摘要
目的:探讨蛋白指纹图谱技术筛选大肠癌(CRC)患者血清中可用于诊断的特异性标志物。方法:采用弱阳离子纳米磁性微球捕获血清中的蛋白,ProteinChip PBS Ⅱ-C型蛋白质芯片阅读仪检测绘制成蛋白指纹图谱。所有蛋白指纹图谱采用Biomarker Wizard3.1分析之后,用Biomarker Patterns软件识别最终用于诊断的蛋白标志物,并优化组合建立诊断模型。结果:在大肠癌患者和对照组之间找到68个差异蛋白峰(P<0.01),其中质荷比(m/z)为2870.7、3084.0、9180.5和13748.8的蛋白峰可用于建立大肠癌的诊断模型。该诊断模型能很好地把大肠癌患者从正常人群中区分出来,其敏感性为92.85%(91/98),特异性为91.25%(73/80)。经双盲实验验证,该模型对大肠癌诊断的敏感性为86.95%(40/46),特异性为85.00%(34/40)。结论:采用纳米磁性微球与蛋白质芯片阅读仪联用的蛋白指纹图谱技术可以检测大肠癌患者血清中的特异性蛋白标志物,并建立敏感性和特异性均较高的大肠癌诊断模型。
AIM： To screen the potential protein biomarkers in serum for the diagnosis of colorectal cancer （CRC） by the technique of proteomic fingerprint. METHODS： Proteomic fingerprint combining maglaetic beads with MAL- DI - TOF - MS was used to profile and compare the serum proteins from 98 patients with CRC and 80 healthy blood donors. Proteomic patterns associated with CRC were identified by Biomarker Wizard Software. The model of biomarkers was constructed and evaluated using the Biomarker Patterns Software. RESULTS： A total 68 discriminating m/z peaks were identified to be related with CRC （ P 〈 0. 01 ）. The model of biomarkers based on the 4 biomarkers （2 870. 7, 3 084. 0, 9 180. 5 and 13 748. 8） was constructed by Biomarker Patterns Software. Using this model, excellent separation between the CRC and the controls was generated. The sensitivity of the model was 92. 85% （91/98） and the specificity was 91.25% （73/ 80）. Blind test data indicated a sensitivity of 86. 95% （40/46） and a specificity of 85.00% （34/40）. CONCLUSION： The biomarkers for CRC can be discovered in serum by MALDI - TOF - MS combining the use of magnetic beads. The pattern of combined markers provides a powerful and reliable method for diagnosis of CRC with high sensitivity and specificity.
出处
《中国病理生理杂志》
CAS
CSCD
北大核心
2010年第11期2086-2090,共5页
Chinese Journal of Pathophysiology
基金
国家高新技术研究发展计划(863计划子课题)资助项目(No.2006AA02090406B)
台州市科技资助项目(No.081KY29)
关键词
结直肠肿廇
蛋白指纹图
诊断
Colorectal neoplasms
Protein fingerprinting
Diagnosis
