应用蛋白质质谱技术检测肺癌血清生物标志物的实验研究

目的探讨蛋白质质谱分析方法筛选肺癌血清蛋白特异性生物标志物的可行性。方法采用表面增强激光解析离子化飞行时间质谱技术(SELDI)和弱阳离子交换(WCX2)蛋白质芯片检测17只健康兔和23只荷瘤兔的血清蛋白质谱,后者取血时影像学检查15只肺内已有肿瘤形成(荷瘤组),8只未见肿瘤形成的实验动物在随访过程中均见肿瘤形成(癌前组)。使用PBSII-C型蛋白质芯片阅读机读取数据,获得的结果采用Bio-marker wizard和Proteinchip 3.1软件进行分析。结果荷瘤组、癌前组和健康对照组比较,筛选出来的32个蛋白质峰中有5个峰(标志分子)表达差异有统计学意义(P<0.05),其中3个蛋白质表达上调,2个下调。结论蛋白质质谱分析方法可以从血清中检测出与肿瘤病程进展相关的特异性标志分子,有望成为肺癌早期诊断或预警的有效工具。

Identification of serum biomarkers for lung cancer using protein mass spectrometry

Objective The aim of this study was to investigate the feasibility of identification of serum biomarkers for lung cancer using protein mass spectrometry.Methods Surface-enhanced laser desorption/ionization(SELDI) and weak cation exchange 2(WCX2) protein chip array were employed for protein profiling of the sera of 17 healthy rabbits and 23 cancer bearing rabbits,of which 15 developed cancer in the lung(cancer group) and 8 developed lung cancer in the follow-up period(pre-cancer group).Data were obtained using a PBSII-C protein chip reader and analyzed using Biomarker Wizard and Proteinchip 3.1 software.Results Compared with the healthy rabbits,a total of 5 biomarkers were identified to be differentially expressed among 32 proteins screened from the sera in the cancer group and the pre-cancer group(P<0.05): 3 of the 5 biomarkers were upregulated and 2 were downregulated.Conclusion Protein mass spectrometry can be used to identify specific molecules closely correlated with the progression of lung cancer and thus,this method may become an effective tool for the early diagnosis or prediction of lung cancer.