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首页> 外文期刊>Scientific reports. >Metabolomics Identifies Biomarker Pattern for Early Diagnosis of Hepatocellular Carcinoma: from Diethylnitrosamine Treated Rats to Patients
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Metabolomics Identifies Biomarker Pattern for Early Diagnosis of Hepatocellular Carcinoma: from Diethylnitrosamine Treated Rats to Patients

机译:代谢组学识别用于早期诊断肝细胞癌的生物标志物模式:从二乙基亚胺处理的大鼠对患者

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Early diagnosis of hepatocellular carcinoma (HCC) remains challenging to date. Characteristic metabolic deregulations of HCC may enable novel biomarkers discovery for early diagnosis. A capillary electrophoresis-time of flight mass spectrometry (CE-TOF/MS)-based metabolomics approach was performed to discover and validate potential biomarkers for HCC from the diethylnitrosamine-induced rat hepatocarcinogenesis model to human subjects. Time series sera from the animal model were evaluated using multivariate and univariate analyses to reveal dynamic metabolic changes. Two independent human cohorts (populations I and II) containing 122 human serum specimens were enrolled for validations. A novel biomarker pattern of ratio creatine/betaine which reflects the balance of methylation was identified. This biomarker pattern achieved effective classification of pre-HCC and HCC stages in animal model. It was still effective in the diagnosis of HCC from high-risk patients with cirrhotic nodules, achieving AUC values of 0.865 and 0.905 for two validation cohorts, respectively. The diagnosis of small HCC from cirrhosis with an AUC of 0.928 highlighted the potential for early diagnosis. This ratio biomarker can also improve the diagnostic performance of α-fetoprotein (AFP). This study demonstrates the efficacy of present strategy for biomarker discovery, and the potential of metabolomics approach to provide novel insights for disease study.
机译:迄今为止,早期诊断肝细胞癌(HCC)仍然具有挑战性。 HCC的特征代谢放入剂可使新的生物标志物发现早期诊断。进行了飞行质谱(CE-TOF / MS)的毛细管电泳时间(CE-TOF / MS),以发现和验证从二乙基亚硝胺诱导的大鼠肝癌发生模型对人受试者的HCC潜在的生物标志物。使用多元和单变量分析来评估来自动物模型的时间序列Sera,以揭示动态代谢变化。含有122个人血清标本的两个独立的人群(种群I和II)被纳入验证。鉴定了反映甲基化平衡的肌肉/甜菜的新型生物标志物模式。这种生物标志物模式达到了动物模型中HEC级和HCC阶段的有效分类。它仍然有效地在肝硬化患者的高风险患者诊断HCC,分别实现了两个验证队列的0.865和0.905的AUC值。来自肝硬化的小型HCC诊断为0.928的肝硬化突出了早期诊断的潜力。该比率生物标志物还可以提高α-胎蛋白(AFP)的诊断性能。本研究表明了对生物标志物发现的目前战略的效果,以及代谢组学方法提供了对疾病研究的新见解的潜力。

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