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Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Proteome Res. 2021, 20, 3, 1744-1753
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Early Detection of Pancreatic Cancer in Type 2 Diabetes Mellitus Patients Based on 1H NMR Metabolomics

  • Lenka Michálková
    Lenka Michálková
    Department of Analytical Chemistry, Institute of Chemical Process Fundamentals of the CAS, Prague 6 16502, Czech Republic
    Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague 6 16628, Czech Republic
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    • , 
  • Štěpán Horník
    Štěpán Horník
    Department of Analytical Chemistry, Institute of Chemical Process Fundamentals of the CAS, Prague 6 16502, Czech Republic
    Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague 6 16628, Czech Republic
    More by Štěpán Horník
    Orcidhttp://orcid.org/0000-0002-6287-0314
    • , 
  • Jan Sýkora*
    Jan Sýkora
    Department of Analytical Chemistry, Institute of Chemical Process Fundamentals of the CAS, Prague 6 16502, Czech Republic
    *Email: [email protected]
    More by Jan Sýkora
    Orcidhttp://orcid.org/0000-0002-2930-8880
    • , 
  • Lucie Habartová
    Lucie Habartová
    Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague 6 16628, Czech Republic
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    • , 
  • Vladimír Setnička
    Vladimír Setnička
    Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague 6 16628, Czech Republic
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    • , and 
  • Bohuš Bunganič*
    Bohuš Bunganič
    Department of Internal Medicine, 1st Faculty of Medicine of Charles University and Military University Hospital, Prague 6 16902, Czech Republic
    *Email: [email protected]
    More by Bohuš Bunganič
Cite this: J. Proteome Res. 2021, 20, 3, 1744–1753
Publication Date (Web):February 22, 2021
https://doi.org/10.1021/acs.jproteome.0c00990
Copyright © 2021 American Chemical Society
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Abstract

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The association of pancreatic cancer with type 2 diabetes mellitus was investigated by 1H NMR metabolomic analysis of blood plasma. Concentration data of 58 metabolites enabled discrimination of pancreatic cancer (PC) patients from healthy controls (HC) and long-term type 2 diabetes mellitus (T2DM) patients. A panel of eight metabolites was proposed and successfully tested for group discrimination. Furthermore, a prediction model for the identification of at-risk individuals for future development of pancreatic cancer was built and tested on recent-onset diabetes mellitus (RODM) patients. Six of 59 RODM samples were assessed as PC with an accuracy of more than 80%. The health condition of these individuals was re-examined, and in four cases, a correlation to the prediction was found. The current health condition can be retrospectively attributed to misdiagnosed pancreatogenic diabetes or to early-stage pancreatic cancer.

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The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jproteome.0c00990.

  • Biochemical characteristics of the samples; acute and chronic medication of PC and T2DM patients; statistically significant metabolites; confusion matrix for simultaneous discrimination of PC, T2DM, and HC; metabolic pathway analysis of the group discrimination; PCA based on concentration data; OPLS-DA based on binning data; box plots of dysregulated metabolites; ROC curves; and CT, MRI, and EUC of at-risk RODM patients (PDF)

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