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Single-cell analyses identify circulating anti-tumor CD8 T cells and markers for their enrichment.
Pauken, Kristen E; Shahid, Osmaan; Lagattuta, Kaitlyn A; Mahuron, Kelly M; Luber, Jacob M; Lowe, Margaret M; Huang, Linglin; Delaney, Conor; Long, Jaclyn M; Fung, Megan E; Newcomer, Kathleen; Tsai, Katy K; Chow, Melissa; Guinn, Samantha; Kuchroo, Juhi R; Burke, Kelly P; Schenkel, Jason M; Rosenblum, Michael D; Daud, Adil I; Sharpe, Arlene H; Singer, Meromit.
Afiliação
  • Pauken KE; Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA.
  • Shahid O; Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA.
  • Lagattuta KA; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA.
  • Mahuron KM; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA.
  • Luber JM; Harvard-MIT Medical Scientist Training Program, Harvard Medical School, Boston, MA.
  • Lowe MM; Department of Surgery, University of California, San Francisco, San Francisco, CA.
  • Huang L; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA.
  • Delaney C; Broad Institute of MIT and Harvard, Cambridge, MA.
  • Long JM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA.
  • Fung ME; Department of Dermatology, University of California, San Francisco, San Francisco, CA.
  • Newcomer K; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA.
  • Tsai KK; Department of Biostatistics, Harvard H. Chan School of Public Health, Boston, MA.
  • Chow M; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA.
  • Guinn S; Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA.
  • Kuchroo JR; Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA.
  • Burke KP; Department of Bioengineering, Northeastern University, Boston, MA.
  • Schenkel JM; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA.
  • Rosenblum MD; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA.
  • Daud AI; Department of Medicine, University of California, San Francisco, San Francisco, CA.
  • Sharpe AH; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA.
  • Singer M; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA.
J Exp Med ; 218(4)2021 04 05.
Article em En | MEDLINE | ID: mdl-33651880
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Adenocarcinoma / Neoplasias do Colo / Linfócitos T CD8-Positivos / Análise de Célula Única / Melanoma Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Cutâneas / Adenocarcinoma / Neoplasias do Colo / Linfócitos T CD8-Positivos / Análise de Célula Única / Melanoma Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article