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...
Published in: | Cancer & Metabolism |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Uppsala universitet, Medicinsk epidemiologi
2023
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-516055 https://doi.org/10.1186/s40170-023-00319-x |
id |
ftuppsalauniv:oai:DiVA.org:uu-516055 |
---|---|
record_format |
openpolar |
spelling |
ftuppsalauniv:oai:DiVA.org:uu-516055 2024-02-04T10:03:18+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 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-516055 https://doi.org/10.1186/s40170-023-00319-x eng eng Uppsala universitet, Medicinsk epidemiologi Umeå Univ, Dept Radiat Sci, Oncol, Umeå, Sweden. Umeå Univ, Dept Radiat Sci, Oncol, Umeå, Sweden.;Umeå Univ, Dept Clin Sci, Pediat, Umeå, Sweden. Chalmers Univ Technol, Dept Biol & Biol Engn, Gothenburg, Sweden.;Chalmers Univ Technol, Chalmers Mass Spectrometry Infrastruct, Gothenburg, Sweden. WHO, Nutr & Metab Branch, Int Agcy Res Canc, Lyon, France.;Imperial Coll London, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England. Umeå Univ, Dept Med Biosci, Pathol, Umeå, Sweden. Umeå Univ, Dept Radiat Sci, Oncol, Umeå, Sweden.;Umeå Univ, Wallenberg Ctr Mol Med, Umeå, Sweden. Cancer & Metabolism, 2023, 11:1, http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-516055 doi:10.1186/s40170-023-00319-x PMID 37849011 ISI:001088049400001 info:eu-repo/semantics/openAccess Untargeted metabolomics Colorectal cancer Early detection Cancer and Oncology Cancer och onkologi Article in journal info:eu-repo/semantics/article text 2023 ftuppsalauniv https://doi.org/10.1186/s40170-023-00319-x 2024-01-10T23:31:58Z 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. Article in Journal/Newspaper Northern Sweden Uppsala University: Publications (DiVA) Cancer & Metabolism 11 1 |
institution |
Open Polar |
collection |
Uppsala University: Publications (DiVA) |
op_collection_id |
ftuppsalauniv |
language |
English |
topic |
Untargeted metabolomics Colorectal cancer Early detection Cancer and Oncology Cancer och onkologi |
spellingShingle |
Untargeted metabolomics Colorectal cancer Early detection Cancer and Oncology Cancer och onkologi 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 |
Untargeted metabolomics Colorectal cancer Early detection Cancer and Oncology Cancer och onkologi |
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. |
format |
Article in Journal/Newspaper |
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 |
publisher |
Uppsala universitet, Medicinsk epidemiologi |
publishDate |
2023 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-516055 https://doi.org/10.1186/s40170-023-00319-x |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
Cancer & Metabolism, 2023, 11:1, http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-516055 doi:10.1186/s40170-023-00319-x PMID 37849011 ISI:001088049400001 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1186/s40170-023-00319-x |
container_title |
Cancer & Metabolism |
container_volume |
11 |
container_issue |
1 |
_version_ |
1789970623550717952 |