CAJ | 학술논문

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。
목적：응용표면증강격광해흡전리비행시간질보기술（ SELDI-TOF MS）사선유선암적특이성단백표지물，건립진단모형。방법용표면증강격광해흡전리비행시간질보의급CM10단백심편검측35례유선암환자표본급53례대조조표본（포괄35례유선량성병변화18례정상인）적혈청단백지문도보，Ciphergen Proteinchip 연건자동채집수거，Ciphergen Biomaker Wizard 연건사선차이단백，Biomarker Pattern연건건립유선암적분류수진단모형。결과유선암조급대조조혈청단백질보도공검측도59개단백질봉，기중19개단백봉표체차이구유현저성（P＜0．01）。이2개단백질봉（질하비분별위M6636．62，M13889．6）건립적진단모형，진단적준학솔체도94．3％，령민도화특이도분별위80．0％화71．7％。결론 SELDI-TOF MS기술가용우유선암특이성단백적사선，위기쾌속진단전정기출。
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 .