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蛋白质组学法检测膀胱移行细胞癌患者尿液中特异性肿瘤标志物[J]. 肿瘤防治研究, 2010, 37(05): 562-565. DOI: 10.3971/j.issn.1000-8578.2010.05.020
引用本文: 蛋白质组学法检测膀胱移行细胞癌患者尿液中特异性肿瘤标志物[J]. 肿瘤防治研究, 2010, 37(05): 562-565. DOI: 10.3971/j.issn.1000-8578.2010.05.020
Using Proteomics Methods to Detec Specific Tumor Markers in Urine of Transitional Cell Carcinoma of Bladder[J]. Cancer Research on Prevention and Treatment, 2010, 37(05): 562-565. DOI: 10.3971/j.issn.1000-8578.2010.05.020
Citation: Using Proteomics Methods to Detec Specific Tumor Markers in Urine of Transitional Cell Carcinoma of Bladder[J]. Cancer Research on Prevention and Treatment, 2010, 37(05): 562-565. DOI: 10.3971/j.issn.1000-8578.2010.05.020

蛋白质组学法检测膀胱移行细胞癌患者尿液中特异性肿瘤标志物

Using Proteomics Methods to Detec Specific Tumor Markers in Urine of Transitional Cell Carcinoma of Bladder

  • 摘要: 目的:检测膀胱移行细胞癌患者尿液中差异表达蛋白质,筛选新的肿瘤标志物,进而探讨其与TCC发病机制的相关性,以及蛋白质组学法在膀胱移行细胞癌早期无创诊断方面的研究应用价值。方法:选取青岛大学医学院附属医院泌尿外科TCC住院病人尿液标本24例,另外选取12例TCC术后病人、12例健康志愿者的尿液标本作为对照。采用蛋白质芯片技术结合表面增强激光解析/离子化-飞行时间-质谱技术检测各组尿液标本的差异表达蛋白质,然后到蛋白数据库中鉴定筛选肿瘤标志物。结果:TCC组与对照组尿液标本的蛋白质存在差异表达,IMAC-Cu-3蛋白质芯片共发现6个蛋白及2个蛋白簇表达水平发生变化。联合检测3438Da及8002Da蛋白可使诊断TCC的敏感度达83.3%,特异性达75.0%。3438Da蛋白已被鉴定为α-defensin蛋白;搜索SWISS-PRO蛋白数据库,4310Da~5150Da蛋白簇为gp40蛋白。结论:SELDI-TOF-MS蛋白质芯片技术是一种快速、简便易行、用量少和高通量分析方法,能直接筛选出膀胱移行细胞癌患者尿液中特异的肿瘤标志物,为蛋白组学方法在膀胱移行细胞癌早期无创诊断、判断预后及探讨发病机制方面的研究应用开拓了广阔前景。

     

    Abstract: Objective:To detect the specific protein expression in the urine of bladder transitional cell carcinoma (TCC), find out new tumor markers, and then explore the roles of those proteins in the pathogenesis of TCC and the value of proteomics in studying TCC. Methods:Urine samples from 24 TCC patients and the control group (including 12 postoperative patients with TCC and 12 healthy volunteers) were analyzed using surface enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS) ProteinChip technology,then the proteins which had been picked out would be identified in Swiss-Prot protein database. Results:Some protein differences of proteinwere detected in the urine samples between TCC group and Control group by IMAC-Cu-3 chip, including six potential TCC biomarkers and two protein clusters. Combination of the 3438Da and 8002Da biomarkers significantly increased the sensitivity (83.3%) and the specificity (75.0%) for detecting TCC. The 3438Da biomarker had been identified as α-defensin and the 4310Da~5150Da protein cluster was identified as gp40 protein in the SWISS-PRO protein database. Conclusion:SELDI-TOF-MS ProteinChip technology can directly, quickly and expediently pick out specific TCC biomarkers from the urine of patients. It will contribute tostudy the pathogenesis of TCC and provide a valuable approach in detecting tumor marker.

     

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