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目的用表面增强激光解吸离子化飞行时间质谱(SELDI-TOF-MS)分析食管鳞癌患者血清蛋白表达谱的改变,筛选并建立高发区食管癌血清蛋白指纹图诊断模型,探究其临床价值。方法采用CM10蛋白芯片及SELDI-TOF-MS技术,对36例食管癌患者和38例正常对照者的血清进行蛋白指纹图谱检测,支持向量机分析实验数据,建立食管癌诊断模型,采用盲法验证。结果在分子量2000～20000范围内,共检测到31个蛋白质荷比峰,差异有统计学意义(P<0.01)。以4个质荷比峰建立了食管癌诊断模型,并用留一法交叉验证作为评估模型判别效果的方法,其准确率为85.1%,敏感性为86.1%,特异性为84.2%,真阳性率为83.8%。结论由4个质荷比峰构成的诊断模型可以区分食管癌和正常对照,为高发区食管癌的筛查与诊断提供了一条新的途径。
Objective To analyze the changes of serum protein profiles in patients with esophageal squamous cell carcinoma by surface enhanced laser desorption / ionization time of flight mass spectrometry (SELDI-TOF-MS), and to screen and establish a diagnostic model of serum protein fingerprints of esophageal cancer in high incidence areas and explore its clinical value. Methods The protein fingerprints of 36 esophageal cancer patients and 38 normal controls were detected by CM10 protein chip and SELDI-TOF-MS. Support vector machine was used to analyze the experimental data to establish a diagnostic model of esophageal cancer. Blind validation . Results In the range of molecular weight 2000-20000, a total of 31 protein peaks were detected, the difference was statistically significant (P <0.01). The diagnosis model of esophageal cancer was established by four mass-to-charge ratio peaks. The method of cross-validation with left-behind method was used to evaluate the discriminative effect of the model. The accuracy was 85.1%, the sensitivity was 86.1% and the specificity was 84.2%. The true positive rate 83.8%. Conclusion The diagnostic model consisting of four peaks of mass-to-charge ratio can distinguish esophageal cancer from normal control and provide a new way to screen and diagnose esophageal cancer in high risk area.