Wolrab, Denise and Jirasko, Robert and Cifkova, Eva and Horing, Marcus and Mei, Ding and Chocholouskova, Michaela and Peterka, Ondrej and Idkowiak, Jakub and Hrnciarova, Tereza and Kuchar, Ladislav and Ahrends, Robert and Brumarova, Radana and Friedecky, David and Vivo-Truyols, Gabriel and Skrha, Pavel and Skrha, Jan and Kucera, Radek and Melichar, Bohuslav and Liebisch, Gerhard and Burkhardt, Ralph and Wenk, Markus R. and Cazenave-Gassiot, Amaury and Karasek, Petr and Novotny, Ivo and Greplova, Kristina and Hrstka, Roman and Holcapek, Michal (2022) Lipidomic profiling of human serum enables detection of pancreatic cancer. NATURE COMMUNICATIONS, 13 (1): 124. ISSN , 2041-1723
Full text not available from this repository. (Request a copy)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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | TANDEM MASS-SPECTROMETRY; HIGH-THROUGHPUT QUANTIFICATION; HILIC-HPLC/ESI-MS; BREAST-CANCER; TISSUES; ADENOCARCINOMA; EXTRACTION; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Klinische Chemie und Laboratoriumsmedizin |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 29 Jan 2024 14:59 |
| Last Modified: | 29 Jan 2024 14:59 |
| URI: | https://pred.uni-regensburg.de/id/eprint/58617 |
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