Nature Communications (Apr 2024)

Uveal melanoma immunogenomics predict immunotherapy resistance and susceptibility

  • 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,
  • Vishal Soman,
  • Paul G. Cantalupo,
  • Xinming Zhuo,
  • Gopi Vyas,
  • Dara L. Kozak,
  • Lindsey M. Kelly,
  • Ed Smith,
  • Uma R. Chandran,
  • Yen-Michael S. Hsu,
  • Udai S. Kammula

DOI
https://doi.org/10.1038/s41467-024-46906-4
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 17

Abstract

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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.