Evidence map›Paper›PMID 30665271›Full record

ArticleInternational journal of cancer2019

Plasma metabolites associated with colorectal cancer: A discovery-replication strategy.

Anne J M R Geijsen, Stefanie Brezina, Pekka Keski-Rahkonen, Andreas Baierl, Thomas Bachleitner-Hofmann, Michael M Bergmann, Juergen Boehm, Hermann Brenner, Jenny Chang-Claude, Fränzel J B van Duijnhoven and 20 more

Registry-linked trialAbstract read
In one paragraph

Article in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02328677 (ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis), which is not on this map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT02328677 recruitingnot on this map

ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis

TypeobservationalSponsorUniversity of UtahRan2007 to 2030Enrolled5,000ConditionsColorectal Cancer
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
  2. Pooled it
  3. Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
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  19. Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
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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

30 authors.

Anne J M R GeijsenDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0002-9272-7703
Stefanie BrezinaInstitute of Cancer Research, Department of Medicine I, Medical University of Vienna, Austria.ORCID 0000-0001-5238-6900
Pekka Keski-RahkonenBiomarkers Group, International Agency for Research on Cancer, Lyon, France.
Andreas BaierlDepartment of Statistics and Operations Research, University of Vienna, Austria.
Thomas Bachleitner-HofmannDepartment of Surgery, Medical University Vienna, Austria.
Michael M BergmannDepartment of Surgery, Medical University Vienna, Austria.
Juergen BoehmHuntsman Cancer Institute, Salt Lake City, UT.
Hermann BrennerDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany.
Jenny Chang-ClaudeDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Fränzel J B van DuijnhovenDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.
Biljana GigicDepartment of General, Visceral and Transplantation Surgery, University of Heidelberg, Germany.
Tanja GumpenbergerInstitute of Cancer Research, Department of Medicine I, Medical University of Vienna, Austria.
Philipp HoferInstitute of Cancer Research, Department of Medicine I, Medical University of Vienna, Austria.
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Andreana N HolowatyjHuntsman Cancer Institute, Salt Lake City, UT.ORCID 0000-0001-8001-8793
Judith Karner-HanuschDepartment of Surgery, Medical University Vienna, Austria.
Dieuwertje E KokDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.
Gernot LeebHospital Oberpullendorf, Burgenland, Austria.
Arve UlvikBEVITAL, Bergen, Norway.
Nivonirina RobinotBiomarkers Group, International Agency for Research on Cancer, Lyon, France.
Jennifer OseHuntsman Cancer Institute, Salt Lake City, UT.
Anton StiftDepartment of Surgery, Medical University Vienna, Austria.
Petra Schrotz-KingDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany.
Alexis B UlrichDepartment of General, Visceral and Transplantation Surgery, University of Heidelberg, Germany.
Per Magne UelandBEVITAL, Bergen, Norway.
Ellen KampmanDivision of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.
Augustin ScalbertBiomarkers Group, International Agency for Research on Cancer, Lyon, France.
Nina HabermannDivision of Preventive Oncology, National Center for Tumor Diseases and German Cancer Research Center, Heidelberg, Germany.
Andrea GsurInstitute of Cancer Research, Department of Medicine I, Medical University of Vienna, Austria.ORCID 0000-0002-9795-1528
Cornelia M UlrichHuntsman Cancer Institute, Salt Lake City, UT.ORCID 0000-0001-7641-059X

Funding

Transdisciplinary Team Science in Colorectal Cancer Prognosis: the ColoCare StudyU01CA206110 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jane C. Figueiredo, Christopher I Li · 2016 to 2026
$18.6M
Discovery and verification of novel biomarkers of colorectal cancer recurrenceR01CA189184 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LI, CHRISTOPHER I, ULRICH, CORNELIA M · 2015 to 2020
$5.6M
Metabolomic Strategies for Discovery and Validation of Biomarkers of Colorectal Cancer RecurrenceR01CA207371 · NCI · UNIVERSITY OF UTAH · PI LI, CHRISTOPHER I, ULRICH, CORNELIA M · 2017 to 2022
$3.9M
Training Program in Genomic MedicineT32HG008962 · NHGRI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Lynn Jorde, Aaron R Quinlan · 2016 to 2026
$3.0M
Austrian Science Fund FWF I 1578NCI NIH HHS R01 CA189184NCI NIH HHS R01 CA207371NCI NIH HHS U01 CA206110NHGRI NIH HHS T32 HG008962World Health Organization 001
6 · The paper itself

Abstract

Colorectal cancer is known to arise from multiple tumorigenic pathways; however, the underlying mechanisms remain not completely understood. Metabolomics is becoming an increasingly popular tool in assessing biological processes. Previous metabolomics research focusing on colorectal cancer is limited by sample size and did not replicate findings in independent study populations to verify robustness of reported findings. Here, we performed a ultrahigh performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) screening on EDTA plasma from 268 colorectal cancer patients and 353 controls using independent discovery and replication sets from two European cohorts (ColoCare Study: n = 180 patients/n = 153 controls; the Colorectal Cancer Study of Austria (CORSA) n = 88 patients/n = 200 controls), aiming to identify circulating plasma metabolites associated with colorectal cancer and to improve knowledge regarding colorectal cancer etiology. Multiple logistic regression models were used to test the association between disease state and metabolic features. Statistically significant associated features in the discovery set were taken forward and tested in the replication set to assure robustness of our findings. All models were adjusted for sex, age, BMI and smoking status and corrected for multiple testing using False Discovery Rate. Demographic and clinical data were abstracted from questionnaires and medical records.

Indexed as

AgedCase-Control StudiesCohort StudiesColorectal NeoplasmsFemaleHumansMaleMetabolomicsMiddle Agedcolorectal cancerdiscovery-replication approachmetabolomicsUHPLC-QTOF-MS

Identifiers

PMID30665271
PMCPMC6614008

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Registered trials

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.