ArticleMedComm2025
Discovery and Validation of Novel Biomarkers for Colorectal Neoplasia Detection via Plasma Metabolomics.
Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Discovery urinary metabolomics of preterm neonatal acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2026Observational
- Noninvasive diagnosis of colorectal adenoma: The emerging potential of blood-based biomarkers.World journal of gastroenterology · 2026Review
- Cerebrospinal Fluid Biomarkers in Creutzfeldt-Jakob Disease: Diagnostic Value, Limitations, and Future Multi-Omics Strategies.International journal of molecular sciences · 2026Review
Corrections and comments
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Authors and funding
24 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic disturbance plays a critical role in the initiation of colorectal cancer (CRC), yet the identification of metabolites that are useful for early detection of CRC and its precursor lesions remains elusive. We conducted an untargeted plasma metabolomic profiling by liquid chromatography-mass spectrometry in a two-stage case-control study, including 219 CRC cases, 164 colorectal adenoma (CRA) cases, and 219 normal controls (NC) as a training set, and 91 CRC, 115 CRA, and 109 NC as a validation set. Among 891 named metabolites, 239 were significantly altered in CRC versus NC, 26 in CRA versus NC, and 88 in CRC versus CRA within the training set. The results were stable when adjusting for potential confounders. A panel of 10 metabolites, including six lipid species, one benzenoid, one organoheterocyclic compound, one organic acid derivative, and one organic oxygen compound, showed optimal performance in discriminating CRC from NC (AUC = 0.81) in the validation. Moreover, a panel of seven metabolites exhibited optimal performance in discriminating CRA from NC, with an AUC of 0.89. Our findings provide novel evidence supporting specific plasma metabolites, particularly those implicated in lipid metabolism, as promising biomarkers for the early detection of CRC.
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Registered trials
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