Proteomics of colorectal tumors identifies the role of CAVIN1 in tumor relapse

Colorectal cancer molecular signatures derived from omics data can be employed to stratify CRC patients and aid decisions about therapies or evaluate prognostic outcome. However, molecular biomarkers for identification of patients at increased risk of disease relapse are currently lacking. Here, we present a comprehensive multi-omics analysis of a Danish colorectal cancer tumor cohort composed of 412 biopsies from tumors of 371 patients diagnosed at TNM stage II or III. From mass spectrometry-based patient proteome profiles, we classified the tumors into four molecular subtypes, including a mesenchymal-like subtype. As the mesenchymal-rich tumors are known to represent the most invasive and metastatic phenotype, we focused on the protein signature defining this subtype to evaluate their potential as relapse risk markers. Among signature-specific proteins, we followed-up Caveolae-Associated Protein-1 (CAVIN1) and demonstrated its role in tumor progression in a 3D in vitro model of colorectal cancer. Compared to previous omics analyses of CRC, our multi-omics classification provided deeper insights into EMT in cancer cells with stronger correlations with risk of relapse.

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Publication Details

Journal
Molecular Systems Biology
Published
2025-04-23
DOI
https://doi.org/10.1038/s44320-025-00102-8
Citations
3
Primary Topic
Caveolin-1 and cellular processes
Type
article
Field-Weighted Citation Impact
3.45

Funders

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article

Proteomics of colorectal tumors identifies the role of CAVIN1 in tumor relapse

Leander van der Hoeven, Claus L. Andersen, Giulia Franciosa, Jesper Velgaard Olsen et al.
3 citations
Molecular Systems Biology
Caveolin-1 and cellular processes
3.45
article

Proteomics of colorectal tumors identifies the role of CAVIN1 in tumor relapse

Leander van der Hoeven, Claus L. Andersen, Giulia Franciosa, Jesper Velgaard Olsen, Jesper B. Bramsen, Ana Martínez‐Val, Dorte B. Bekker‐Jensen, Jesper Nors, Arne Lund Jørgensen
article en
3 citations

Abstract

Colorectal cancer molecular signatures derived from omics data can be employed to stratify CRC patients and aid decisions about therapies or evaluate prognostic outcome. However, molecular biomarkers for identification of patients at increased risk of disease relapse are currently lacking. Here, we present a comprehensive multi-omics analysis of a Danish colorectal cancer tumor cohort composed of 412 biopsies from tumors of 371 patients diagnosed at TNM stage II or III. From mass spectrometry-based patient proteome profiles, we classified the tumors into four molecular subtypes, including a mesenchymal-like subtype. As the mesenchymal-rich tumors are known to represent the most invasive and metastatic phenotype, we focused on the protein signature defining this subtype to evaluate their potential as relapse risk markers. Among signature-specific proteins, we followed-up Caveolae-Associated Protein-1 (CAVIN1) and demonstrated its role in tumor progression in a 3D in vitro model of colorectal cancer. Compared to previous omics analyses of CRC, our multi-omics classification provided deeper insights into EMT in cancer cells with stronger correlations with risk of relapse.

Molecular Systems BiologyVol. 21(7)
Aalborg University Hospital (DK), Novo Nordisk Foundation (DK), Aarhus University Hospital (DK), Centro de Investigación en Red en Enfermedades Cardiovasculares (ES), Spanish National Centre for Cardiovascular Research (ES), Regional Hospital Randers (DK), Aalborg University (DK)
European Commission, Novo Nordisk, Novo Nordisk Fonden, Horizon 2020 Framework Programme, Danish Agency for Science and Higher Education
Good health and well-being
Openalex Percentile: Top 9%
Caveolin-1 and cellular processes
3.45
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