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Related Experiment Video

Updated: Oct 21, 2025

Development of Compendium for Esophageal Squamous Cell Carcinoma
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Published on: April 12, 2024

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

Xiannian Zhang1, Linna Peng2, Yingying Luo2

  • 1School of Basic Medical Sciences, Beijing Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.

Nature Communications
|September 7, 2021
PubMed

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Summary
This summary is machine-generated.

This study maps the complex cellular landscape of esophageal squamous-cell carcinoma (ESCC) tumors using single-cell data. Findings reveal an immunosuppressive tumor microenvironment (TME) and identify potential markers for precision care in ESCC.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Esophageal squamous-cell carcinoma (ESCC) is a major global health concern with a poorly understood tumor microenvironment (TME).
  • Understanding the cellular composition and interactions within the ESCC TME is crucial for developing effective therapies.

Purpose of the Study:

  • To comprehensively analyze the cellular ecosystem of ESCC tumors.
  • To identify distinct cell types, their interactions, and their relationship with somatic mutations.
  • To uncover potential biomarkers for patient survival and precision medicine.

Main Methods:

  • Single-cell RNA sequencing (scRNA-seq) of 208,659 cells from 60 ESCC patients.
  • Identification of gene expression programs in malignant epithelial cells.

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  • Cell type classification including immune and non-immune stromal subtypes.
  • Analysis of cell-cell interactions and correlation with somatic mutations.
  • Main Results:

    • Characterization of 8 common expression programs in malignant epithelial cells.
    • Discovery of 42 distinct cell types within the TME (26 immune, 16 non-immune).
    • Identification of significant survival-associated markers and an overall immunosuppressive TME.
    • Linkage between cancer cell transcriptomes and somatic mutations.

    Conclusions:

    • The study provides a high-resolution map of the ESCC cellular landscape.
    • Reveals an immunosuppressive TME in ESCC, offering insights into treatment resistance.
    • Identifies potential therapeutic targets and prognostic markers for precision oncology in ESCC.