Lipidomic profiling of human serum enables detection of pancreatic cancer
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F22%3A39918847" target="_blank" >RIV/00216275:25310/22:39918847 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00669806:_____/22:10437035 RIV/00098892:_____/22:10157344 RIV/61989592:15110/22:73610018 RIV/00064165:_____/22:10437035 a 4 dalších
Výsledek na webu
<a href="https://www.nature.com/articles/s41467-021-27765-9" target="_blank" >https://www.nature.com/articles/s41467-021-27765-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41467-021-27765-9" target="_blank" >10.1038/s41467-021-27765-9</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Lipidomic profiling of human serum enables detection of pancreatic cancer
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Lipidomic profiling of human serum enables detection of pancreatic cancer
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10406 - Analytical chemistry
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Nature Communications
ISSN
2041-1723
e-ISSN
2041-1723
Svazek periodika
13
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
16
Strana od-do
124
Kód UT WoS článku
000797924100001
EID výsledku v databázi Scopus
2-s2.0-85122870459