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Tumor Niche Network-Defined Subtypes Predict Immunotherapy Response of Esophageal Squamous Cell Cancer

Kyung-Pil Ko1, Shengzhe Zhang1, Yuanjian Huang1

  • 1Department of Experimental Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Biorxiv : the Preprint Server for Biology
|February 24, 2023
PubMed

Insights

This study identifies distinct esophageal squamous cell cancer subtypes by analyzing the tumor microenvironment. These subtypes help predict patient response to immune checkpoint blockade (ICB) therapy.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Immune checkpoint blockade (ICB) shows promise but faces resistance, necessitating patient selection for optimal efficacy.
  • Esophageal squamous cell cancer (ESCC) treatment can be improved by understanding tumor microenvironment (TME) variations.

Approach:

  • Curated single-cell transcriptomic data from 69 human ESCC tumors.
  • Analyzed cellular network transcriptional signatures of T cells, myeloid cells, and fibroblasts.
  • Integrated liquid biopsy data for validation.

Key Points:

  • Defined distinct ESCC subtypes based on TME transcriptional networks.
  • Identified T cell exhaustion, Interferon (IFN) signaling, and TIGIT enrichment as key features.
  • Classified patients into ICB responders and non-responders.

Conclusions:

  • Stratified ESCC patients using TME transcriptional networks.
  • Provided insights into tumor niche remodeling.
  • Enabled prediction of ICB response in ESCC patients.
Keywords:
Esophageal squamous cell cancercancer immunotherapyimmune checkpoint inhibitorsimmunotherapy resistancesingle-cell transcriptomicstumor microenvironment (TME)

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