蛋白质指纹图谱技术在肺结核、肺癌鉴别诊断中的应用研究

目的 探索应用表面增强激光解析离子化飞行时间质谱（SELDI-TOF-MS）技术于肺结核、肺癌的鉴别诊断。 方法 肺结核、肺癌患者及正常人各65例，收集其血清标本，采用WCX2芯片技术对血清蛋白进行捕获，用蛋白芯片阅读器PBSⅡ对芯片进行扫描、分析。 结果65例活动性肺结核与65例肺癌患者血清蛋白质谱数据的比较，4个蛋白峰(5 335 m/z、8 048 m/z、11 700 m/z、11 683 m/z)倾向于肺结核，以此鉴别肺癌差异有统计学意义(P<0.01)。该诊断模型判别的总准确率为74.6%（97/130）,灵敏度80.0%(52/65)，特异度69.2%(45/65)。 结论 此方法简便、快速，标本用量少，为肺结核、肺癌患者提供了1种新的无创诊断和鉴别诊断方法 。

Study on the application of proteomic fingerprinting in the differential diagnosis of tuberculosis and lung cancer

Objective To explore the use of surface-enhanced laser desorption/ionization time of flight mass spectrometry（SELDI-TOF-MS） technology in the differential diagnosis of pulmonary tuberculosis and lung cancer. Method The serum samples were collected from 65 tuberculosis patients and 65 lung cancer patients.Serum proteins were captured using WCX2 chips,then scanned and analyzed using chip reader PBSⅡ. Results Comparing the serum protein data from 65 pulmonary tuberculosis cases and 65 lung cancer cases,four protein peaks（5335m/z,8048m/z,11700m/z,and 11683m/z） were significantly different between tuberculosis and lung cancer（P0.01）.This diagnostic model had an accuracy of 74.6%（97/130）,sensitivity of 80%（52/65）,and specificity of 69.2%（45/65）. Conclusions SELDI-TOF-MS technique can potentially provide a new simple,rapid,and non-invasive method for the differential diagnosis of tuberculosis and lung cancer patients.