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Updated: Jun 24, 2025

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Ex vivo Live Imaging of Lung Metastasis and Their Microenvironment
Published on: February 3, 2016
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Identification and Characterization of Metastasis-Initiating Cells in ESCC in a Multi-Timepoint Pulmonary Metastasis
Ching Ngar Wong1, Yu Zhang2,3, Beibei Ru4
1Department of Clinical Oncology, Centre for Cancer Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, 999077, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|June 12, 2024
Summary
Metastasis-initiating cells drive esophageal squamous cell carcinoma (ESCC) lung metastasis. Identifying metastasis-initiating signature genes (MIS) in ESCC may predict patient outcomes and improve treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Metastasis remains a significant challenge in esophageal squamous cell carcinoma (ESCC) treatment.
- Understanding the early stages of metastasis is crucial for developing effective therapies.
Purpose of the Study:
- To identify and characterize metastasis-initiating cells (MICs) in ESCC.
- To discover molecular signatures associated with ESCC metastasis.
- To evaluate the predictive value of these signatures in clinical samples.
Main Methods:
- Single-cell RNA sequencing of lung metastatic ESCC cells in a mouse model.
- Differential gene expression analysis to identify metastasis-initiating signature genes (MIS).
- Functional assays to assess MIC capabilities.
- Multiplex immunohistochemistry (mIHC) on clinical ESCC samples.
Main Results:
- A subpopulation of ESCC cells (Cluster S) identified as MICs was found to colonize lung metastatic sites.
- Seven MIS, including CD44 and TACSTD2, were identified, with CD44high MICs showing enhanced survival, migration, invasion, stemness, and metastasis.
- Bioinformatics analysis suggested MICs may remodel the early metastatic microenvironment.
- Early metastasizing cells exhibited a quasi-epithelial-mesenchymal phenotype.
- Differential MIS expression scores (dMISs) in clinical samples predicted lymph node metastasis, overall survival, and carcinothrombosis risk.
Conclusions:
- MICs play a critical role in ESCC lung metastasis.
- The identified MIS, particularly CD44, are key drivers of ESCC metastatic potential.
- MIS expression levels can serve as predictive biomarkers for patient prognosis in ESCC.

