Single-cell analyses identify circulating anti-tumor CD8 T cells and markers for their enrichment

Kristen E. Pauken(Brigham and Women's Hospital), Osmaan Shahid(Dana-Farber Cancer Institute), Kaitlyn A. Lagattuta(Harvard University), Kelly M. Mahuron(University of California, San Francisco), Jacob M. Luber(Broad Institute), Margaret M. Lowe(University of California, San Francisco), Linglin Huang(Harvard University), Conor P. Delaney(Dana-Farber Cancer Institute), Jaclyn M. Long(Brigham and Women's Hospital), Megan E. Fung(Dana-Farber Cancer Institute), Kathleen Newcomer(Dana-Farber Cancer Institute), Katy K. Tsai(University of California, San Francisco), Melissa Chow(University of California, San Francisco), Samantha Guinn(Brigham and Women's Hospital), Juhi R. Kuchroo(Brigham and Women's Hospital), Kelly P. Burke(Brigham and Women's Hospital), Jason M. Schenkel(Brigham and Women's Hospital), Michael D. Rosenblum(University of California, San Francisco), Adil Daud(University of California, San Francisco), Arlene H. Sharpe(Broad Institute), Meromit Singer(Broad Institute)
The Journal of Experimental Medicine
December 10, 2020
Cited by 124Open Access
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Abstract

The ability to monitor anti-tumor CD8+ T cell responses in the blood has tremendous therapeutic potential. Here, we used paired single-cell RNA and TCR sequencing to detect and characterize "tumor-matching" (TM) CD8+ T cells in the blood of mice with MC38 tumors or melanoma patients using the TCR as a molecular barcode. TM cells showed increased activation compared with nonmatching T cells in blood and were less exhausted than matching cells in tumors. Importantly, PD-1, which has been used to identify putative circulating anti-tumor CD8+ T cells, showed poor sensitivity for identifying TM cells. By leveraging the transcriptome, we identified candidate cell surface markers for TM cells in mice and patients and validated NKG2D, CD39, and CX3CR1 in mice. These data show that the TCR can be used to identify tumor-relevant cells for characterization, reveal unique transcriptional properties of TM cells, and develop marker panels for tracking and analysis of these cells.


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