应用SELDI蛋白质芯片技术筛选肺腺癌血清标志物的研究

目的 通过SELDI蛋白质芯片技术筛选肺腺癌特异血清标志物。方法 采用表面增强激光解析离子化一飞行时间质谱技术（SELDI-TOF-MS），选用弱阳离子加疏水膜芯片对15例肺腺癌患者，30例健康人血清进行检测，筛选在肺腺癌患者血清中差异表达的蛋白质。结果 在质荷比0—20000范围内，共检测到180个蛋白峰，建立了由8个差异表达蛋白质组成的肺腺癌诊断模型。这8个蛋白质中有6个在肺腺癌中表达上调，2个表达下调。软件分析结果显示在预测组中诊断肺腺癌的敏感性为93．33％（14／15）、特异性为100．00％（30／30）；对检测组进行双盲检测，敏感性为73．33％（11／15）、特异性为86．67％（26／30）。结论 由8个差异表达蛋白及其特定组合构成的诊断模型可以区分肺腺癌和健康人。SELDI蛋白质芯片技术能直接筛选出肺腺癌患者血清中相对特异的潜在标志物，具有较好的临床应用价值。

Detection of serum markers by SELDI- TOF- MS protein chip technology in lung adenocarcinoma

Objective To screen out serum markers by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI- TOF- MS ) proteinchip technology in lung adenocarcinoma.Methods Serum samples from 15 lung adenocarcinoma patients who were histologically diagnosed and 30 healthy volunteers were analyzed on weak cation exchange (WCX2) and hydrophobic surface proteinchip using SEIDI-TOF-MS technology in order to screen out the serum differentially expressed markers of lung carcinoma.Results 180 qualified mass peaks were detected between O and 20 000Da and the classification model of lung adenocarcinoma composed of eight protein peaks were established.Six peaks of those overexpressed and two peaks of those had been down-regulated in lung adenocarcinoma(P<0.05).As biomarkers,sensitivity of these proteins in learn groups was 93.33%(14/15),specificity of them was 100.00%(30/30);the sensitivity of eight protein peaks in test groups was 73.33%(11/15)and specificity of them was 86.67%(28/30).Conclusion The model composed of eight proteins is a potential biomarker for the diagnosis of lung adenocarcinoma.SELDI-TOF-MS proteinchip technology can screen out relatively specific,potential markers from serum of lung adenocarcinoma patients,so it has better clinical value.