A phenotypic signature that identifies neoantigen-reactive T cells in fresh human lung cancers

Ken-Ichi Hanada1, Chihao Zhao1, Raul Gil-Hoyos1

  • 1Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.

Cancer Cell
|April 22, 2022
PubMed

Insights

Researchers developed a new method to identify T cells that recognize cancer neoantigens. This signature helps find T cell receptors for personalized cancer immunotherapy, improving treatment development for non-small cell lung cancer.

Area of Science:

  • Immunology
  • Oncology
  • Genomics

Background:

  • Successful cancer immunotherapies rely on T cells recognizing tumor-specific mutations (neoantigens).
  • Rapid identification of neoantigen-reactive T cells is crucial for developing advanced therapies like adoptive T cell transfer.
  • Engineering T cells with specific T cell receptors (TCRs) enhances their anti-tumor activity.

Purpose of the Study:

  • To develop a signature for identifying neoantigen-reactive T cells from non-small cell lung cancer (NSCLC) tumors.
  • To assess the efficacy of this signature in selecting TCRs for therapeutic applications.
  • To expedite the engineering of personalized T cells for cancer immunotherapy.

Main Methods:

  • Utilized CITE-seq (cellular indexing of transcriptomes and epitopes by sequencing) and TCR-seq.
  • Analyzed tumor-infiltrating lymphocytes (TILs) from NSCLC patients.
  • Developed a neoantigen-reactive T cell signature based on clonotype frequency, CD39 protein, and CXCL13 mRNA expression.

Main Results:

  • Identified a signature to screen for neoantigen-reactive TCRs.
  • Achieved a 45% success rate for CD8+ T cells and 66% for CD4+ T cells in identifying neoantigen-reactive TCRs.
  • Demonstrated the potential for rapid identification of therapeutically relevant TCRs.

Conclusions:

  • The developed signature enables efficient identification of neoantigen-reactive TCRs.
  • This approach can accelerate the engineering of personalized T cells for cancer therapy.
  • Further validation in larger patient cohorts is needed to confirm generalizability.

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