应用 SELDI-TOF MS 技术筛选乳腺癌蛋白标志物

摘要

目的：应用表面增强激光解吸电离飞行时间质谱技术（ SELDI-TOF MS）筛选乳腺癌的特异性蛋白标志物，建立诊断模型。方法用表面增强激光解吸电离飞行时间质谱仪及CM10蛋白芯片检测35例乳腺癌患者标本及53例对照组标本（包括35例乳腺良性病变和18例正常人）的血清蛋白指纹图谱，Ciphergen Proteinchip 软件自动采集数据，Ciphergen Biomaker Wizard 软件筛选差异蛋白，Biomarker Pattern软件建立乳腺癌的分类树诊断模型。结果乳腺癌组及对照组血清蛋白质谱图共检测到59个蛋白质峰，其中19个蛋白峰表达差异具有显著性（P＜0．01）。以2个蛋白质峰（质荷比分别为M6636．62，M13889．6）建立的诊断模型，诊断的准确率达到94．3％，灵敏度和特异度分别为80．0％和71．7％。结论 SELDI-TOF MS技术可用于乳腺癌特异性蛋白的筛选，为其快速诊断奠定基础。%Objective To screen specific biomarkers and to develop a diagnostic model of breast cancer by SELDI -TOF MS.Methods SELDI-TOF MS and CM10 protein chips were used to detect the serum proteomic pattern of 35 samples from breast cancer and 53 matched controls ,including 35 benign lesion of breast and 18 health adults .The data was automatically collected by Ciphergen Proteinchip software and analyzed by Ciphergen Biomaker Wizard and Biomarker Pattern software .Re-sults About 59 protein peaks were detected by SELDI-TOF-MS between 3,000 and 30,000 m/z, among which 19 peaks were significantly different between breast cancer and controls ( P<0.01 ) .Diagnostic model was developed by two protein peaks (M/Z 6636.62 and 13889.6) with classification accuracy of 94.3%,sensitivity and specificity of 80.0% and 71.7%, re-spectively .Conclusion SELDI-TOF MS shows great potential in screening novel biomarkers , which may lay a foundation for rapid diagnosis of breast cancer .