Cancers modulate p53 truncal neoantigen display to evade T cell detection

Insights

TP53 mutations create neoantigens, but few are presented on cancer cells. Immune selection and ERAP1 limit effective neoepitope targeting, challenging cancer immunotherapy.

Area of Science:

  • Oncology
  • Immunology
  • Proteomics

Background:

  • TP53 mutations are early cancer events, often encoding tumor-specific neoantigens.
  • These neoantigens are presumed targets for cytotoxic T lymphocytes (CTLs).
  • Systematic analysis of p53 peptide-MHC (pMHC) cell surface display, antigenicity, and immunogenicity is lacking.

Purpose of the Study:

  • To develop and apply an epitope discovery platform for identifying p53-derived pMHCs on cancer cells.
  • To investigate the presentation, antigenicity, and immunogenicity of p53 neoantigens.
  • To understand mechanisms limiting effective neoepitope targeting in established tumors.

Main Methods:

  • Developed an epitope discovery platform using p53-reconstituted lung cancer cells and tumor cells as pMHC sources.
  • Employed data-independent acquisition mass spectrometry (MS) for attomole sensitivity pMHC identification.
  • Combined MS with nanoscale chromatography and advanced peptide detection techniques.

Main Results:

  • Identified a limited set of p53 pMHCs presented by common human leukocyte antigen (HLA) alleles, excluding ~97% of predicted neoepitopes.
  • Observed that surface neoantigens are restricted and unaffected by enhanced p53 turnover.
  • Discovered immune selection against MHC alleles and ERAP1-mediated destruction limit high-affinity neoepitopes in tumors.
  • Found that the R175H/HLA-A*02:01 neoepitope escapes immune selection due to weak MHC affinity.

Conclusions:

  • Only a small fraction of potential p53 neoantigens are physically presented on cancer cell surfaces.
  • Tumor immunoediting mechanisms, including MHC allele selection and ERAP1 activity, restrict the repertoire of targetable neoepitopes.
  • Effective targeting of truncal neoepitopes requires precise MS analysis and functional validation for successful cancer immunotherapy.

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