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Lipidomic profiling of human serum enables detection of pancreatic cancer
D. Wolrab, R. Jirásko, E. Cífková, M. Höring, D. Mei, M. Chocholoušková, O. Peterka, J. Idkowiak, T. Hrnčiarová, L. Kuchař, R. Ahrends, R. Brumarová, D. Friedecký, G. Vivo-Truyols, P. Škrha, J. Škrha, R. Kučera, B. Melichar, G. Liebisch, R....
Language English Country Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
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- MeSH
- CA-19-9 Antigen blood MeSH
- Ceramides blood MeSH
- Humans MeSH
- Lipidomics methods MeSH
- Lysophosphatidylcholines blood MeSH
- Lipid Metabolism genetics MeSH
- Multivariate Analysis MeSH
- Biomarkers, Tumor blood genetics MeSH
- Pancreatic Neoplasms blood diagnosis mortality pathology MeSH
- Proportional Hazards Models MeSH
- Sensitivity and Specificity MeSH
- Sphingomyelins blood MeSH
- Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization MeSH
- Case-Control Studies MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Pancreatic cancer has the worst prognosis among all cancers. Cancer screening of body fluids may improve the survival time prognosis of patients, who are often diagnosed too late at an incurable stage. Several studies report the dysregulation of lipid metabolism in tumor cells, suggesting that changes in the blood lipidome may accompany tumor growth. Here we show that the comprehensive mass spectrometric determination of a wide range of serum lipids reveals statistically significant differences between pancreatic cancer patients and healthy controls, as visualized by multivariate data analysis. Three phases of biomarker discovery research (discovery, qualification, and verification) are applied for 830 samples in total, which shows the dysregulation of some very long chain sphingomyelins, ceramides, and (lyso)phosphatidylcholines. The sensitivity and specificity to diagnose pancreatic cancer are over 90%, which outperforms CA 19-9, especially at an early stage, and is comparable to established diagnostic imaging methods. Furthermore, selected lipid species indicate a potential as prognostic biomarkers.
3rd Department of Internal Medicine 1st Faculty of Medicine Charles University Prague Czech Republic
3rd Faculty of Medicine Charles University Prague Czech Republic
Clinic of Comprehensive Cancer Care Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Analytical Chemistry University of Vienna Vienna Austria
Department of Immunochemistry Diagnostics University Hospital in Pilsen Pilsen Czech Republic
Faculty of Medicine Masaryk University Brno Czech Republic
Palacký University Olomouc Institute of Molecular and Translational Medicine Olomouc Czech Republic
Research Centre for Applied Molecular Oncology Masaryk Memorial Cancer Institute Brno Czech Republic
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