Böhmová Adéla, Mikoška Miloš, Syslová Kamila, Šindelářová Dominika, Hříbek Petr, Urbánek Petr, Setnička Vladimír
Department of Organic Technology, 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.
J Pharm Biomed Anal. 2024 Sep 15;248:116263. doi: 10.1016/j.jpba.2024.116263. Epub 2024 May 28.
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.
肝细胞癌（HCC）是全球癌症相关死亡的主要原因之一。HCC通常在晚期才被诊断出来，因为早期癌症患者没有明显症状。因此，期望找到一种基于代谢物（生物标志物）检测的可靠早期诊断方法，这些代谢物可在疾病早期被检测到。非靶向代谢组学常被用作寻找多种疾病合适生物标志物的工具。在这项研究中，对HCC患者的血浆样本进行了非靶向代谢组学分析，并与健康个体和肝硬化患者进行了比较。采用液相色谱和高分辨率质谱联用作为分析方法。在血浆样本中检测到一千多个峰，从中主要评估了氨基酸、羧酸、脂质及其衍生物作为潜在生物标志物。使用方差分析、相关分析和主成分分析对获得的数据进行统计处理。
