Author
Listed:
- Denise Wolrab
(University of Pardubice)
- Robert Jirásko
(University of Pardubice)
- Eva Cífková
(University of Pardubice)
- Marcus Höring
(University Hospital of Regensburg)
- Ding Mei
(National University of Singapore
National University of Singapore)
- Michaela Chocholoušková
(University of Pardubice)
- Ondřej Peterka
(University of Pardubice)
- Jakub Idkowiak
(University of Pardubice)
- Tereza Hrnčiarová
(University of Pardubice)
- Ladislav Kuchař
(Charles University and General University Hospital in Prague)
- Robert Ahrends
(University of Vienna)
- Radana Brumarová
(Institute of Molecular and Translational Medicine)
- David Friedecký
(Institute of Molecular and Translational Medicine)
- Gabriel Vivo-Truyols
(Tecnometrix)
- Pavel Škrha
(Charles University)
- Jan Škrha
(Charles University)
- Radek Kučera
(University Hospital in Pilsen)
- Bohuslav Melichar
(Palacký University and University Hospital)
- Gerhard Liebisch
(University Hospital of Regensburg)
- Ralph Burkhardt
(University Hospital of Regensburg)
- Markus R. Wenk
(National University of Singapore
National University of Singapore)
- Amaury Cazenave-Gassiot
(National University of Singapore
National University of Singapore)
- Petr Karásek
(Masaryk Memorial Cancer Institute)
- Ivo Novotný
(Masaryk Memorial Cancer Institute)
- Kristína Greplová
(Masaryk University
Masaryk Memorial Cancer Institute)
- Roman Hrstka
(Masaryk Memorial Cancer Institute)
- Michal Holčapek
(University of Pardubice)
Abstract
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.
Suggested Citation
Denise Wolrab & Robert Jirásko & Eva Cífková & Marcus Höring & Ding Mei & Michaela Chocholoušková & Ondřej Peterka & Jakub Idkowiak & Tereza Hrnčiarová & Ladislav Kuchař & Robert Ahrends & Radana Brum, 2022.
"Lipidomic profiling of human serum enables detection of pancreatic cancer,"
Nature Communications, Nature, vol. 13(1), pages 1-16, December.
Handle:
RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-27765-9
DOI: 10.1038/s41467-021-27765-9
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