Unknown

Dataset Information

0

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 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.

SUBMITTER: Vidman L 

PROVIDER: S-EPMC10583301 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Vidman Linda L   Zheng Rui R   Bodén Stina S   Ribbenstedt Anton A   Gunter Marc J MJ   Palmqvist Richard R   Harlid Sophia S   Brunius Carl C   Van Guelpen Bethany B  

Cancer & metabolism 20231017 1


<h4>Background</h4>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.<h4>Methods</h4>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 we  ...[more]

Similar Datasets

| S-EPMC8110540 | biostudies-literature
| S-EPMC7281133 | biostudies-literature
| S-EPMC7922413 | biostudies-literature
| S-EPMC10186604 | biostudies-literature
| S-EPMC10456436 | biostudies-literature
| S-EPMC5031781 | biostudies-literature
| S-EPMC6194742 | biostudies-literature
| S-EPMC10383057 | biostudies-literature
| S-EPMC6790579 | biostudies-literature