卵巢癌患者血清比较蛋白质组学研究  

Screening of the specific biomarkers from serum of the patient suffered from ovarian cancer by SELDI TOF mass spectrometry

作　　者：魏蓉[1] 高春芳[2] 赵光[2] 郑国宝[2] 罗俊华[2] 李冬辉[2] 王秀丽[2] 

机构地区：[1]第二军医大学研究生队,上海200433 [2]解放军第150医院全军肛肠外科研究中心

出　　处：《解放军医学杂志》2005年第6期467-468,共2页Medical Journal of Chinese People's Liberation Army

摘　　要：目的　探讨应用蛋白质质谱分析鉴定卵巢癌生物标志物的可行性。方法　应用美国CipherGen公司金属亲和表面(IMAC3)芯片和蛋白芯片仪检测24例卵巢癌患者、56例正常人血清中的蛋白质相对含量。结果　24例卵巢癌患者与56例正常人血清蛋白质在质荷比为4kb^10kb间有6种蛋白质含量有显著差异。用4 472Da的血清蛋白质作为生物标志物可将正常人与卵巢癌患者准确地分组。在学习模式下24例卵巢癌患者被正确诊断,56例正常人均被正确识别;在检测模式下24例卵巢癌患者中有23例患者被正确诊断,56例正常人均被正确识别,准确率为98 8%(79/80),灵敏度和特异性分别为95 8% (23/24)、100% (56/56)。结论　该方法可快速、准确检测卵巢癌,灵敏度和特异性高。Objective To approach the feasibility of identifying the specific biomarker of ovarian cancer by SELDI TOF mass spectrometry. Methods The relative contents of serum protein of both 24 the patients with ovarian cancer and 56 cases of healthy people were tested by IMAC3 chip and proteinchip reader (CipherGen Inc., VS). Results On the M/Z values ranged from 4000Da to 10000Da, there were six kinds of protein contents in the serum of the were obviously different between the two groups. Among them the serum protein of M/Z value 4472Da may be regarded as a specific biomarker of ovarian cancer. In the learning mode, all the 24 patients and 56 control people were diagnosed and distinguished out correctly, while in the test mode, 23 patients were correctly diagnosed and 56 control people were distinguished out, the total accuracy was 98 75%(79/80), and the sensitivity and specificity were 95 8%(23/24) and 100%(56/56), respectively. Conclusion Ovarian cancer can be quickly and correctly diagnosed by this method with high sensitivity and specificity. That will be widely used in clinical application

关 键 词：卵巢癌患者 蛋白质组学研 生物标志物 血清蛋白质 正确诊断 蛋白质含量 正常人 分析鉴定 蛋白芯片 方法应用 相对含量 学习模式 检测模式 特异性 灵敏度 人血清 准确率 识别 

分 类 号：R730.3[医药卫生—肿瘤] R38[医药卫生—临床医学]