表面增强激光解吸电离飞行时间质谱技术在白血病诊断中的应用

本研究对白血病患者及健康对照者的血清样本进行检测分析,筛选新的生物标记物并建立白血病的蛋白质指纹图谱诊断模型.应用SELDI-TOF-MS技术检测40例白血病标本及37例健康对照标本,用Biomarker Wizard软件分析筛选新的生物标记物,使用Biomarker Patterns 5.0软件进行标记物的比较判别,建立白血病决策树诊断模型.结果表明,蛋白质指纹图谱分析发现有22个差异显著的蛋白峰（P＜0.05）;由m/z为4650,8609及11660建立的决策树诊断模型对白血病的诊断灵敏度为97.5％ （39/40）,特异性为91.9％ （34/37）.结论：由3个蛋白标记物构成的白血病蛋白质指纹图谱诊断模型为白血病的诊断提供了新的借鉴和参考.

Application of Surface Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry in the Diagnosis of Leukemia

This study was purposed to find new biomarkers and to establish protein finger print model for diagnosis of leukemia. A total of 40 leukemia samples and 37 healthy control samptes were tested by surface enhance laser desorptiort/ionization time-of-flight mass spectrometry （SELDI-TOF- MS ）. The data of spectra were analyzed by bioinformatics tools like Biomarker Patterns 5.0 and discriminant analysis to establish diagnostic model. The results showed that 22 protein features were stably detected by protein fingerprint, The detective model combined with 3 biomarkers （ m/z 4650, 8609 and 11660） could differentiate leukemia with sensitivity of 97. 5% （39/40） and specificity of 91.9% （34/37）. It is concluded that the detective model established by 3 protein features may be a novel method for diagnosis of leukemia.