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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • UT code for WoS article

    001251725400001

  • EID of the result in the Scopus database