Evidence map›Paper›PMID 33664295›Full record

ArticleScientific reports2021

A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk.

Sophia Harlid, Justin Harbs, Robin Myte, Carl Brunius, Marc J Gunter, Richard Palmqvist, Xijia Liu, Bethany Van Guelpen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  5. Inflammatory protein associations with brain MRI measures: Framingham Offspring Cohort.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  6. Review
  7. Article
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  9. Biomarker Identification through Proteomics in Colorectal Cancer.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Emerging Tests for Noninvasive Colorectal Cancer Screening.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Role of the Ghrelin System in Colorectal Cancer.International journal of molecular sciences · 2022
    Review
  19. Review
  20. Hepatic FGF21: Its Emerging Role in Inter-Organ Crosstalk and Cancers.International journal of biological sciences · 2022
    Review
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

8 authors at 3 institutions in 2 countries.

Sophia HarlidDepartment of Radiation Sciences, Oncology, Umeå University, 901 87, Umeå, Sweden. sophia.harlid@umu.se.
Justin HarbsDepartment of Radiation Sciences, Oncology, Umeå University, 901 87, Umeå, Sweden.
Robin MyteDepartment of Radiation Sciences, Oncology, Umeå University, 901 87, Umeå, Sweden.
Carl BruniusDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Marc J GunterSection of Nutrition and Metabolism, International Agency for Research On Cancer, World Health Organization, Lyon, France.
Richard PalmqvistDepartment of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
Xijia LiuDepartment of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.
Bethany Van GuelpenDepartment of Radiation Sciences, Oncology, Umeå University, 901 87, Umeå, Sweden.
Umeå University · SECentre International de Recherche sur le Cancer · FRChalmers University of Technology · SE

Funding

World Health Organization 001
6 · The paper itself

Abstract

Colorectal cancer prognosis is dependent on stage, and measures to improve early detection are urgently needed. Using prospectively collected plasma samples from the population-based Northern Sweden Health and Disease Study, we evaluated protein biomarkers in relation to colorectal cancer risk. Applying a two-tiered approach, we analyzed 160 proteins in matched sequential samples from 58 incident colorectal cancer case-control pairs. Twenty-one proteins selected from both this discovery phase and the literature were then analyzed in a validation set of 450 case-control pairs. Odds ratios were estimated by conditional logistic regression. LASSO regression and ROC analysis were used for multi-marker analyses. In the main validation analysis, no proteins retained statistical significance. However, exploratory subgroup analyses showed associations between FGF-21 and colon cancer risk (multivariable OR per 1 SD: 1.23 95% CI 1.03-1.47) as well as between PPY and rectal cancer risk (multivariable OR per 1 SD: 1.47 95% CI 1.12-1.92). Adding protein markers to basic risk predictive models increased performance modestly. Our results highlight the challenge of developing biomarkers that are effective in the asymptomatic, prediagnostic window of opportunity for early detection of colorectal cancer. Distinguishing between cancer subtypes may improve prediction accuracy. However, single biomarkers or small panels may not be sufficient for effective precision screening.

Indexed as

ProteomicsAdultAgedBiomarkers, TumorColorectal NeoplasmsEarly Detection of CancerFemaleGene Expression Regulation, NeoplasticHumansLogistic ModelsMaleMiddle AgedNeoplasm ProteinsPrognosisRisk FactorsSwedenBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID33664295
PMCPMC7933352
OpenAlexW3135027734

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.