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Metabolomics Study of Stepwise Hepatocarcinogenesis From the Model Rats to Patients: Potential Biomarkers Effective for Small Hepatocellular Carcinoma Diagnosis

机译:metabolomics study of stepwise Hepatocarcinogenesis From the model Rats to patients: potential Biomarkers Effective for small Hepatocellular Carcinoma Diagnosis

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摘要

The aim of this study is to find the potential biomarkers from the rat hepatocellular carcinoma (HCC) disease model by using a non-target metabolomics method, and test their usefulness in early human HCC diagnosis. The serum metabolic profiling of the diethylnitrosamine-induced rat HCC model, which presents a stepwise histopathological progression that is similar to human HCC, was performed using liquid chromatography-mass spectrometry. Multivariate data analysis methods were utilized to identify the potential biomarkers. Three metabolites, taurocholic acid, lysophosphoethanolamine 16: 0, and lysophosphatidylcholine 22:5, were defined as "marker metabolites," which can be used to distinguish the different stages of chemical hepatocarcinogenesis. These metabolites represented the abnormal metabolism during the progress of hepatocarcinogenesis, which could also be found in patients. To test their diagnosis potential 412 sera from 262 patients with HCC, 76 patients with cirrhosis and 74 patients with chronic hepatitis B were collected and studied, it was found that 3 marker metabolites were effective for the discrimination of small liver tumor (solitary nodules of less than 2 cm in diameter) patients, achieved a sensitivity of 80.5% and a specificity of 80.1%, which is better than those of alpha-fetoprotein (53 and 64%, respectively). Moreover, they were also effective for the discrimination of all HCCs and chronic liver disease patients, which could achieve a sensitivity of 87.5% and a specificity of 72.3%, better than those of alpha-fetoprotein (61.2 and 64%). These results indicate metabolomics method has the potential of finding biomarkers for the early diagnosis of HCC. Molecular & Cellular Proteomics 11: 10.1074/mcp.M111.010694, 1-12, 2012.
机译:这项研究的目的是通过使用非目标代谢组学方法从大鼠肝细胞癌(HCC)疾病模型中找到潜在的生物标记,并测试其在人类早期HCC诊断中的有用性。使用液相色谱-质谱法对二乙基亚硝胺诱导的大鼠肝癌模型进行血清代谢谱分析,该模型表现出与人肝癌相似的逐步组织病理学进程。利用多变量数据分析方法来识别潜在的生物标志物。三种代谢物,牛磺胆酸,溶血磷脂酰乙醇胺16:0和溶血磷脂酰胆碱22:5被定义为“标记代谢物”,可用于区分化学肝癌发生的不同阶段。这些代谢物代表肝癌发生过程中的异常代谢,也可以在患者体内发现。为了检测其从262例HCC患者,76例肝硬化患者和74例慢性乙型肝炎患者中的412例血清的诊断潜能,发现3种标志物代谢物可有效区分小肝肿瘤(少或少的结节)。直径大于2 cm的患者,其灵敏度为80.5%,特异性为80.1%,优于甲胎蛋白(分别为53和64%)。而且,它们对于所有HCC和慢性肝病患者的辨别也有效,与α-甲胎蛋白(61.2和64%)相比,它们可以达到87.5%的敏感性和72.3%的特异性。这些结果表明,代谢组学方法有可能为早期诊断HCC寻找生物标志物。分子与细胞蛋白质组学11:10.1074 / mcp.M111.010694,1-12,2012。

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