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目的:建立人上皮性卵巢癌蛋白质组诊断模型,并盲法验证。方法:应用蛋白质芯片SELDI-TOF MS技术和生物信息学方法,比较40例上皮性卵巢癌患者手术前后、29例卵巢癌复发患者、22名健康人血清蛋白质谱,用45例包括良恶性卵巢病变患者和健康人的血清作盲筛验证。结果:卵巢癌和正常人血清比较,P<0.01的差异蛋白峰有7个,用其中的质荷比4 162.69、5 804.26、6 749.37建立诊断模型,诊断的敏感度为98.3%,特异度为95.7%,阳性预测值为96.7%。卵巢癌术前、术后血清蛋白质谱比较,P<0.01的差异蛋白峰有4个,术后化疗后复发与正常人血清差异蛋白质峰有5个,其中质荷比5 804.26蛋白峰术后下降、复发时升高。结论:应用SELDI方法建立人卵巢癌血清蛋白质谱诊断模型可用于卵巢癌的筛查,质荷比5 804.26蛋白峰有望成为卵巢癌疗效监测特异蛋白峰。
Objective: To establish a proteomic model of human epithelial ovarian cancer and validate it blindly. METHODS: Serum protein profiles of 29 patients with ovarian cancer recurrence and 22 healthy individuals were compared before and after operation in 40 patients with epithelial ovarian cancer by protein chip SELDI-TOF MS and bioinformatics methods. Forty-five patients with benign and malignant ovarian lesions Serum of patients and healthy people for blind screening. Results: There were 7 differential protein peaks of P <0.01 in ovarian cancer and normal human serum. The diagnostic sensitivity was 98.3% with the mass-to-charge ratio of 4 162.69, 5 804.26 and 6 749.37, the specificity was 95.7%, the positive predictive value was 96.7%. Preoperative and postoperative serum protein profiles of ovarian cancer, P <0.01 differential protein peaks were 4 postoperative chemotherapy recurrence and normal serum differential protein peaks 5, in which the mass-to-charge ratio of 5 804.26 protein peak decreased after surgery , Relapse increased. Conclusion: SELDI method can be used to establish a diagnostic model of human ovarian cancer serum protein spectrum for ovarian cancer screening. The mass-to-charge ratio of 5 804.26 protein peak is expected to be a specific protein peak for ovarian cancer efficacy monitoring.