Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort
BackgroundColorectal 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.MethodsThis study included prospecti...
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ftchalmersuniv:oai:research.chalmers.se:538275 2023-12-24T10:23:39+01:00 Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort Vidman, Linda Zheng, Rui Boden, Stina Ribbenstedt, Anton Gunter, Marc J. Palmqvist, Richard Harlid, Sophia Brunius, Carl Van Guelpen, Bethany 2023 text https://doi.org/10.1186/s40170-023-00319-x https://research.chalmers.se/en/publication/538275 unknown http://dx.doi.org/10.1186/s40170-023-00319-x https://research.chalmers.se/en/publication/538275 Cancer and Oncology Early detection Colorectal cancer Untargeted metabolomics 2023 ftchalmersuniv https://doi.org/10.1186/s40170-023-00319-x 2023-11-29T23:36:41Z BackgroundColorectal 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.MethodsThis 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.ResultsIn 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).ConclusionsThese 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. Other/Unknown Material Northern Sweden Chalmers University of Technology: Chalmers research Cancer & Metabolism 11 1 |
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Chalmers University of Technology: Chalmers research |
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ftchalmersuniv |
language |
unknown |
topic |
Cancer and Oncology Early detection Colorectal cancer Untargeted metabolomics |
spellingShingle |
Cancer and Oncology Early detection Colorectal cancer Untargeted metabolomics Vidman, Linda Zheng, Rui Boden, Stina Ribbenstedt, Anton Gunter, Marc J. Palmqvist, Richard Harlid, Sophia Brunius, Carl Van Guelpen, Bethany Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort |
topic_facet |
Cancer and Oncology Early detection Colorectal cancer Untargeted metabolomics |
description |
BackgroundColorectal 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.MethodsThis 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.ResultsIn 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).ConclusionsThese 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. |
author |
Vidman, Linda Zheng, Rui Boden, Stina Ribbenstedt, Anton Gunter, Marc J. Palmqvist, Richard Harlid, Sophia Brunius, Carl Van Guelpen, Bethany |
author_facet |
Vidman, Linda Zheng, Rui Boden, Stina Ribbenstedt, Anton Gunter, Marc J. Palmqvist, Richard Harlid, Sophia Brunius, Carl Van Guelpen, Bethany |
author_sort |
Vidman, Linda |
title |
Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort |
title_short |
Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort |
title_full |
Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort |
title_fullStr |
Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort |
title_full_unstemmed |
Untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort |
title_sort |
untargeted plasma metabolomics and risk of colorectal cancer-an analysis nested within a large-scale prospective cohort |
publishDate |
2023 |
url |
https://doi.org/10.1186/s40170-023-00319-x https://research.chalmers.se/en/publication/538275 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
http://dx.doi.org/10.1186/s40170-023-00319-x https://research.chalmers.se/en/publication/538275 |
op_doi |
https://doi.org/10.1186/s40170-023-00319-x |
container_title |
Cancer & Metabolism |
container_volume |
11 |
container_issue |
1 |
_version_ |
1786197765927206912 |