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


Journal

Endocrinology
ISSN: 1945-7170
Titre abrégé: Endocrinology
Pays: United States
ID NLM: 0375040

Informations de publication

Date de publication:
01 07 2019
Historique:
received: 28 02 2019
accepted: 17 05 2019
pubmed: 28 5 2019
medline: 18 12 2019
entrez: 25 5 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31125048
pii: 5497119
doi: 10.1210/en.2019-00165
pmc: PMC6594461
doi:

Substances chimiques

Biomarkers, Tumor 0
Glutamine 0RH81L854J
Histidine 4QD397987E

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1731-1742

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK075787
Pays : United States

Informations de copyright

Copyright © 2019 Endocrine Society.

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Auteurs

Jesse Fest (J)

Department of Surgery, Erasmus Medical Center, CA Rotterdam, Netherlands.
Department of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.

Lisanne S Vijfhuizen (LS)

Department of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.

Jelle J Goeman (JJ)

Department of Biomedical Data Sciences, Leiden University Medical Center, RC Leiden, Netherlands.

Olga Veth (O)

Department of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.

Anni Joensuu (A)

Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Markus Perola (M)

Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland.

Satu Männistö (S)

Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.

Eivind Ness-Jensen (E)

HUNT Research Center, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway.

Kristian Hveem (K)

HUNT Research Center, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway.

Toomas Haller (T)

Institute of Genomics, University of Tartu, Tartu, Estonia.

Neeme Tonisson (N)

Institute of Genomics, University of Tartu, Tartu, Estonia.
Department of Clinical Genetics, Tartu University Hospital, Tartu, Estonia.

Kairit Mikkel (K)

Institute of Genomics, University of Tartu, Tartu, Estonia.

Andres Metspalu (A)

Institute of Genomics, University of Tartu, Tartu, Estonia.

Cornelia M van Duijn (CM)

Department of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.

Arfan Ikram (A)

Department of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.

Bruno H Stricker (BH)

Department of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.

Rikje Ruiter (R)

Department of Epidemiology, Erasmus Medical Center, CA Rotterdam, Netherlands.

Casper H J van Eijck (CHJ)

Department of Surgery, Erasmus Medical Center, CA Rotterdam, Netherlands.

Gert-Jan B van Ommen (GB)

Department of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.

Peter A C ʼt Hoen (PAC)

Department of Human Genetics, Leiden University Medical Center, RC Leiden, Netherlands.
Center for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, GA Nijmegen, Netherlands.

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Classifications MeSH