蛋白质指纹图谱技术在诊断白血病四种分型中的应用  

Application of protein fingerprinting technology in diagnosing 4 types of leukemia

作　　者：黄华[1] 陈林兴[1] 林美册 黄靖宇[1] 

机构地区：[1]汕头大学医学院第二附属医院,广东汕头515041

出　　处：《检验医学》2015年第2期173-176,共4页Laboratory Medicine

基　　金：广东省科技计划项目(2010B031600272)

摘　　要：目的对白血病典型的4种分型血清样本进行检测分析,建立白血病分型的蛋白质指纹图谱诊断模型。方法应用蛋白质指纹图谱技术检测16例急性粒细胞白血病M2a、18例慢性粒细胞白血病、14例急性淋巴细胞白血病及16例急性粒细胞白血病M3,采用Biomarker Wizard及Biomarker Patterns 5.0软件进行标记物的比较判别,建立决策树诊断模型。结果由m/z 3 376、8 055及9 421建立决策树诊断模型,其中16例急性粒细胞白血病M2a检出率为75.0%(12/16)、9例慢性粒细胞白血病检出率为100.0%(18/18)、14例急性淋巴细胞白血病检出率71.4%(10/14)、16例急性粒细胞白血病M3检出率为87.5%(12/14)。结论由3个蛋白标记峰构成的蛋白质指纹图谱诊断模型为白血病4种分型的诊断提供了新的借鉴和参考。Objective To establish protein fingerprinting model for the diagnosis of leukemia through determining 4typical types of leukemia. Methods A total of 16 acute myeloblastic leukemia M2 a samples,18 chronic myelocytic leukemia samples,14 acute lymphoblastic leukemia samples and 16 acute myeloblastic leukemia M3 samples were determined by protein fingerprinting technology. The comparison of biomarkers was performed by Biomarker Wizard and Biomarker Patterns 5. 0 to establish a diagnosis tree model. Results The diagnosis tree model combined with 3biomarkers（ m / z： 3 376,8 055 and 9 421） could detect 75% acute myeloblastic leukemia M2a（ 12 /16）,100. 0%chronic myelocytic leukemia（ 18 /18）,71. 4% acute lymphoblastic leukemia（ 10 /14） and 87. 5% acute myeloblastic leukemia M3（ 12 /14）. Conclusions The protein fingerprinting model established by 3 protein features maybe a novel method for diagnosing 4 types of leukemia.

关 键 词：白血病 分型 蛋白质指纹图谱技术 

分 类 号：R446.11[医药卫生—诊断学]