SUMMARY
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.
Deciphering eukaryotic gene-regulatory logic with 100 million random promotersThe MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters.
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