应用表面增强激光解析电离飞行时间质谱蛋白质芯片技术筛选前列腺癌血清标志物的研究  

Study of serum biomarkers in prostate cancer patients by surface enhanced laser desorption/ionizationtime of flight mass spectrometry

作　　者：赵斌[1] 王东文[1] 马志方[1] 王东升[1] 双卫兵[1] 张利[1] 张剑[1] 

机构地区：[1]山西医科大学第一医院泌尿外科,太原030001

出　　处：《中华泌尿外科杂志》2009年第11期776-779,共4页Chinese Journal of Urology

摘　　要：目的应用表面增强激光解析电离飞行时间质谱（SELDI—TOF—MS）检测前列腺癌患者的血清蛋白质指纹图谱，筛选特异性诊断标志物。方法以病理确诊的45例前列腺癌患者血清和45例BPH患者血清为研究对象。采用SELDI蛋白质芯片技术检测血清的蛋白表达图谱，用BiomarkerWizard软件分析差异蛋白，对所得蛋白进行初步诊断分析。结果应用IMAC—CU固相金属亲和芯片在未经治疗的前列腺癌和BPH患者血清中检测到9个差异蛋白质峰，其蛋白质含量差异有统计学意义（P〈0．01），其中7个差异蛋白（3771．14，3968．26，4050．39，4279．20，4464．03，4481．59，8919．34）在前列腺癌患者血清中呈高表达，2个差异蛋白（5440．68，6102．82）呈低表达。联合相对分子质量为3771．14和4481．59的2个差异蛋白诊断前列腺癌，其敏感性为86．7％（39／45），特异性为88．9％（40／45）。经蛋白质数据库搜索，找到6种与差异蛋白相对分子质量最接近的蛋白质，分别为Pepeide YY、Apolipoprotin C-Ⅱ、Glucagon like peptide（7-37）、uncharacterized protein C14orf128、Medin、Neuropeptide Y。结论SELDI蛋白质芯片技术可筛选出前列腺癌中相对特异的潜在标志蛋白，具有较好的临床应用前景。Objective To detect serum biomarkers in prostate cancer（PCa） patients and benign prostatic hyperplasia （BPH） patients by surface enhanced laser desorption/ionization-time of flight （SELDI-TOF） mass spectrometry. Methods Forty-five PCa patients and forty-five BPH patients serums were screened by SELDI-TOF mass spectrometry. The data of spectra were analyzed by bioinformatics tools, Biomarker Wizard. Results Compared with the spectra of BPH patients, there were 9 potential PCa markers detected in the spectra of the PCa patients. In PCa patients, the protein 3771.14,3968.26,4050.39,4279.20,4464.03,4481.59,8919.34 expression levels were higher and the protein 5440.68,6102. 82 expression levels were lower than in BPH patients. Using 2 biomarkers （3771.14 and 4481.59） to detect PCa resulted in a sensitivity of 86.7% （39/45） and specificity of 88.9% （40/45）. After searching protein database, there were 6 proteins might be potential PCa bio markers, including Peptide YY, Apolipoprotin C Ⅱ, Glucagon like peptide（7-37）, uncharacterized protein C14orf128, Medin and Neuropeptide Y. Conclusion SELDI-TOF mass spectrometry has great potentiality for exploring PCa tumor biomarkers for early diagnosis and screening.

关 键 词：前列腺肿瘤 癌 蛋白质阵列分析 肿瘤标记 生物学 

分 类 号：R686[医药卫生—骨科学]