Evidence map›Paper›PMID 37849011›Full record

ArticleCancer & metabolism2023

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

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 19 citations in OpenAlex.

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  8. Molecular Reactivity in Maternal Pregnancy Blood and Neonatal Dried Blood Spots Is Associated with the Risk of Pediatric Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Linda VidmanDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden. linda.vidman@umu.se.
Rui ZhengDepartment of Surgical Sciences, Medical Epidemiology, Uppsala University, Uppsala, Sweden.
Stina BodénDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Anton RibbenstedtDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Marc J GunterNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.
Richard PalmqvistDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Sophia HarlidDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Carl BruniusDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Bethany Van GuelpenDepartment of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
Umeå University · SEChalmers University of Technology · SEImperial College London · GBUppsala University · SE

Funding

World Health Organization 001
6 · The paper itself

Abstract

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.

Indexed as

Colorectal cancerEarly detectionUntargeted metabolomics

Identifiers

PMID37849011
PMCPMC10583301
OpenAlexW4387707076

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.