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Uveal melanoma immunogenomics predict immunotherapy resistance and susceptibility

Author

Listed:
  • Shravan Leonard-Murali

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

  • Chetana Bhaskarla

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

  • Ghanshyam S. Yadav

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

  • Sudeep K. Maurya

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

  • Chenna R. Galiveti

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

  • Joshua A. Tobin

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

  • Rachel J. Kann

    (University of Pittsburgh)

  • Eishan Ashwat

    (University of Pittsburgh)

  • Patrick S. Murphy

    (University of Pittsburgh
    University of Pittsburgh)

  • Anish B. Chakka

    (University of Pittsburgh)

  • Vishal Soman

    (University of Pittsburgh)

  • Paul G. Cantalupo

    (University of Pittsburgh)

  • Xinming Zhuo

    (University of Pittsburgh)

  • Gopi Vyas

    (University of Pittsburgh)

  • Dara L. Kozak

    (University of Pittsburgh)

  • Lindsey M. Kelly

    (University of Pittsburgh)

  • Ed Smith

    (University of Pittsburgh)

  • Uma R. Chandran

    (University of Pittsburgh
    University of Pittsburgh)

  • Yen-Michael S. Hsu

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

  • Udai S. Kammula

    (University of Pittsburgh
    University of Pittsburgh
    University of Pittsburgh)

Abstract

Immune checkpoint inhibition has shown success in treating metastatic cutaneous melanoma but has limited efficacy against metastatic uveal melanoma, a rare variant arising from the immune privileged eye. To better understand this resistance, we comprehensively profile 100 human uveal melanoma metastases using clinicogenomics, transcriptomics, and tumor infiltrating lymphocyte potency assessment. We find that over half of these metastases harbor tumor infiltrating lymphocytes with potent autologous tumor specificity, despite low mutational burden and resistance to prior immunotherapies. However, we observe strikingly low intratumoral T cell receptor clonality within the tumor microenvironment even after prior immunotherapies. To harness these quiescent tumor infiltrating lymphocytes, we develop a transcriptomic biomarker to enable in vivo identification and ex vivo liberation to counter their growth suppression. Finally, we demonstrate that adoptive transfer of these transcriptomically selected tumor infiltrating lymphocytes can promote tumor immunity in patients with metastatic uveal melanoma when other immunotherapies are incapable.

Suggested Citation

  • Shravan Leonard-Murali & Chetana Bhaskarla & Ghanshyam S. Yadav & Sudeep K. Maurya & Chenna R. Galiveti & Joshua A. Tobin & Rachel J. Kann & Eishan Ashwat & Patrick S. Murphy & Anish B. Chakka & Visha, 2024. "Uveal melanoma immunogenomics predict immunotherapy resistance and susceptibility," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46906-4
    DOI: 10.1038/s41467-024-46906-4
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