尿中修饰核苷代谢轮廓分析在肺癌诊断中的作用

Lung Cancer Diagnosis Based on Urinary Modified Nucleoside Metabolic Profiling

目的探讨尿中修饰核苷代谢轮廓分析在肺癌诊断中的作用。方法应用二维液相色谱在线分析系统得到42名正常人和80例肺癌患者尿中修饰核苷代谢轮廓谱,结合偏最小二乘判别分析法(PLS-DA)对所得到的代谢轮廓谱数据进行分析。结果尿中修饰核苷代谢轮廓谱分析结合PLS-DA数据处理方法可以用于区分正常人与肺癌患者,其模型判断预测值为Q2=0.744。讨论尿中修饰核苷代谢轮廓分析对肺癌的诊断有一定的参考意义。

Objective To study the feasibility of modified urinary nucleosides metabolic profiling on lung cancer diagnoses. Methods The modified urinary nucleosides metabolic profiling from 42 normal adults and 80 patients with lung cancer were determined by a coupled-column high performance liquid chromatography system. Partial least squares-discriminant analysis （PLS-DA） models were used to class differentiation between the lung cancer patients and controls and to discover potential biomarkers. Result The PLS-DA model results showed that there was a clear differentiation between normal adults and lung cancers patients, with the value of prediction （Q2） equals to 0. 744. Conclusion Modified urinary nucleosides metabolic profiling method is useful for lung cancer diagnoses.