4.8 Article

Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery

Journal

IMMUNITY
Volume 54, Issue 3, Pages 586-+

Publisher

CELL PRESS
DOI: 10.1016/j.immuni.2021.02.014

Keywords

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Funding

  1. Virginia and D.K. Ludwig Fund for Cancer Research
  2. Howard Hughes Medical Institute
  3. St. Baldrick's-Stand Up to Cancer Dream Team Translational Research grant [SU2C-AACR-DT-27-17]
  4. Lung Cancer Research Foundation scientific grant
  5. Ellie Guardino Cancer Foundation Award from the Stanford Cancer Institute
  6. Stanford School of Medicine Honorary Dean's Fellowship
  7. Conquer Cancer Foundation of ASCO Young Investigator Award
  8. National Cancer Institute of the National Institutes of Health [R01CA234629-01]
  9. AACR-Johnson & Johnson Lung Cancer Innovation Science grant [18-90-52-ZHAN]
  10. Cancer Prevention and Research Institute of Texas Multi-Investigator Research Award grant [RP160668]
  11. University of Texas Lung Specialized Programs of Research Excellence grant [P50CA70907]
  12. NIH [S10RR025518-01, S10RR027431-01, 1 S10 RR025468-01, U54 CA232568-01, 5P30CA124435, 5RO1AI03867, U19 AI057229]
  13. Rutgers Cancer Institute of New Jersey [P30CA072720-5921]
  14. American Association for Cancer Research
  15. Parker Institute for Cancer Immunotherapy

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Through analyzing a large number of T cell receptor sequences, we identified T cell receptors with shared antigen specificity in a subset of non-small cell lung cancer patients and identified some specificity groups enriched in tumors. Using a yeast peptide-HLA display library, we confirmed the antigenic epitopes of one tumor-enriched specificity group, indicating that pathogen cross-reactivity may be a feature of multiple cancers.
To identify disease-relevant T cell receptors (TCRs) with shared antigen specificity, we analyzed 778,938 TCRb chain sequences from 178 non-small cell lung cancer patients using the GLIPH2 (grouping of lymphocyte interactions with paratope hotspots 2) algorithm. We identified over 66,000 shared specificity groups, of which 435 were clonally expanded and enriched in tumors compared to adjacent lung. The antigenic epitopes of one such tumor-enriched specificity group were identified using a yeast peptide-HLA A*02:01 display library. These included a peptide from the epithelial protein TMEM161A, which is overexpressed in tumors and cross-reactive epitopes from Epstein-Barr virus and E. coli. Our findings suggest that this cross-reactivity may underlie the presence of virus-specific T cells in tumor infiltrates and that pathogen cross-reactivity may be a feature of multiple cancers. The approach and analytical pipelines generated in this work, as well as the specificity groups defined here, present a resource for understanding the T cell response in cancer.

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