食管鳞癌血清WCX2蛋白芯片诊断模型的研究

目的　分析食管鳞癌血清蛋白表达谱的改变 ,筛选并建立食管鳞癌血清标志物诊断模型。方法　采用表面增强激光解吸离子化飞行时间质谱 (SELDI TOF MS)技术分析 199例食管鳞癌患者和 10 6名性别、年龄匹配的健康人血清 ,获得WCX2蛋白芯片表达图谱。用BiomarkerPattern软件分析食管癌差异蛋白并初步建立诊断模型。扩大样本量 ,通过盲法分析进一步验证诊断模型。结果　在分子量 0～ 5 0 0 0 0范围内 ,共检测到 92个差异蛋白峰 ,其中 34个差异有显著意义 (P <0 0 5 )。建立了由 12个差异蛋白组成的食管鳞癌诊断模型 ,其敏感性为 91 5 % (5 4 / 5 9) ,特异性为86 9% (5 3/ 6 1)。扩大样本盲法验证结果其敏感性为 85 % (119/ 14 0 )、特异性为 84 4 % (38/ 4 5 )。结论　由 12个差异表达蛋白及其特定组合构成的诊断模型可以区分食管鳞癌与健康人

A serum pattern for the diagnosis of esophageal squamous cell carcinoma

Objective To analyze the alterations of serum proteins in esophageal squamous cell carcinoma (ESCC), screen and establish serum marker pattern for the diagnosis of ESCC.Methods SELDI-TOF technology was used to analyze sera including 199 cases of ESCC patients and 106 cases of sex- and age-matched healthy controls on WCX2 proteinchip. Biomarker Pattern Software was used to detect the protein peaks significantly different between ESCC and controls, and set up a primary diagnosis model of ESCC. This model was further valuated by blind test in a large scale.Results Ninety-two protein peaks were detected at the molecular range of 0 to 50 000, among which 34 ones were significantly different between ESCC and controls (P<0.05). A diagnostic pattern consisting of 12 protein peaks was established with 91.5% (54/59) sensitivity and 86.9% (53/61) specificity. Large scale blind test generated a sensitivity of 85% (119/140) and specificity of 84.4% (38/45) respectively.Conclusion The diagnostic pattern combining 12 protein peaks can discriminate ESCC from healthy control.