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食管鳞癌血清WCX2蛋白芯片诊断模型的研究 被引量:24

A serum pattern for the diagnosis of esophageal squamous cell carcinoma
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摘要 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 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.
出处 《中华检验医学杂志》 CAS CSCD 北大核心 2004年第10期634-637,共4页 Chinese Journal of Laboratory Medicine
基金 国家自然科学基金资助项目 ( 3 0 2 2 5 0 45 3 0 3 70 713 3 0 1710 49) "863"高技术发展计划资助项目 ( 2 0 0 4AA2 2 70 60 )
关键词 食管鳞癌 蛋白芯片 盲法 健康人 血清 大样本 特异性 差异 结论 技术分析 Esphageal neoplasms Surface enhanced laser desorption/ionization-time of flight-mass spectrometry Proteomics Tumor biomarkers
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