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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Published in:Cancer & Metabolism
Main Authors: Vidman, Linda, Zheng, Rui, Boden, Stina, Ribbenstedt, Anton, Gunter, Marc J., Palmqvist, Richard, Harlid, Sophia, Brunius, Carl, Van Guelpen, Bethany
Language:unknown
Published: 2023
Subjects:
Online Access:https://doi.org/10.1186/s40170-023-00319-x
https://research.chalmers.se/en/publication/538275
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spelling 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
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id 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
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