4.7 Article

Early Detection of Pancreatic Cancer in Type 2 Diabetes Mellitus Patients Based on 1H NMR Metabolomics

Journal

JOURNAL OF PROTEOME RESEARCH
Volume 20, Issue 3, Pages 1744-1753

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.0c00990

Keywords

pancreatic cancer; diabetes mellitus; pancreatogenic diabetes; NMR metabolomics

Funding

  1. Czech Ministry of Education, Youth and Sports [21-SVV/2020 (A2_FCHI_2020_022)]
  2. Czech Ministry of Defence [MO 1012]
  3. Ministry of Health of the Czech Republic [16-31028A]

Ask authors/readers for more resources

Through H-1 NMR metabolomic analysis, the association between pancreatic cancer and type 2 diabetes mellitus was identified, leading to the establishment and testing of a panel of metabolites for disease identification. A prediction model was also developed and tested on recent-onset diabetes mellitus patients, showing potential for identifying individuals at risk for developing pancreatic cancer.
The association of pancreatic cancer with type 2 diabetes mellitus was investigated by H-1 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available