Potential of pre-diagnostic metabolomics for colorectal cancer risk assessment or early detection

This systematic review investigates the efficacy of metabolite biomarkers for risk assessment or early detection of colorectal cancer (CRC) and its precursors, focusing on pre-diagnostic biospecimens. Searches in PubMed, Web of Science, and SCOPUS through December 2023 identified relevant prospective studies. Relevant data were extracted, and the risk of bias was assessed with the QUADAS-2 tool. Among the 26 studies included, significant heterogeneity existed for case numbers, metabolite identification, and validation approaches. Thirteen studies evaluated individual metabolites, mainly lipids, while eleven studies derived metabolite panels, and two studies did both. Nine panels were internally validated, resulting in an area under the curve (AUC) ranging from 0.69 to 0.95 for CRC precursors and 0.72 to 1.0 for CRC. External validation was limited to one panel (AUC = 0.72). Metabolite panels and lipid-based biomarkers show promise for CRC risk assessment and early detection but require standardization and extensive validation for clinical use.

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Publication Details

Journal
npj Precision Oncology
Published
2024-10-27
DOI
https://doi.org/10.1038/s41698-024-00732-5
Citations
7
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.64

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article

Potential of pre-diagnostic metabolomics for colorectal cancer risk assessment or early detection

Rafael Cardoso, Megha Bhardwaj, Michael Hoffmeister, Hermann Brenner et al.
7 citations
npj Precision Oncology
Metabolomics and Mass Spectrometry Studies
1.64
article

Potential of pre-diagnostic metabolomics for colorectal cancer risk assessment or early detection

Rafael Cardoso, Megha Bhardwaj, Michael Hoffmeister, Hermann Brenner, Teresa Seum, Clara Frick
article en
7 citations

Abstract

This systematic review investigates the efficacy of metabolite biomarkers for risk assessment or early detection of colorectal cancer (CRC) and its precursors, focusing on pre-diagnostic biospecimens. Searches in PubMed, Web of Science, and SCOPUS through December 2023 identified relevant prospective studies. Relevant data were extracted, and the risk of bias was assessed with the QUADAS-2 tool. Among the 26 studies included, significant heterogeneity existed for case numbers, metabolite identification, and validation approaches. Thirteen studies evaluated individual metabolites, mainly lipids, while eleven studies derived metabolite panels, and two studies did both. Nine panels were internally validated, resulting in an area under the curve (AUC) ranging from 0.69 to 0.95 for CRC precursors and 0.72 to 1.0 for CRC. External validation was limited to one panel (AUC = 0.72). Metabolite panels and lipid-based biomarkers show promise for CRC risk assessment and early detection but require standardization and extensive validation for clinical use.

npj Precision OncologyVol. 8(1)
German Cancer Research Center (DE), Heidelberg University (DE), University Hospital Heidelberg (DE)
Bundesministerium für Bildung und Forschung
Good health and well-being
Openalex Percentile: Top 16%
Metabolomics and Mass Spectrometry Studies
1.64
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