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A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types

Author

Listed:
  • Zhen Zeng

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Mark Center for Advanced Genomics and Imaging
    Johns Hopkins University School of Medicine)

  • Tianbei Zhang

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Mark Center for Advanced Genomics and Imaging
    Johns Hopkins University School of Medicine)

  • Jiajia Zhang

    (University of California)

  • Shuai Li

    (Johns Hopkins Bloomberg School of Public Health)

  • Sydney Connor

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Mark Center for Advanced Genomics and Imaging
    Johns Hopkins University School of Medicine)

  • Boyang Zhang

    (Johns Hopkins Bloomberg School of Public Health)

  • Yimin Zhao

    (Johns Hopkins Bloomberg School of Public Health
    University of Washington)

  • Jordan Wilson

    (Johns Hopkins Bloomberg School of Public Health)

  • Dipika Singh

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Mark Center for Advanced Genomics and Imaging
    Johns Hopkins University School of Medicine)

  • Rima Kulikauskas

    (Fred Hutchinson Cancer Center
    University of Washington)

  • Candice D. Church

    (Fred Hutchinson Cancer Center
    University of Washington)

  • Thomas H. Pulliam

    (Fred Hutchinson Cancer Center
    University of Washington)

  • Saumya Jani

    (Fred Hutchinson Cancer Center
    University of Washington)

  • Paul Nghiem

    (Fred Hutchinson Cancer Center
    University of Washington)

  • Suzanne L. Topalian

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine)

  • Patrick M. Forde

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Johns Hopkins University School of Medicine)

  • Drew M. Pardoll

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Mark Center for Advanced Genomics and Imaging
    Johns Hopkins University School of Medicine)

  • Hongkai Ji

    (Johns Hopkins Bloomberg School of Public Health)

  • Kellie N. Smith

    (Bloomberg~Kimmel Institute for Cancer Immunotherapy
    Mark Center for Advanced Genomics and Imaging
    Johns Hopkins University School of Medicine)

Abstract

Identifying tumor-specific T cell clones that mediate immunotherapy responses remains challenging. Mutation-associated neoantigen (MANA) -specific CD8+ tumor-infiltrating lymphocytes (TIL) have been shown to express high levels of CXCL13 and CD39 (ENTPD1), and low IL-7 receptor (IL7R) levels in many cancer types, but their collective relevance to T cell functionality has not been established. Here we present an integrative tool to identify MANA-specific TIL using weighted expression levels of these three genes in lung cancer and melanoma single-cell RNAseq datasets. Our three-gene “MANAscore” algorithm outperforms other RNAseq-based algorithms in identifying validated neoantigen-specific CD8+ clones, and accurately identifies TILs that recognize other classes of tumor antigens, including cancer testis antigens, endogenous retroviruses and viral oncogenes. Most of these TIL are characterized by a tissue resident memory gene expression program. Putative tumor-reactive cells (pTRC) identified via MANAscore in anti-PD-1-treated lung tumors had higher expression of checkpoint and cytotoxicity-related genes relative to putative non-tumor-reactive cells. pTRC in pathologically responding tumors showed distinguished gene expression patterns and trajectories. Collectively, we show that MANAscore is a robust tool that can greatly enrich candidate tumor-specific T cells and be used to understand the functional programming of tumor-reactive TIL.

Suggested Citation

  • Zhen Zeng & Tianbei Zhang & Jiajia Zhang & Shuai Li & Sydney Connor & Boyang Zhang & Yimin Zhao & Jordan Wilson & Dipika Singh & Rima Kulikauskas & Candice D. Church & Thomas H. Pulliam & Saumya Jani , 2025. "A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types," Nature Communications, Nature, vol. 16(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55059-3
    DOI: 10.1038/s41467-024-55059-3
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