小细胞肺癌患者血清差异表达蛋白分析

Analysis of differential expressed protein from SCLC patient serum

目的:检测小细胞肺癌(small cell lung cancer,SCLC)患者的血清蛋白多肽指纹图谱,分析SCLC患者与正常对照人群的蛋白表达差异,筛查其可作为潜在标记物的差异表达蛋白多肽。方法:应用液体蛋白芯片结合飞行时间质谱(MALDI-TOF-MS)技术对14例病理确诊的SCLC患者和32例正常对照人群进行血清蛋白组分析。采用Clin Pro Tools软件进行蛋白多肽的组间差异对比。结果:共获得57个蛋白多肽峰,其中18个蛋白多肽峰具有极显著差异(P<0.001),其中9个蛋白多肽在SCLC患者中表达下调,其余9个蛋白多肽在SCLC患者中表达上调。两组数据中最大差异的两个蛋白多肽峰分别是m/z:1451.43和m/z:4643.31。结论:利用液体芯片-飞行时间质谱技术可以从SCLC患者的血清中获得稳定丰富的蛋白多肽谱,且能够筛选出多个组间显著差异表达的蛋白多肽,可作为SCLC临床辅助诊断的潜在疾病标志物。

Objective： To discover potential biomarkers in serum for the detection of small cell lung cancer （SCLC）. Methods：All 46 serum samples including 14 from SCLC patients and 32 from healthy controls were ana- lyzed using Clin Prot system combined with matrix - assisted laser desorption/ionization time - of- flight masss spec- trometry （ MALDI - TOF - MS）. Clin Prot software and genetic algorithm analysis selected a panel of serum markers that most efficiently predicted which patients had SCLC. Results：By analyzing the spectra （screened from two groups） using the Clin Pro Tools software, 18 of all 5 7 peaks generated were significant differently expressed （P 〈0.001 ） between two groups. And 9 peaks were up - expressed while other 9 peaks were down - expressed in SCLC patients. The two max differential expressed peaks were m/z： 1451.43 and m/z ：4643.31. Conclusion： We can identi- fy proteomic patterns that could clearly distinguish between SCLC patients and healthy controls based on MALDI - TOF - MS analysis.