应用SELDI-TOF-MS技术筛选肺腺癌患者血清诊断标志物

Screening on the Tumor Related Markers in the Serum of the Lung Adenocarcinoma Patients by the SELDI-TOF-MS Technique

目的探讨肺腺癌患者及正常人血清中蛋白质质谱的不同,筛选出肺腺癌血清诊断标志物。方法用WCX2蛋白芯片结合表面增强激光解吸电离飞行时间质谱（SELDI-TOF-MS）技术,检测24例肺腺癌和10例正常人血清蛋白质谱,筛选出差异表达蛋白质。结果本实验共检测到86个有效的蛋白质波峰,其中m/z位于分子质量2000~10000的波峰有78个。筛选出m/z分子质量为8129.55,2022.18,3271.91,3933.44,3504.49,3811.71的6个血清肿瘤标志物。结论SELDI-TOF-MS技术是寻找肺腺癌血清诊断标志物的有效工具。利用蛋白组学和生物信息学及相关技术,将有利于建立新的疾病诊断模式——蛋白质指纹图谱。

Objective To discuss the difference of protein mass pectrometer between the lung adenocarcinoma patients and normal persons, then we screened the lung adenocarcinoma patients among them. Methods Detect the protein mass pectrometer of 24 cases with lung adenocarcinoma and 10 normal persons by WCX2 protein chip combining with SELDI-TOF-MS technique, after this, we screened the different expressed protein. Results In this experiment we could detect 86 effective protein wave crests, and there were 78 wave crests in which m/z located between 2 000 Da and 10 000 Da. 6 tumor markers screened were m/z 8 129.55 Da, 2 022.18 Da, 3 271.91 Da, 3 933.44 Da, 3 504.49 Da, 3 811.71 Da respectively. Conclusions SELDI-TOF-MS technique is an effective instrument to find diagnostic markers in serum of lung adenocarcinoma patients. This will be helpful to establish a new disease diagnostic model by proteomics and bioinfomatics and related technique - protein fingerprint mapping.