胰腺癌相关糖尿病的血清蛋白质组学分析
Serum proteomic analysis of pancreatic cancer associated diabetes
摘要 目的 检测胰腺癌相关糖尿病的血清蛋白标志物,并建立诊断模型.方法 应用表面增强激光解析电离飞行时间质谱( SELDI-TOF-MS)技术检测17例胰腺癌相关糖尿病与17例新发2型糖尿病、17例健康对照者血清的差异表达蛋白,用Biomarker Patterns Software 5.0软件建立胰腺癌相关糖尿病诊断模型并验证.结果 在胰腺癌相关糖尿病、新发2型糖尿病,健康者各10例的蛋白指纹图谱中筛选出12个差异表达蛋白峰,其中质荷比为6116、6695、8936 Da的蛋白峰被选为建立胰腺癌相关糖尿病诊断模型的蛋白峰.该诊断模型的诊断正确率为90%.盲法验证各组另7例样本,正确诊断胰腺癌相关糖尿病患者达100%,新发2型糖尿病患者为71%,健康人群为86%.经检索蛋白质数据库,与以上3种差异表达蛋白分子质量最为接近的蛋白分别为金属硫蛋白、胰腺干细胞增殖分化因子和成纤维细胞生长因子 1.结论 通过SELDI方法筛选出3种胰腺癌相关糖尿病的血清蛋白标志物,建立了可靠的胰腺癌相关糖尿病的诊断模型.
Abstract:
Objective To detect serum biomarkers for pancreatic cancer associated diabetes and establish a model for diagnosis.Methods SELDI-TOF-MS was used to detect the differentially expressed serum proteins from 17 pancreatic cancer associated diabetes patients,17 new-onset type Ⅱ diabetes patients and 17 healthy controls,then a model of biomarkers was constructed and validated by Biomarker Patterns Software 5.0.Results Twelve discriminating m/z peaks were identified in the protein fingerprints in 10 pancreatic cancer associated diabetes patients,10 new-onset type Ⅱ diabetes patients and 10 healthy controls.Among them,the three biomarkers of mass/charge ratio 6116,6695 and 8936 were used to construct the model,which could diagnose 90% pancreatic cancer associated diabetes form control groups.Blind test of other7 samples of three groups showed that 100% pancreatic cancer associated diabetes,71% new-onset diabetes and 86% healthy controls were correctly classified.After searching protein database,there were metallothionein,pancreatic progenitor cell differentiation and proliferation factor-like protein,and fibroblastic growth factor 1,which were close to the weights of the above mentioned 3 differentially expressed proteins.Conclusions SELDI can identify 3 biomarkers for pancreatic cancer associated diabetes and a reliable model for diagnosis of pancreatic cancer associated diabetes is established.
Author: WU Jian-ting TIAN Zi-bin DING Xue-li JING Xue JIANG Yue-ping WEI Liang-zhou KONG Xin-juan ZHANG Cui-ping ZHAO Qing-xi
作者单位: 青岛大学医学院附属医院消化内科, 青岛,266003
刊 名 中华胰腺病杂志 ISTIC
年,卷(期): 2012, 12(5)
分类号: R684.3
机标分类号: R73 R97
在线出版日期: 2013年1月1日