喉癌肿瘤标记物的筛选及其表达变化

Screening and expression of tumor markers in laryngeal carcinoma

目的:用表面增强激光解吸离子化飞行时间质谱(SELDI-TOF-MS)技术建立喉癌患者血清蛋白质组构型,并筛选出相对特异标记物。方法:收集32例喉癌患者术前、15例喉癌患者术后10 d及40例正常人的血清,用固定金属亲和表面蛋白质芯片(IMAC-Cu)和SELDI-TOF-MS技术检测蛋白质谱的表达。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、术后10 d与正常人血清蛋白质谱分析发现,共有26个蛋白质的表达量有明显差异。并获得平均相对分子质量分别为4 048.09、5 073.79、5 339.29、3 795.38、9 187.24、15 323.8、6 111.92、6 943.87这8个蛋白质组成的模板,可将喉癌术前、术后及对照组正确分组。其正确分组率分别为71.88%(23/32)、66.67%(10/15)、75%(30/40)。结论:SELDI-TOF-MS技术是一种快速、简便易行且高通量的分析方法,能直接筛选出喉癌患者血清中相对特异的潜在标记物,且可能具有较好的临床应用前景。

Objective：To select relatively specific biomarkers in serum from laryngeal carcinoma patients using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry（SELDI-TOF-MS） technology.Method：The serum samples of 32 cases of laryngeal carcinoma preoperation and 15 cases of laryngeal carcinoma 10 days postoperation and 40 healthy controls on IMAC-Cu protein chip were collected.The spectrometric protein profiling was detected by SELDI-TOF-MS,the data was analyzed by Biomarker Wizard software and Biomarker Pattern software.Result：Twenty-six differentially expressed proteins in serum were screened by analysis of protein spectra of preoperative and postoperative patients and healthy controls.Eight proteins（4 048.09,5 073.79,5 339.29,3 795.38,9 187.24,15 323.8,6 111.92,6 943.87） were obtained for making up patterns that was able to class the preoperative-team and postoperative-team.Corresponding correct ratio were 75%（30/40）,71.88%（23/32） and 66.67%（10/15）.Conclusion：SELDI-TOF-MS technology is a quick,easy,convenient and high output analyzing method that it is capable of selecting several relatively specific,potential biomarkers from the serum of laryngeal carcinoma patients and may have clinic value.