利用SELDI-TOF质谱技术分析喉癌患者血清蛋白质谱的变化  

Analysis of proteomic spectra in serum from patients with laryngeal carcinoma by SELDI-TOF-MS technology

作　　者：许莹[1] 乔胜铎[1] 皇甫辉[2] 王斌全[2] 

机构地区：[1]延安大学附属医院耳鼻咽喉科,陕西延安716000 [2]山西医科大学第一附属医院耳鼻咽喉-头颈外科

出　　处：《临床耳鼻咽喉头颈外科杂志》2009年第24期1116-1119,共4页Journal of Clinical Otorhinolaryngology Head And Neck Surgery

摘　　要：目的:筛选喉癌肿瘤标记物,探讨其在术前、术后患者血清中的表达变化。方法:利用固定金属亲和表面蛋白质芯片和表面增强激光解吸离子化飞行时间质谱(SELDI-TOF-MS)技术检测32例喉癌患者和38例正常人血清中的差异蛋白,进而检测32例喉癌术前和15例喉癌术后10d内血清中的差异蛋白。获得的蛋白质谱采用Ciphergen公司的Biomarker Wizard和Biomarker Pattern软件分析。结果:通过对喉癌患者术前血清与正常人血清蛋白质谱分析发现,共有15个蛋白质表达量有明显差异;对喉癌患者术前血清与术后血清蛋白质谱分析发现,共有17个蛋白质表达量有明显差异。并获得相对分子质量为2958.52、3796.89、5148.86、6115.57、4052.18和7770.76这6个蛋白质组成的模板,可将喉癌术前与术后正确分组,其正确分组率分别为84.38%(27/32)和73.33%(11/15)。结论:通过喉癌手术前后血清中蛋白质谱的比较,可以筛选得到用以诊断喉癌的特异性蛋白标志物并用以预后的判断。固定金属亲和表面蛋白质芯片和SELDI-TOF-MS技术对于发现和筛选血清中的喉癌标志物是一种有效、快速的方法。Objective：To screen the tumor markers of laryngeal carcinoma and to investigate their expression in preoperative and postoperative serum.Method：The distinct protein in serum was detected in 32 cases of laryngeal carcinoma and 38 healthy people by IMAC-Cu proteinchip array and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry（SELDI-TOF-MS）.The distinct proteins in serum were detected in 32 cases of laryngeal carcinoma preoperation and within 10 days 15 cases of laryngeal carcinoma postoperation with the same methods. The discriminatory profiling between preoperative and postoperative patients was analyzed by Biomarker Wizard software and Biomarker Pattern software.Result：The results showed that fifteen differentially expressed proteins in serum were screened by analysis of protemic spectra of preoprative patients and normal subjects. Seventeen kinds of protein differentially expressed in serum were screened by analysis of protemic spectra of preoperative and postoperative patients. Six kinds of protein（2958.52,3796.89,5148.86,6115.57,4052.18,and 7770.76） were obtained for making up patterns that was able to class the preoperative-team and postoperative-team. Corresponding correct ratio were 84.38%（27/32） and 73.33% （11/15）.Conclusion：The preliminary results suggest that classification system will provide a highly accurate and innovative approach for the early dioagnosis of laryngeal carcinoma and judgement of prognosis. SELDI-TOF-MS technology is a useful tool for a high throughput screening of large-sized serum samples to discover potential biomarkers for laryngeal carcinoma.

关 键 词：喉肿瘤 蛋白质芯片 表面增强激光解吸离子化飞行时间质谱 肿瘤标记 生物学 

分 类 号：R739.65[医药卫生—肿瘤]