基于尿液修饰核苷代谢谱分析的肺癌诊断
[Lung cancer diagnosis based on urinary modified nucleoside metabolic profiling].
作者信息
Wang Wen-Zhao, Zhao Xin-Jie, Li Xiang, Chen Jing, Li Fang-Lou, Xu Guo-Wang
机构信息
Metabonomics Research Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
出版信息
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2007 Dec;29(6):738-41.
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.
目的
研究改良的尿核苷代谢谱在肺癌诊断中的可行性。
方法
采用联用柱高效液相色谱系统测定42名正常成年人和80例肺癌患者的改良尿核苷代谢谱。使用偏最小二乘判别分析（PLS-DA）模型对肺癌患者和对照组进行分类鉴别，并发现潜在生物标志物。
结果
PLS-DA模型结果显示，正常成年人与肺癌患者之间存在明显区分，预测值（Q2）为0.744。
结论
改良的尿核苷代谢谱方法对肺癌诊断具有重要作用。
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