南方医科大学学报 ›› 2019, Vol. 39 ›› Issue (01): 49-.doi: 10.12122/j.issn.1673-4254.2019.01.08

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HPLC/MS分析乙肝相关性肝细胞癌的血清代谢轮廓分析

张磊,范志娟,康华,王宇凡,刘树业,单忠强   

  • 出版日期:2019-01-20 发布日期:2019-01-20

High-performance liquid chromatography-mass spectrometry-based serum metabolic profiling in patients with HBV-related hepatocellular carcinoma

  • Online:2019-01-20 Published:2019-01-20

摘要: 目的通过HPLC/MS平台探索血清代谢物对于乙肝相关性肝细胞癌(HCC)的诊断价值。方法选取126例就诊于天津市 第三中心医院住院患者,包括27例乙肝DNA阴性乙肝肝炎患者、24例乙肝DNA阳性乙肝肝炎患者、24例乙肝肝硬化患者、27 例乙肝相关性HCC行手术/射频治疗患者以及24例乙肝相关性HCC行介入治疗患者,另选取查体中心健康志愿者25例为对照 组。将血清样本上机所得数据进行前处理,构建正交偏最小二乘判别分析(OPLS-DA)模型,基于乙肝组和正常对照组进行代 谢物初筛。根据非参数检验的结果,最终筛选和鉴定特征代谢物。利用ROC分析这些特征代谢物的临床潜在应用价值。结果 筛选并鉴定出25种特征代谢物,包括9种溶血性磷脂酰胆碱、2种脂肪酸、17 α-雌二醇、二氢神经鞘氨醇、5-甲基胞苷、维生素 K2、溶血磷脂酸、甘氨胆酸以及报道较少的8种物质。与正常对照组相比,22种代谢物在乙肝相关性HCC组中存在差异表达。 与乙肝肝硬化组相比,4种代谢物在乙肝相关性HCC组中存在差异表达。与乙肝相关性HCC行手术/射频治疗组相比,10种代 谢物在乙肝相关性HCC行介入治疗组中存在差异表达。从正常对照组到乙肝相关性HCC行介入治疗组,许多代谢物呈相同的 变化趋势。结论基于LC/MS平台,本研究成功地构建疾病区分模型并筛选和鉴定出25种特征代谢物,这些代谢物对乙肝相关 性HCC具有一定诊断和分期效能。有些特征代谢物呈连续性的变化预示着癌变的可能;有些代谢物对手术方式的选择也具有 指导意义。

Abstract: Objective To explore the diagnostic value of the serum metabolites identified by high-performance liquid chromatography-mass spectrometry (HPLC/MS) for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). Methods A total of 126 patients admitted to Tianjin Third Central Hospital were enrolled, including 27 patients with HBV-related hepatitis with negative viral DNA (DNA-N), 24 with HBV-related hepatitis with positive viral DNA, 24 with HBV-related liver cirrhosis, 27 with HBV-related HCC undergoing surgeries or radiofrequency ablation, and 24 with HBV-related HCC receiving interventional therapy, with 25 healthy volunteers as the normal control group. Serum samples were collected from all the subjects for HPLC/MS analysis, and the data were pretreated to establish an orthogonal partial least- squares discriminant analysis (OPLS-DA) model. The differential serum metabolites were preliminarily screened by comparisons between the HBV groups and the control group, and the characteristic metabolites were identified according to the results of non-parametric test. The potential clinical values of these characteristic metabolites were evaluated using receiver operator characteristic curve (ROC) analysis. Results A total of 25 characteristic metabolites were identified in the HBV- infected patients, including 9 lysophosphatidylcholines, 2 fatty acids, 17α-estradiol, sphinganine, 5-methylcytidine, vitamin K2, lysophosphatidic acid, glycocholic acid and 8 metabolites with few reports. The patients with HBV- related HCC showed 22 differential serum metabolites compared with the control group, 4 differential metabolites compared with patients with HBV-related liver cirrhosis; 10 differential metabolites were identified in patients with HBV-related HCC receiving interventional therapy compared with those receiving surgical resection or radiofrequency ablation. From the normal control group to HBV-related HCC treated by interventional therapy, many metabolites underwent variations following a similar pattern. Conclusions We identified 25 characteristic metabolites in patients with HBV-related HCC, and these metabolites may have potential clinical values in the diagnosis of HBV-related HCC. The continuous change of some of these metabolites may indicate the possibility of tumorigenesis, and some may also have indications for the choice of surgical approach.