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.

Department of Analytical Chemistry University of Chemistry and Technology Prague Technická 5 Prague 6 166 28 Czech Republic

Department of Organic Technology University of Chemistry and Technology Prague Technická 5 Prague 6 166 28 Czech Republic

Military University Hospital Prague Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague U Vojenské nemocnice 1200 Prague 6 169 02 Czech Republic

Military University Hospital Prague Department of Medicine 1st Faculty of Medicine Charles University and Military University Hospital Prague U Vojenské nemocnice 1200 Prague 6 169 02 Czech Republic; Department of Internal Medicine Faculty of Military Health Sciences in Hradec Králové University of Defence Třebešská 1575 Hradec Králové 500 01 Czech Republic

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