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Single-Cell Transcriptomic Analysis Reveals Dynamic Changes in the Liver Microenvironment During Colorectal Cancer Metastatic Progression

GSE284449 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/03/19 Platform GPL34290Platform GPL24247
Summary
Background: Metastasis is a leading cause of cancer-related deaths, with the liver being the most frequent site of metastasis in colorectal cancer. Previous studies have predominantly focused on the influence of the primary tumor itself on metastasis, with relatively limited research examining the changes within target organs. Methods: Using an orthotopic mouse model of colorectal cancer, single-cell sequencing was employed to profile the transcriptomic landscape of pre-metastatic and metastatic livers. The analysis focused on identifying cellular and molecular changes within the hepatic microenvironment, with particular emphasis on inflammatory pathways and immune cell populations. Results: A neutrophil subpopulation with high Prok2 expression was identified, showing elevated levels in the pre-metastatic and metastatic liver. Increased infiltration of Prok2⁺ neutrophils correlated with poor prognosis in liver metastatic colorectal cancer patients. In the liver macro-metastatic niche (MMN), these neutrophils showed high App and Cd274 (PD-L1) expression, suppressing macrophage phagocytosis and promoting T-cell exhaustion. Conclusion: A Prok2⁺ neutrophil subpopulation infiltrated both pre-metastatic and macro-metastatic liver environments, potentially driving immunosuppression through macrophage inhibition and T-cell exhaustion. Targeting Prok2⁺ neutrophils could represent a novel therapeutic strategy for preventing liver metastasis in colorectal cancer patients.
Published in
Single-cell transcriptomic analysis reveals dynamic changes in the liver microenvironment during colorectal cancer metastatic progression
Jiang Y, Long G, Huang X et al. · Journal of translational medicine 2025 · PMID 40091048 · doi:10.1186/s12967-025-06351-3
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Also filed as BioProject PRJNA1199036 and SRA study SRP551921. Searching any of these in the dataset finder brings you back here.

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