ArticleScientific reports2021
Comprehensive polar metabolomics and lipidomics profiling discriminates the transformed from the non-transformed state in colon tissue and cell lines.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Utility of Lipidomic Analysis in Colorectal Cancer Diagnosis and Prognosis-A Systematic Review of Recent Literature.International journal of molecular sciences · 2024Pooled it
- Effect of oxygen and nanoparticles on human skin and colon cells exposed to synchrotron-based X-ray FLASH beams.Journal of synchrotron radiation · 2026Article
- Cellular level lipidomics of two-dimensional cultures of adherent gut epithelial cell lines confirms a metabolic switch.The Analyst · 2026Article
- Decoding cell fate: integrated experimental and computational analysis at the single-cell level.Bioinformatics (Oxford, England) · 2025Review
- DiffN Selection of Tandem Mass Spectrometry Precursors.Analytical chemistry · 2023Article
- Lipidomic comparison of 2D and 3D colon cancer cell culture models.Journal of mass spectrometry : JMS · 2022Article
- Patient-Derived Organoids of Colorectal Cancer: A Useful Tool for Personalized Medicine.Journal of personalized medicine · 2022Review
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Authors and funding
5 authors.
Funding
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Abstract
Colorectal cancer (CRC) is the fourth most lethal disease worldwide. Despite an urgent need for therapeutic advance, selective target identification in a preclinical phase is hampered by molecular and metabolic variations between cellular models. To foster optimal model selection from a translational perspective, we performed untargeted ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry-based polar metabolomics and lipidomics to non-transformed (CCD841-CON and FHC) and transformed (HCT116, HT29, Caco2, SW480 and SW948) colon cell lines as well as tissue samples from ten colorectal cancer patients. This unveiled metabolic signatures discriminating the transformed from the non-transformed state. Metabolites involved in glutaminolysis, tryptophan catabolism, pyrimidine, lipid and carnitine synthesis were elevated in transformed cells and cancerous tissue, whereas those involved in the glycerol-3-phosphate shuttle, urea cycle and redox reactions were lowered. The degree of glutaminolysis and lipid synthesis was specific to the colon cancer cell line at hand. Thus, our study exposed pathways that are specifically associated with the transformation state and revealed differences between colon cancer cell lines that should be considered when targeting cancer-associated pathways.
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