基于液-质联用技术的乳腺癌血清代谢组学分析

目的：应用代谢组学的方法观察乳腺癌患者的血清代谢产物变化规律,并将其用于发现诊断乳腺癌病情进展及治疗的生物标志物。 方法：收集正常人和乳腺癌病人的血清标本,分为正常人组49例,乳腺癌组31例。经超高效液相色谱-三重四极杆-飞行时间串联质谱（UPLC/Q-TOF-MS）检测,将所得数据输入SIMCA-14.0软件,对其进行多变量统计分析。如主成分分析法（PCA）和正交偏最小二乘法判别分析（OPLS-DA）模式识别分析各代谢物的变化。 结果：乳腺癌和正常组血清产物水平呈现不同的分布。 结论：代谢组学方法可展示乳腺癌血清中代谢产物的变化特点,为进一步发现乳腺癌发病的生物机制奠定基础。

Metabolomics analysis of breast cancer based on UPLC/Q-TOF-MS

OBJECTIVE To observe the changes of serum metabolites in patients with breast cancer by metabolomics,and to identify biomarkers for diagnosis and treatment of breast cancer. METHODS The serum samples from normal human and breast cancer patients were collected and divided into normal group (n=49) and breast cancer group (n=31).The samples were detected by ultra performance liquid chromatography/quadrupole-time of flight-mass spectra (UPLC/Q-TOF-MS).The data obtained were entered into SIMCA-14 software for multivariate statistical analysis.Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) pattern recognition were used to analyze the changes in each metabolites. RESULTS The levels of serum products in breast cancer group and normal group show different distributions. CONCLUSION Metabolomics can show the changes of metabolites in breast cancer serum,which lays a foundation for further discovering of the biological mechanism of breast cancer.