Untargeted plasma metabolomics and risk of colorectal cancer—an analysis nested within a large-scale prospective cohort
Abstract 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 includ...
Published in: | Cancer & Metabolism |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
BMC
2023
|
Subjects: | |
Online Access: | https://doi.org/10.1186/s40170-023-00319-x https://doaj.org/article/ea427728981044229ce5bd73a5991b65 |
id |
ftdoajarticles:oai:doaj.org/article:ea427728981044229ce5bd73a5991b65 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:ea427728981044229ce5bd73a5991b65 2023-11-12T04:23:25+01:00 Untargeted plasma metabolomics and risk of colorectal cancer—an analysis nested within a large-scale prospective cohort Linda Vidman Rui Zheng Stina Bodén Anton Ribbenstedt Marc J. Gunter Richard Palmqvist Sophia Harlid Carl Brunius Bethany Van Guelpen 2023-10-01T00:00:00Z https://doi.org/10.1186/s40170-023-00319-x https://doaj.org/article/ea427728981044229ce5bd73a5991b65 EN eng BMC https://doi.org/10.1186/s40170-023-00319-x https://doaj.org/toc/2049-3002 doi:10.1186/s40170-023-00319-x 2049-3002 https://doaj.org/article/ea427728981044229ce5bd73a5991b65 Cancer & Metabolism, Vol 11, Iss 1, Pp 1-13 (2023) Untargeted metabolomics Colorectal cancer Early detection Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 article 2023 ftdoajarticles https://doi.org/10.1186/s40170-023-00319-x 2023-10-29T00:41:56Z Abstract 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. Article in Journal/Newspaper Northern Sweden Directory of Open Access Journals: DOAJ Articles Cancer & Metabolism 11 1 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Untargeted metabolomics Colorectal cancer Early detection Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
spellingShingle |
Untargeted metabolomics Colorectal cancer Early detection Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Linda Vidman Rui Zheng Stina Bodén Anton Ribbenstedt Marc J. Gunter Richard Palmqvist Sophia Harlid Carl Brunius Bethany Van Guelpen 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 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
description |
Abstract 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. |
format |
Article in Journal/Newspaper |
author |
Linda Vidman Rui Zheng Stina Bodén Anton Ribbenstedt Marc J. Gunter Richard Palmqvist Sophia Harlid Carl Brunius Bethany Van Guelpen |
author_facet |
Linda Vidman Rui Zheng Stina Bodén Anton Ribbenstedt Marc J. Gunter Richard Palmqvist Sophia Harlid Carl Brunius Bethany Van Guelpen |
author_sort |
Linda Vidman |
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 |
BMC |
publishDate |
2023 |
url |
https://doi.org/10.1186/s40170-023-00319-x https://doaj.org/article/ea427728981044229ce5bd73a5991b65 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
Cancer & Metabolism, Vol 11, Iss 1, Pp 1-13 (2023) |
op_relation |
https://doi.org/10.1186/s40170-023-00319-x https://doaj.org/toc/2049-3002 doi:10.1186/s40170-023-00319-x 2049-3002 https://doaj.org/article/ea427728981044229ce5bd73a5991b65 |
op_doi |
https://doi.org/10.1186/s40170-023-00319-x |
container_title |
Cancer & Metabolism |
container_volume |
11 |
container_issue |
1 |
_version_ |
1782338189198884864 |