Untargeted metabolomics of blood plasma samples of patients with hepatocellular carcinoma
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F24%3A43929805" target="_blank" >RIV/60461373:22310/24:43929805 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22340/24:43929805 RIV/60162694:G44__/25:00563433 RIV/00216208:11110/24:10483098 RIV/61383082:_____/24:00001432
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0731708524003030?via=ihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0731708524003030?via=ihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jpba.2024.116263" target="_blank" >10.1016/j.jpba.2024.116263</a>
Alternative languages
Result language
angličtina
Original language name
Untargeted metabolomics of blood plasma samples of patients with hepatocellular carcinoma
Original language description
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths in the world. HCC is often diagnosed late because patients with early-stage cancer have no apparent symptoms. Therefore, it is desirable to find a reliable method for an early diagnosis based on the detection of metabolites - biomarkers, that can be detected in the early stages of the disease. Untargeted metabolomics is often used as a tool to find a suitable biomarker for several diseases. In this work, untargeted metabolomics was performed on blood plasma samples of HCC patients and compared with healthy individuals and patients with liver cirrhosis. A combination of liquid chromatography and high-resolution mass spectrometry was used as an analytical method. More than a thousand peaks were detected in the blood plasma samples, from which mainly amino acids, carboxylic acids, lipids, and their derivatives were evaluated as potential biomarkers. The data obtained were statistically processed using the analysis of variance, correlation analysis, and principal component analysis.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
<a href="/en/project/NV19-08-00525" target="_blank" >NV19-08-00525: Early diagnostics of hepatocellular carcinoma in patients with liver cirrhosis by novel molecular spectrometric biomarkers in blood plasma</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Pharmaceutical and Biomedical Analysis
ISSN
0731-7085
e-ISSN
1873-264X
Volume of the periodical
248
Issue of the periodical within the volume
15 September
Country of publishing house
ZA - SOUTH AFRICA
Number of pages
9
Pages from-to
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UT code for WoS article
001251725400001
EID of the result in the Scopus database
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