Study: Melanoma immunotherapy resistance 39744 cells
Single-cell RNA-seq of melanoma ecosystems reveals sources of T cell exclusion linked to immunotherapy clinical outcomes
Livnat Jerby-Arnon*, Parin Shah, Michael S. Cuoco, Christopher Rodman, Mei-Ju Su, Johannes C. Melms, Rachel Leeson, Abhay Kanodia, Shaolin Mei, Jia-Ren Lin, Shu Wang, Bokang Rabasha, David Liu, Gao Zhang, Claire Margolais, Orr Ashenberg, Patrick A. Ott, Elizabeth I. Buchbinder, Riz Haq, F. Stephen Hodi, Genevieve M. Boland, Ryan J. Sullivan, Dennie T. Frederick, Benchun Miao, Tabea Moll, Keith T. Flaherty, Meenhard Herlyn, Russell W. Jenkins, Rohit Thummalapalli, Monika S. Kowalczyk, Israel Cañadas, Bastian Schilling, Adam N.R, Cartwright, Adrienne M. Luoma, Shruti Malu, Patrick Hwu, Chantale Bernatchez, Marie-Andrée Forget, David A. Barbie, Alex K. Shalek, Itay Tirosh, Peter K. Sorger, Kai Wucherpfennig, Eliezer M. Van Allen, Dirk Schadendorf, Bruce E. Johnson, Asaf Rotem, Orit Rozenblatt-Rosen, Levi A. Garraway, Charles H. Yoon, Benjamin Izar*, Aviv Regev
*These authors contributed equally to this work.
Contact person: Livnat Jerby-Arnon, firstname.lastname@example.org
Immune checkpoint inhibitors (ICI) produce durable responses in some melanoma patients, but many patients derive no clinical benefit, and the molecular underpinnings of such resistance remain elusive. Here, we leveraged single-cell RNA-seq (scRNA-seq) from 31 melanoma tumors and novel computational methods to interrogate malignant cell states that promote immune evasion. We identified a resistance program expressed by malignant cells that is associated with T cell exclusion and immune evasion. The program is present prior to immunotherapy, characterizes cold niches, and predicts clinical responses to anti-PD-1 therapy in an independent cohort of 112 melanoma patients. CDK4/6-inhibition represses this program in individual malignant cells, induces senescence, and reduces melanoma tumor outgrowth in a mouse model when given in combination with immunotherapy. Our study provides a high-resolution landscape of ICI resistant cell states, identifies clinically predictive signatures, and forms a basis for the development of novel therapeutic strategies that could overcome immunotherapy resistance.