血清蛋白质指纹图谱检测诊断早期胃癌临床意义
Detection and Evaluation of Serum Proteomic Patterns by SELDI-TOF-MS in Early Gastric Cancer
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摘要: 目的应用SELDI蛋白质芯片检测胃癌患者血清蛋白质指纹图谱,筛选候选肿瘤标志物以建立诊断模型,并探讨其诊断早期胃癌的临床意义。方法表面加强激光解吸电离-飞行时间质谱(SEL-DI-TOF-MS)技术及其配套蛋白质芯片检测34例胃癌患者(Ⅰ/Ⅱ期12例与Ⅲ/Ⅳ期22例)和30例健康人的血清蛋白质组图谱,运用判别分析处理数据筛选标志物并建立诊断模型。结果2046m/z、3179m/z、1817m/z、1725m/z和1588m/z等5个蛋白质峰组合所构建的诊断模型能达到鉴别胃癌患者和健康人的最佳诊断效果,特异度94.1%(32/34),灵敏度93.3%(28/30)。单个4665m/z蛋白质峰诊断模型可达到鉴别Ⅰ/Ⅱ期与Ⅲ/Ⅳ期胃癌效果,其特异度91.6%(11/12),灵敏度95.4%(21/22)。结论该方法在胃癌的诊断尤其是早期诊断、术前分期及候选肿瘤标志物筛选等方面具有一定价值,值得进一步研究。Abstract: Objective To detect the serum proteomic patterns using SELDI-TOF-MS ProteinChip array technology in gastric cancer,screen biomarker candidates,build diagnostic models and evaluate its clinical significance in early gastric cancer. Methods SELDI-TOF-MS ProteinChip was used to detect the serum proteomic patterns of 34 patients with gastric cancer (12 cases of Ⅰ/Ⅱstage and 22 cases of Ⅲ/Ⅳ stage) and 30 healthy people.The diagnostic models were developed and validated by discriminant analysis. Results The model c...
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