Evidence map›Paper›PMID 31125048›Full record

ArticleEndocrinology2019

Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics.

Jesse Fest, Lisanne S Vijfhuizen, Jelle J Goeman, Olga Veth, Anni Joensuu, Markus Perola, Satu Männistö, Eivind Ness-Jensen, Kristian Hveem, Toomas Haller and 10 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05687578 (A Prospective, Non-Randomized, Multi-Center Observational Study to Establish a Physical Baseline Profile for Individual Study Subjects Using Various Modalities and Identify Deviations Via Longitudinal Monitoring That May Develop Over Time), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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.

NCT05687578 enrolling by invitationnot on this mapstarted 2023, after this paper: background citation

A Prospective, Non-Randomized, Multi-Center Observational Study to Establish a Physical Baseline Profile for Individual Study Subjects Using Various Modalities and Identify Deviations Via Longitudinal Monitoring That May Develop Over Time

TypeobservationalSponsorPuer Research, LLCRan2023 to 2030Enrolled10,000ConditionsAgingArmsMeasurements Only
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Data Resource Profile: The HUNT Biobank.International journal of epidemiology · 2024
    Article
  8. 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
  9. Article
  10. Article
  11. Review
  12. Article
  13. Liquid biopsy approach to pancreatic cancer.World journal of gastrointestinal oncology · 2021
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
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

20 authors at 8 institutions in 4 countries.

Jesse FestDepartment of Surgery, Erasmus Medical Center, CA Rotterdam, Netherlands.
Lisanne S VijfhuizenDepartment of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.
Jelle J GoemanDepartment of Biomedical Data Sciences, Leiden University Medical Center, RC Leiden, Netherlands.
Olga VethDepartment of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.
Anni JoensuuDepartment of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Markus PerolaDepartment of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Satu MännistöDepartment of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Eivind Ness-JensenHUNT Research Center, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway.
Kristian HveemHUNT Research Center, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway.
Toomas HallerInstitute of Genomics, University of Tartu, Tartu, Estonia.
Neeme TonissonInstitute of Genomics, University of Tartu, Tartu, Estonia.
Kairit MikkelInstitute of Genomics, University of Tartu, Tartu, Estonia.
Andres MetspaluInstitute of Genomics, University of Tartu, Tartu, Estonia.
Cornelia M van DuijnDepartment of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.
Arfan IkramDepartment of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.
Bruno H StrickerDepartment of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.
Rikje RuiterDepartment of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.
Casper H J van EijckDepartment of Surgery, Erasmus Medical Center, CA Rotterdam, Netherlands.
Gert-Jan B van OmmenDepartment of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.
Peter A C ʼt HoenDepartment of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.
Erasmus MC · NLLeiden University Medical Center · NLUniversity of Tartu · EENorwegian University of Science and Technology · NOUniversity of Helsinki · FIFinnish Institute for Health and Welfare · FIRadboud University Nijmegen · NLTartu University Hospital · EE

Funding

Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
NIDDK NIH HHS R01 DK075787
6 · The paper itself

Abstract

Most patients with pancreatic cancer present with advanced disease and die within the first year after diagnosis. Predictive biomarkers that signal the presence of pancreatic cancer in an early stage are desperately needed. We aimed to identify new and validate previously found plasma metabolomic biomarkers associated with early stages of pancreatic cancer. Prediagnostic blood samples from individuals who were to receive a diagnosis of pancreatic cancer between 1 month and 17 years after sampling (N = 356) and age- and sex-matched controls (N = 887) were collected from five large population cohorts (HUNT2, HUNT3, FINRISK, Estonian Biobank, Rotterdam Study). We applied proton nuclear magnetic resonance-based metabolomics on the Nightingale platform. Logistic regression identified two interesting hits: glutamine (P = 0.011) and histidine (P = 0.012), with Westfall-Young family-wise error rate adjusted P values of 0.43 for both. Stratification in quintiles showed a 1.5-fold elevated risk for the lowest 20% of glutamine and a 2.2-fold increased risk for the lowest 20% of histidine. Stratification by time to diagnosis suggested glutamine to be involved in an earlier process (2 to 5 years before diagnosis), and histidine in a process closer to the actual onset (<2 years). Our data did not support the branched-chain amino acids identified earlier in several US cohorts as potential biomarkers for pancreatic cancer. Thus, although we identified glutamine and histidine as potential biomarkers of biological interest, our results imply that a study at this scale does not yield metabolomic biomarkers with sufficient predictive value to be clinically useful per se as prognostic biomarkers.

Indexed as

AgedBiological Specimen BanksBiomarkers, TumorCase-Control StudiesEarly DiagnosisEuropeFemaleGlutamineHistidineHumansMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedPancreatic NeoplasmsBiomarkers, TumorGlutamineHistidine

Identifiers

PMID31125048
PMCPMC6594461
OpenAlexW2951735444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.