1. Academic Validation
  2. Phenotypic heterogeneity and plasticity in colorectal cancer metastasis

Phenotypic heterogeneity and plasticity in colorectal cancer metastasis

  • Cell Genom. 2025 Jul 9;5(7):100881. doi: 10.1016/j.xgen.2025.100881.
Samuel Ogden 1 Nasrine Metic 1 Ozen Leylek 1 Elise A Smith 1 Alison M Berner 1 Ann-Marie Baker 2 Imran Uddin 3 Marta Buzzetti 1 Marco Gerlinger 1 Cancer Tissue Bank 1 Trevor Graham 2 Hemant M Kocher 1 Mirjana Efremova 4
Affiliations

Affiliations

  • 1 Barts Cancer Institute, Queen Mary University of London, London, UK.
  • 2 The Institute of Cancer Research, London, UK.
  • 3 CRUK City of London Centre Single Cell Genomics Facility, University College London, London, UK.
  • 4 Barts Cancer Institute, Queen Mary University of London, London, UK. Electronic address: m.efremova@qmul.ac.uk.
Abstract

Phenotypic heterogeneity and plasticity in colorectal Cancer (CRC) has a crucial role in tumor progression, metastasis, and therapy resistance. However, the regulatory factors and the extrinsic signals driving phenotypic heterogeneity remain unknown. Using a combination of single-cell multiomics and spatial transcriptomics data from primary and metastatic CRC patients, we reveal Cancer cell states with regenerative and inflammatory phenotypes that closely resemble metastasis-initiating cells in mouse models. We identify an intermediate population with a hybrid regenerative and stem phenotype. We reveal the transcription factors AP-1 and nuclear factor κB (NF-κB) as their key regulators and show localization of these states in an immunosuppressive niche both at the invasive edge in primary CRC and in liver metastasis. We uncover ligand-receptor interactions predicted to activate the regenerative and inflammatory phenotype in Cancer cells. Together, our findings reveal regulatory and signaling factors that mediate distinct Cancer cell states and can serve as potential targets to impair metastasis.

Keywords

AP-1; NOTUM; colorectal cancer; metastasis; phenotypic heterogeneity; plasticity; single-cell multiomics; spatial transcriptomics.

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