Cargando…
Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics
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 bi...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Endocrine Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594461/ https://www.ncbi.nlm.nih.gov/pubmed/31125048 http://dx.doi.org/10.1210/en.2019-00165 |
_version_ | 1783430248330690560 |
---|---|
author | Fest, Jesse Vijfhuizen, Lisanne S Goeman, Jelle J Veth, Olga Joensuu, Anni Perola, Markus Männistö, Satu Ness-Jensen, Eivind Hveem, Kristian Haller, Toomas Tonisson, Neeme Mikkel, Kairit Metspalu, Andres van Duijn, Cornelia M Ikram, Arfan Stricker, Bruno H Ruiter, Rikje van Eijck, Casper H J van Ommen, Gert-Jan B ʼt Hoen, Peter A C |
author_facet | Fest, Jesse Vijfhuizen, Lisanne S Goeman, Jelle J Veth, Olga Joensuu, Anni Perola, Markus Männistö, Satu Ness-Jensen, Eivind Hveem, Kristian Haller, Toomas Tonisson, Neeme Mikkel, Kairit Metspalu, Andres van Duijn, Cornelia M Ikram, Arfan Stricker, Bruno H Ruiter, Rikje van Eijck, Casper H J van Ommen, Gert-Jan B ʼt Hoen, Peter A C |
author_sort | Fest, Jesse |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6594461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Endocrine Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-65944612019-08-20 Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics Fest, Jesse Vijfhuizen, Lisanne S Goeman, Jelle J Veth, Olga Joensuu, Anni Perola, Markus Männistö, Satu Ness-Jensen, Eivind Hveem, Kristian Haller, Toomas Tonisson, Neeme Mikkel, Kairit Metspalu, Andres van Duijn, Cornelia M Ikram, Arfan Stricker, Bruno H Ruiter, Rikje van Eijck, Casper H J van Ommen, Gert-Jan B ʼt Hoen, Peter A C Endocrinology Research Articles 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. Endocrine Society 2019-05-24 /pmc/articles/PMC6594461/ /pubmed/31125048 http://dx.doi.org/10.1210/en.2019-00165 Text en Copyright © 2019 Endocrine Society https://creativecommons.org/licenses/by/4.0/ This article has been published under the terms of the Creative Commons Attribution License (CC BY; https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Articles Fest, Jesse Vijfhuizen, Lisanne S Goeman, Jelle J Veth, Olga Joensuu, Anni Perola, Markus Männistö, Satu Ness-Jensen, Eivind Hveem, Kristian Haller, Toomas Tonisson, Neeme Mikkel, Kairit Metspalu, Andres van Duijn, Cornelia M Ikram, Arfan Stricker, Bruno H Ruiter, Rikje van Eijck, Casper H J van Ommen, Gert-Jan B ʼt Hoen, Peter A C Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics |
title | Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics |
title_full | Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics |
title_fullStr | Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics |
title_full_unstemmed | Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics |
title_short | Search for Early Pancreatic Cancer Blood Biomarkers in Five European Prospective Population Biobanks Using Metabolomics |
title_sort | search for early pancreatic cancer blood biomarkers in five european prospective population biobanks using metabolomics |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594461/ https://www.ncbi.nlm.nih.gov/pubmed/31125048 http://dx.doi.org/10.1210/en.2019-00165 |
work_keys_str_mv | AT festjesse searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT vijfhuizenlisannes searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT goemanjellej searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT vetholga searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT joensuuanni searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT perolamarkus searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT mannistosatu searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT nessjenseneivind searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT hveemkristian searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT hallertoomas searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT tonissonneeme searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT mikkelkairit searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT metspaluandres searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT vanduijncorneliam searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT ikramarfan searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT strickerbrunoh searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT ruiterrikje searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT vaneijckcasperhj searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT vanommengertjanb searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics AT ʼthoenpeterac searchforearlypancreaticcancerbloodbiomarkersinfiveeuropeanprospectivepopulationbiobanksusingmetabolomics |