were refined using  deep-learning-based rescoring and predictions of major  histocompatibility complex class I (HLA-I) binding affinity.

Li et al. identify 15,079  tumor-specific peptides presented on HLA-I molecules dramatically  expanding the known antigenic landscape. Most peptides originated from  non-canonical sources including cryptic open reading frames and splicing  variants while single-nucleotide variant-derived peptides accounted for  just 0.009% of detections. The authors highlight a splicing-derived  peptide from the PMEL gene that is more abundantly presented than  canonical PMEL epitopes and engages a distinct T cell receptor (TCR)  repertoire suggesting it may serve as a superior target for TCR-based or  peptide-centric CAR (PC-CAR) therapies.The study also provides the  first endogenous evidence of peptides derived from the LINE-1 open  reading frame 2 (ORF2) protein, a key retrotransposon previously  undetected by conventional proteomics. Beyond tumor cell-derived  epitopes, the authors detect HLA-I-presented peptides from  tumor-resident pathogens including cytomegalovirus and Niallia  circulans, thereby opening new avenues for pathogen-targeted vaccine or  TCR-based therapies. Finally, the authors show that differences in  antigen processing machinery can shape tumor-specific immunopeptidomes  offering insight into why peptide repertoires vary across cancer types.


Limitations

Although this study represents a  major technical and conceptual advance, key limitations remain. The  dataset reflects tumors of diverse clinical and biological contexts;  however, metadata regarding patient treatments, tumor stage, immune  status, or prior immunotherapy exposure were not analyzed, raising the  possibility of confounding from unmeasured clinical heterogeneity. In  addition, while mutation-derived peptides were catalogued, it remains  unclear whether these antigens are clonal, subclonal, or bystander  events, and whether they distinguish truly malignant cells from  pre-malignant lesions. Importantly, the immunogenicity of the identified  epitopes was not functionally validated in vitro or in vivo, nor did  the study explore HLA class II (HLA-II) presentation, which is relevant  for CD4+ T cell responses and tumor-antigen priming by  antigen-presenting cells.


Significance / Novelty

This study provides the first  pan-cancer atlas of non-canonical HLA-I-presented tumor antigens,  unveiling a vastly expanded set of candidate targets for T cell-based  therapies. By publicly releasing a web portal, immunopeptidomics search  tool, and peptide libraries, Li et al. equip the field with a powerful  foundation for rational design of next-generation TCR therapies,  peptide-centric CAR T cells, and therapeutic cancer vaccines.


Credit

Reviewed by Benjamin Schrank as  part of a cross-institutional journal club between the Icahn School of  Medicine at Mount Sinai, the University of Oxford, the Karolinska  Institute, the University of Texas MD Anderson Cancer Center and the  University of Toronto.

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