ArticleiScience2024
Tumor niche network-defined subtypes predict immunotherapy response of esophageal squamous cell cancer.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Research progress on the compositional characteristics of the tumor immune microenvironment and immunopredictive models in esophageal squamous cell carcinoma.Cancer biology & therapy · 2026Review
- Niches in cancer: from primary tumors to metastatic disease.Journal of hematology & oncology · 2026Review
- Atlas-Guided Nanocarrier Strategies Targeting Spatial NTRK2/MAPK Signaling in EGFR-TKI-Resistant Niches of Esophageal Squamous Cell Carcinoma.Pharmaceutics · 2026Review
- Single-Cell Lineage Trajectory Defines Cyclin-Dependent Kinase Inhibitor-Sensitive Cells-of-Origin in Esophageal Squamous Cell Carcinoma.Gastro hep advances · 2026Article
- Mast cell driven immunometabolism as a therapeutic entry point in ESCC.Frontiers in cell and developmental biology · 2026Review
- Deciphering precursor cell dynamics in esophageal preneoplasia via genetic barcoding and single-cell transcriptomics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Deciphering Precursor Cell Dynamics in Esophageal Preneoplasia via Genetic Barcoding and Single-Cell Transcriptomics.bioRxiv : the preprint server for biology · 2025Article
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16 authors.
Funding
Abstract
Despite the promising outcomes of immune checkpoint inhibitors (ICIs), resistance to ICI presents a new challenge. Therefore, selecting patients for specific ICI applications is crucial for maximizing therapeutic efficacy. Herein, we curated 69 human esophageal squamous cell cancer (ESCC) patients' tumor microenvironment (TME) single-cell transcriptomic datasets to subtype ESCC. Integrative analyses of the cellular network and transcriptional signatures of T cells and myeloid cells define distinct ESCC subtypes characterized by T cell exhaustion, and interleukin (IL) and interferon (IFN) signaling. Furthermore, this approach classifies ESCC patients into ICI responders and non-responders, as validated by whole tumor transcriptomes and liquid biopsy-based single-cell transcriptomes of anti-PD-1 ICI responders and non-responders. Our study stratifies ESCC patients based on TME transcriptional network, providing novel insights into tumor niche remodeling and potentially predicting ICI responses in ESCC patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.