用蛋白质芯片技术筛选非小细胞肺癌患者血清中标志蛋白  

Application of serum surface-enhanced laser desorption/ionization proteomic patterns in distinguishing non-small cell lung cancer patients from healthy people

作　　者：杨拴盈[1] 肖雪媛[2] 张王刚[3] 孙秀珍[1] 张丽娟[2] 张潍[4] 周斌[4] 杨德昌[1] 何大澄[2] 

机构地区：[1]西安交通大学第二医院呼吸科,710004 [2]北京师范大学细胞增殖与调控教育部重点实验室 [3]西安交通大学第二医院血液内科,710004 [4]西安交通大学第二医院胸外科,710004

出　　处：《中华结核和呼吸杂志》2006年第1期31-34,共4页Chinese Journal of Tuberculosis and Respiratory Diseases

基　　金：国家自然科学基金资助项目(30370712);国家高技术研究发展计划基金资助项目(2002AA232031);陕西省科技攻关资助项目(2004K13-G3)

摘　　要：目的探讨用蛋白质芯片技术检测血清非小细胞肺癌(NSCLC)标志蛋白筛查肺癌患者的可行性。方法用蛋白质芯片表面增强激光解吸电离飞行时间质谱仪(SELD I-TOF-MS)技术检测123例肺癌患者和40名正常人血清蛋白质质谱。用数字表法随机抽取94份标本(53例NSCLC,21例小细胞肺癌和20名正常人)作为训练组进行系统训练,将筛选出来的相对分子质量为11 493、6 429、8 245、5 336及2 536的5个蛋白峰作为一个标志物组合模式,建立分类树模型(即系统训练过程);用69份未知血清标本(49例NSCLC,20名正常人)作为盲筛组验证该模型。结果系统显示,在训练组该模式检测NCLC的敏感性和特异性分别为95.9%(71/74)、90.0%(18/20),盲筛组分别为83.7%(41/49)及80.0%(16/20)。结论蛋白质芯片SELD I-TOF-MS技术能较准确的区分NSCLC患者与健康对照者,该技术为NSCLC的筛查提供了新的有效工具。Objective To explore the application of serum surface-enhanced laser desorption/ ionization （ SELDI ） marker patterns in distinguishing non-small cell lung cancer patients from healthy people by protein chip technology. Methods One hundred and sixty-three serum samples （ 123 patients with lung cancer and 40 healthy persons）, were randomly divided into a training set [ 94 eases, 53 non-small cell lung cancer （NSCLC） , 21 small cell lung cancer and 20 healthy persons] and a blinded test set （69 cases） , were included for analysis by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF-MS）. Five protein peaks at 11 493, 6 429, 8 245, 5 336 and 2 536 were automatically chosen for the system training and the development of a decision classification tree model （ marker pattern）. The accuracy of the model was tested with the blinded test set （ an independent set of masked serum samples from 49 patients with NSCLC and 20 healthy persons ）. Results The model differentiated the patients with NSCLC from the healthy people with a sensitivity of 95. 9% （71/74） and a specificity of 90. 0% （18/20） in the training set and a sensitivity of 83.7%, and a specificity of 80. 0% in the blinded set respectively. Conclusion SELDI-TOF-MS technique can correctly distinguish NSCLC patients from healthy people, and it has the potential for the develooment of a screening test for the detection of NSCLC.

关 键 词：癌 非小细胞肺 蛋白质组 遗传筛选 

分 类 号：R734.2[医药卫生—肿瘤] R318[医药卫生—临床医学]