Structural basis for T cell recognition of cancer neoantigens and implications for predicting neoepitope

Roy A Mariuzza1,2, Daichao Wu3, Brian G Pierce1,2

  • 1W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, United States.

Frontiers in Immunology
|December 4, 2023
PubMed

Insights

Understanding how T cells recognize cancer neoantigens is key for adoptive cell therapy (ACT) and cancer vaccines. Structural studies reveal mutations can enhance antigen presentation or be directly detected by T cell receptors (TCRs).

Area of Science:

  • Oncology
  • Immunology
  • Structural Biology

Background:

  • Adoptive cell therapy (ACT) utilizes tumor-specific T cells for cancer regression.
  • T cell responses are primarily directed against neoantigens, which arise from mutations in self-antigens during cancer development.
  • Distinguishing neoantigens from self-antigens is crucial to avoid autoimmunity, yet the precise requirements for T cell recognition are not fully understood.

Purpose of the Study:

  • To review structural and biophysical studies on T cell receptor (TCR) recognition of shared cancer neoantigens.
  • To explore mechanisms by which oncogenic mutations are detected by the immune system.
  • To discuss TCR-mimic antibodies and computational advances in predicting neoepitope immunogenicity.

Main Methods:

  • Review of structural and biophysical studies focusing on TCR recognition of specific oncogenic neoantigens (e.g., p53R175H, KRASG12D).
  • Analysis of mechanisms including enhanced peptide-MHC binding and direct/indirect TCR interactions with mutations.
  • Review of TCR-mimic antibodies and computational methods for neoepitope prediction.

Main Results:

  • Oncogenic mutations can improve antigen presentation by enhancing peptide-MHC binding.
  • Mutations are recognized via direct TCR interactions or indirect mechanisms, not always requiring direct contact with the mutated residue.
  • TCR-mimic antibodies offer an alternative to TCRs for targeting cancer neoantigens.

Conclusions:

  • Structural insights are crucial for understanding TCR-neoantigen interactions and designing effective cancer immunotherapies.
  • Both direct and indirect recognition mechanisms contribute to T cell responses against cancer neoantigens.
  • Advances in computational prediction, informed by structural data, hold promise for improving neoepitope selection for cancer vaccines and ACT.

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