| Literature DB >> 30388455 |
Livnat Jerby-Arnon1, Parin Shah2, Michael S Cuoco1, Christopher Rodman1, Mei-Ju Su3, Johannes C Melms2, Rachel Leeson3, Abhay Kanodia3, Shaolin Mei4, Jia-Ren Lin5, Shu Wang5, Bokang Rabasha2, David Liu2, Gao Zhang6, Claire Margolais2, Orr Ashenberg1, Patrick A Ott2, Elizabeth I Buchbinder2, Rizwan Haq2, F Stephen Hodi2, Genevieve M Boland7, Ryan J Sullivan7, Dennie T Frederick7, Benchun Miao7, Tabea Moll7, Keith T Flaherty7, Meenhard Herlyn6, Russell W Jenkins8, Rohit Thummalapalli2, Monika S Kowalczyk9, Israel Cañadas2, Bastian Schilling10, Adam N R Cartwright11, Adrienne M Luoma11, Shruti Malu2, Patrick Hwu12, Chantale Bernatchez12, Marie-Andrée Forget12, David A Barbie2, Alex K Shalek1, Itay Tirosh1, Peter K Sorger5, Kai Wucherpfennig11, Eliezer M Van Allen2, Dirk Schadendorf13, Bruce E Johnson3, Asaf Rotem14, Orit Rozenblatt-Rosen1, Levi A Garraway15, Charles H Yoon16, Benjamin Izar17, Aviv Regev18.
Abstract
Immune checkpoint inhibitors (ICIs) 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 sequencing (scRNA-seq) from 33 melanoma tumors and computational analyses 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 expressed prior to immunotherapy, characterizes cold niches in situ, 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 mouse models in vivo when given in combination with immunotherapy. Our study provides a high-resolution landscape of ICI-resistant cell states, identifies clinically predictive signatures, and suggests new therapeutic strategies to overcome immunotherapy resistance.Entities:
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Year: 2018 PMID: 30388455 PMCID: PMC6410377 DOI: 10.1016/j.cell.2018.09.006
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582