基于气相色谱质谱技术的肾细胞癌患者尿液代谢组学分析  

Urinary metabolomics study of renal cell carcinoma based on gas chromatography-mass spectrometry

作　　者：张琳[1] 李玲[1] 孔海瑞[1] 曾方银[1] 

机构地区：[1]南方医科大学南方医院检验科,广东广州510515

出　　处：《南方医科大学学报》2015年第5期763-766,共4页Journal of Southern Medical University

基　　金：广东省自然科学基金(S2013010014482);广东省科技计划项目(2012A032200016)

摘　　要：目的对肾细胞癌(renal cell cancer,RCC)患者的尿液进行代谢组学分析,建立数据模型并筛选特征代谢标志物。方法采用气相色谱质谱联用技术(gas chromatography mass spectrometry,GC-MS)分析27例RCC患者,26例泌尿系其它肿瘤患者及26例健康人的尿液,利用SIMCA-P+12.0.1.0软件进行主成分分析(principal component analysis,PCA)及正交偏最小二乘法-判别分析(orthogonal partial least-squares discriminant analysis,0PLS-DA),并筛选特征代谢产物。结果构建了PCA(R2X=0.846,Q2=0.575)和OPLS-DA(R2X=0.736,R2Y=0.974,Q2Y=0.897)模型,筛选出14种差异代谢产物,主要是有机酸、马尿酸、色氨酸及其降解产物,其中戊酸、丙二酸、戊二酸、己二酸、吲哚乙酸、氨基喹啉、喹啉及色氨酸在RCC患者尿液中的含量显著高于正常人(P<0.01),同时RCC组的尿液中戊酸、苯丙氨酸、6-甲氧基-硝基喹啉的含量显著高于泌尿系其它肿瘤患者(P<0.01)。结论基于GC-MS的代谢组学方法可以区分RCC患者,筛选出的代谢产物可能是RCC的诊断标志物,可进行深入研究。Objective To identify the biomarkers of renal cell cancer （RCC） through urine metabolic analysis. Methods Urine samples of 27 RCC patients, 26 patients with other urinary cancers and 26 healthy volunteers were examined with gas chromatography-mass spectrometry （GC-MS）. SIMCA-P＋12.0.1.0 software was used for principal component analysis （PCA） and orthogonal partial least-squares discriminant analysis （OPLS-DA） to screen for the differential metabolites. Results PCA （R2X=0.846, Q2=0.575） and OPLS-DA （R2X=0.736, R2Y=0.974, Q2Y=0.897） model were established for the RCC patients and control subjects. Fourteen metabolites were selected as the characteristic metabolites, including pentanoic acid, malonic acid, glutaric acid, adipic acid, amino quinoline, quinoline, indole acetic acid, and tryptophan, whose levels in the urine were significantly higher in the RCC patients than in the normal subjects （P〈0.01）; the RCC patients showed significantly higher urine contents of pentanoic acid, phenylalanine, and 6-methoxy-nitro quinoline than those with other urinary tumors （P〈0.01）. Conclusion The urine metabolites identified based on GC-MS analysis can distinguish RCC patients from patients with other urinary cancers and healthy subjects, suggesting their potential as diagnostic markers for RCC.

关 键 词：肾细胞癌 代谢组学 GC-MS PCA OPLS-DA 

分 类 号：R737.11[医药卫生—肿瘤]