【摘要】 目的应用飞行时间质谱技术结合蛋白芯片筛选卵巢恶性肿瘤患者的血清标志物。方法选择广西医科大学附属肿瘤医院自2003年1月—2005年5月间收治的卵巢恶性肿瘤患者99例(恶性肿瘤组),卵巢良性肿瘤患者21例(良性肿瘤组);另取体检中心健康妇女87例(正常组)作为对照。分别采用IMAC3型固定金属亲和芯片和WCX2型弱阳离子交换芯片检测各组血清标本,应用Ciphergen蛋白芯片3．2．0软件采集3组标本的蛋白峰进行比较,蛋白峰强度相差0．5倍以上者定义为差异蛋白。同时应用Biomarker Pattern 5．0软件建立由IMAC3和WCX2型芯片筛选结果共同组成的诊断模型,扩大样本量,对该诊断模型进行盲法验证。应用本诊断模型筛选出潜在的卵巢恶性肿瘤血清标志物。结果将恶性肿瘤组(随机选取其中41例)与正常组(随机选取其中39例)血清标本比较,其中31个蛋白为差异蛋白(P<0．05)。建立诊断模型后,扩大样本量,分别取恶性肿瘤组中另外58例卵巢恶性肿瘤患者的术前血清和正常组中另外48例健康妇女的血清进行盲法验证,结果显示,其敏感度为100％,特异度为98％。将恶性肿瘤组与良性肿瘤组血清标本比较,发现质荷比为7769的蛋白为卵巢恶性肿瘤的潜在标志物。结论应用飞行时间质谱技术结合固定金属亲和芯片和弱阳离子交换芯片,可有效筛选血清中特异性蛋白标志物,为建立卵巢恶性肿瘤的诊断模型提供可靠的技术平台。更多还原

【Abstract】 Objective To screen relatively specific biomarkers in serum of ovarian cancer patients using surface-enhanced laser desorption and ionization time of flight mass spectrometry and protein chip technology. Methods Serum samples from 99 ovarian cancer patients, 87 healthy volunteers and 21 patients with other ovarian diseases were analyzed using metal affinity chromatography protein chip IMAC3 and cation exchange protein chip WCX2, which can specifically bind the metal-combining-proteins. Proteomic spectra were generated by mass spectrometry. The peaks were detected and filtrated by Ciphergen proteinchip software 3.2.0. Using the Biomarker Pattern 5.0 software, a diagnostic system was developed for separating ovarian cancer from the healthy group. Results Thirty-one protein peaks were significantly different between ovarian cancer patients and healthy controls (P < 0. 05 ). A diagnostic model consisting of protein peaks from IMAC3 and WCX2 was established Large scale blind test generated a sensitivity of 100% and specificity of 98% respectively. A differentially expressed protein with a mass-to-charge rate of 7769 was identified as potential biomarkers to distinguish ovarian cancer from other ovarian diseases. Conclusions Time of flight mass spectrometry is a useful tool for the detection and identification of new protein markers in serum. It will provide a highly accurate and innovative approach for the diagnosis of ovarian cancer.更多还原