膀胱癌血清及尿液代谢组学研究  

Serum and Urine Metabonomics Study of Human Bladder Cancer

作　　者：陈永婧[1] 王小华[1] 黄真真[1] 林琳[1] 高瑶[1] 朱尔一[1] 邢金春[2] 郑嘉欣[2] 杭纬[1] 

机构地区：[1]厦门大学化学化工学院化学系,厦门361005 [2]厦门市第一医院泌尿科,厦门361005

出　　处：《分析化学》2012年第9期1322-1328,共7页Chinese Journal of Analytical Chemistry

基　　金：国家基础科学人才培养基金(No.J1030415)项目;福建省科技厅(No.2009D023)资助

摘　　要：应用代谢组学研究方法,对与膀胱癌(Bladder cancer,BC)发病相关的生物标志物进行筛选,采用液相色谱-电喷雾质谱(LC-ESI/MS)联用技术对20名膀胱癌患者与24名正常人的血清和尿液进行研究。多变量统计分析结果表明,膀胱癌患者和正常人聚类明显,血清和尿液中分别发现13个潜在标志物。其中,(2E,6E,8E)-二十二碳三烯-1-醇、7-((1S,2S)-2-(庚胺)环己基)庚酸和(11E,14E,17E)-三烯-二十碳-1-醇首次在血清中发现,有潜力成为膀胱癌诊断标志物。液相色谱-质谱联用结合多变量分析的代谢组学研究技术在膀胱癌诊断中展现出巨大潜力。Serum and urine were investigated to enlarge the screening scope of bladder cancer （BC） related metabolites. Both reversed-phase liquid chromatography （RPLC） and hydrophilic interaction chromatography （HILIC） were used to get comprehensive metabolite profiling. Orthogonal partial least square-data analysis （OPLS-DA） was performed to discriminate metabolite profiles of 20 BC patients and 24 healthy controls. BC patients were clearly distinguished from healthy controls. 26 potential biomarkers were found out in serum and urine （13 each） using multivariate statistical analysis. Though most potential biomarkers are just common biomarkers existing in other diseases, the newly discovered serum metabolites, docosatrienol, azaprostanoic acid, and eicosatrienol, exhibit the potential for BC diagnosing. It suggests that liquid chromatography-mass spectrometry （LC-MS） based metabonomics with multivariate statistical analysis can be applied in human BC detection.

关 键 词：液质联用 膀胱癌 血清 尿液 

分 类 号：R737.14[医药卫生—肿瘤]