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Article Abstract

Background: Colorectal cancer (CRC) is one of the most common malignancies worldwide, and its complex pathogenesis and significant tumor cell heterogeneity remain major challenges. With the rapid development of single-cell sequencing technology, we can now delve deeper into the cellular composition and dynamic changes within the tumor microenvironment, revealing cellular interactions and their potential roles in tumorigenesis.

Method: In this study, we systematically analyzed comprehensive single-cell RNA sequencing data from 25 colorectal cancer and 10 adjacent normal tissue samples. We explored the characteristics and biological significance of tumor cell subpopulations, performed quality control, dimensionality reduction, and cell type identification, and further investigated epithelial cell copy number variations, cell communication, and pseudotime analysis. Subsequently, Boruta feature selection algorithm was combined to identify prognosis related genes. The expression patterns, clinical significance and biological effects of were validated .

Results: Our analysis found an epithelial cell subcluster with high expression of exhibited high proliferation and migration abilities, and it was also associated with the dysregulated immune microenvironment. After further experimental verification, we proved the high expression patterns and clinical significance of . Downregulation of in CRC cells resulted in a reduction of proliferation, migration and invasion.

Conclusion: Our study has identified a cell subcluster that is closely linked to progression, immune dysregulation and prognosis in CRC, and we have also identified as its hub gene that has great potential to become a new immunotherapeutic targets target for CRC.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130013PMC
http://dx.doi.org/10.3389/fimmu.2025.1586428DOI Listing

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