4.8 Article

Dissecting esophageal squamous-cell carcinoma ecosystem by single-cell transcriptomic analysis

Journal

NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-021-25539-x

Keywords

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Funding

  1. National Key Research and Development Program of China [2016YFC1302700]
  2. National Natural Science Foundation of China [81725015, 81988101, 21675098]
  3. Beijing Outstanding Young Scientist Program [BJJWZYJH01201910023027]
  4. Medical and Health Technology Innovation Project of Chinese Academy of Medical Sciences [2019I2M-2-001]
  5. Ministry of Science and Technology of China [2018YFA0800200]
  6. Beijing Brain Initiation [Z181100001518004]

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The study analyzed 60 ESCC patient samples using scRNA-seq, TCR-seq and genomics to identify prognostic markers associated with survival and immunosuppressive microenvironments. It revealed the complex tumor ecosystem of ESCC and the interactions between cancer cells and other cells in the tumor microenvironment. The study identified several markers significantly associated with patients' survival, providing insights for precision care of ESCC patients.
Esophageal squamous-cell carcinomas (ESCC) have poor prognosis, and detailed molecular profiles are necessary to identify prognostic markers. Here the authors analyse 60 ESCC patient samples using scRNA-seq, TCR-seq and genomics; they find mucosal immunity markers associated with survival and immunosuppressive microenvironments. Esophageal squamous-cell carcinoma (ESCC), one of the most prevalent and lethal malignant disease, has a complex but unknown tumor ecosystem. Here, we investigate the composition of ESCC tumors based on 208,659 single-cell transcriptomes derived from 60 individuals. We identify 8 common expression programs from malignant epithelial cells and discover 42 cell types, including 26 immune cell and 16 nonimmune stromal cell subtypes in the tumor microenvironment (TME), and analyse the interactions between cancer cells and other cells and the interactions among different cell types in the TME. Moreover, we link the cancer cell transcriptomes to the somatic mutations and identify several markers significantly associated with patients' survival, which may be relevant to precision care of ESCC patients. These results reveal the immunosuppressive status in the ESCC TME and further our understanding of ESCC.

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