Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma.

Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma.
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DOI:
10.1016/j.cell.2018.10.038
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发表时间:
2018-11-01
期刊:
影响因子:
64.5
通讯作者:
Hacohen N
Hacohen N
中科院分区:
生物学1区
文献类型:
--
作者:
Sade-Feldman M;Yizhak K;Bjorgaard SL;Ray JP;de Boer CG;Jenkins RW;Lieb DJ;Chen JH;Frederick DT;Barzily-Rokni M;Freeman SS;Reuben A;Hoover PJ;Villani AC;Ivanova E;Portell A;Lizotte PH;Aref AR;Eliane JP;Hammond MR;Vitzthum H;Blackmon SM;Li B;Gopalakrishnan V;Reddy SM;Cooper ZA;Paweletz CP;Barbie DA;Stemmer-Rachamimov A;Flaherty KT;Wargo JA;Boland GM;Sullivan RJ;Getz G;Hacohen N

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Treatment of cancer has been revolutionized by immune checkpoint blockade therapies. Despite the high rate of response in advanced melanoma, the majority of patients succumb to disease. To identify factors associated with success or failure of checkpoint therapy, we profiled transcriptomes of 16,291 individual immune cells from 48 tumor samples of melanoma patients treated with checkpoint inhibitors. Two distinct states of CD8+ T cells were defined by clustering, and associated with patient tumor regression or progression. A single transcription factor, TCF7, was visualized within CD8+ T cells in fixed tumor samples and predicted positive clinical outcome in an independent cohort of checkpoint-treated patients. We delineated the epigenetic landscape and clonality of these T cell states, and demonstrated enhanced anti-tumor immunity by targeting novel combinations of factors in exhausted cells. Our study of immune cell transcriptomes from tumors demonstrates a strategy for identifying predictors, mechanisms and targets for enhancing checkpoint immunotherapy. Single cell analysis of immune cells from melanoma uncovers a TCF7+ memory-like state in the cytotoxic T cell population, and demonstrates its association with a positive outcome
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