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Cancers modulate p53 truncal neoantigen display to evade T cell detection
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Cancers modulate p53 truncal neoantigen display to evade T cell detection

Koji Haratani, Bruce Reinhold, Jonathan S. Duke-Cohan +23 more
November 2025
 ·
bioRxiv
 ·
DOI 
10.1101/2025.11.26.690562
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Immunology this quarter.
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Why this is interesting

By proving ~97% of predicted p53 neoantigens are never displayed on tumor surfaces and uncovering ERAP1-mediated trimming and HLA loss as evasion mechanisms, this work overturns the foundational premise driving truncal neoantigen immunotherapy and redefines therapeutic target selection.

QED claims analysis

Summary

Cancer cells evade T cell detection of truncal p53 neoantigens through multiple mechanisms including selective HLA allele loss, ERAP1-mediated destruction of immunogenic long peptides, and exploitation of weak MHC binding affinity, resulting in presentation of only ~3% of computationally predicted epitopes and explaining why common p53 hotspot mutations persist clinically despite their potential immunogenicity.

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Main Claim 1 –

Most Predicted p53 Epitopes Are Not MHC Surface-Displayed

Supporting evidence

  • Forced p53 Degradation Fails to Increase MHC Epitope Display
Main Claim 2 –

Tumors Evade T Cells by Suppressing p53 Hotspot Neoantigen Display

Supporting evidence

  • HLA Allele Loss Enables Tumor Escape from Neoantigen Presentation
  • Neoepitope Structure Determines Immunogenicity Versus Wild-Type Mimicry
Main Claim 3 –

Potent TCRs Can Be Generated Against p53 Neoantigens

Main Claim 4 –

ERAP1 Trimming Destroys Long p53 Neoepitopes to Enable Immune Evasion

Abstract

TP53 mutations are early truncal events across cancers. These are perceived to encode tumour-specific neoantigens representing prime cytotoxic T lymphocyte (CTL) targets. However, studies systematically examining the physical cell surface display of p53 peptides bound to major histocompatibility complex molecules (pMHC), their relative antigenicity, and resultant immunogenicity have yet to be conducted. Here, we develop an epitope discovery platform using p53-reconstituted lung cancer cells as well as various tumour cells as pMHC sources. Combining data-independent acquisition mass spectrometry (MS), nanoscale chromatography, and peptide detection based on probabilistic measure and three-dimensional ion visualization techniques allows attomole sensitivity identification of pMHCs. This approach excluded ∼97% of algorithm-based virtual p53 immunopeptidomes, highlighting that only a few p53 pMHCs can be presented by common human MHC (human leukocyte antigen, [HLA]) alleles. Strikingly, surface expressed neoantigens are restricted to the corresponding set of such limited self-p53 peptide arrays and unaffected by enhancing p53 proteasomal turnover. Further curtailment of MS-validated, high affinity p53 neoepitopes that are structurally deviant from self-pMHC occurs in established tumours due to immune selection against the antigen presenting MHC allele or by a novel mechanism involving p53 neoepitope destruction by endoplasmic reticulum aminopeptidase 1 (ERAP1). In contrast, given the extremely weak MHC affinity and resultant short-lived cell surface pMHC expression, the common p53 neoepitope R175H/HLA-A*02:01 escapes immune selection despite CTL with high quality T-cell receptors. Rigorous tumour-protective immunoediting makes effective truncal neoepitope targeting a challenge, requiring attentive MS analysis and functional vetting to focus protective cytolytic responses.

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