Untargeted plasma metabolomics and risk of colorectal cancer : an analysis nested within a large-scale prospective cohort

• Published in: Cancer & Metabolism
• Main Authors: Vidman, Linda, Zheng, Rui, Bodén, Stina, Ribbenstedt, Anton, Gunter, Marc J., Palmqvist, Richard, Harlid, Sophia, Brunius, Carl, van Guelpen, Bethany
• Format: Article in Journal/Newspaper
• Language: English
• Published: Umeå universitet, Institutionen för matematik och matematisk statistik 2023
• Subjects: Untargeted metabolomics; Colorectal cancer; Early detection; Cancer and Oncology; Cancer och onkologi; Northern Sweden
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-218144; https://doi.org/10.1186/s40170-023-00319-x

Background: Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide, but if discovered at an early stage, the survival rate is high. The aim of this study was to identify novel markers predictive of future CRC risk using untargeted metabolomics. Methods: This study included prospectively collected plasma samples from 902 CRC cases and 902 matched cancer-free control participants from the population-based Northern Sweden Health and Disease Study (NSHDS), which were obtained up to 26 years prior to CRC diagnosis. Using reverse-phase liquid chromatography-mass spectrometry (LC-MS), data comprising 5015 metabolic features were obtained. Conditional logistic regression was applied to identify potentially important metabolic features associated with CRC risk. In addition, we investigated if previously reported metabolite biomarkers of CRC risk could be validated in this study population. Results: In the univariable analysis, seven metabolic features were associated with CRC risk (using a false discovery rate cutoff of 0.25). Two of these could be annotated, one as pyroglutamic acid (odds ratio per one standard deviation increase = 0.79, 95% confidence interval, 0.70-0.89) and another as hydroxytigecycline (odds ratio per one standard deviation increase = 0.77, 95% confidence interval, 0.67-0.89). Associations with CRC risk were also found for six previously reported metabolic biomarkers of prevalent and/or incident CRC: sebacic acid (inverse association) and L-tryptophan, 3-hydroxybutyric acid, 9,12,13-TriHOME, valine, and 13-OxoODE (positive associations). Conclusions: These findings suggest that although the circulating metabolome may provide new etiological insights into the underlying causes of CRC development, its potential application for the identification of individuals at higher risk of developing CRC is limited.