流式细胞术的免疫分析在恶性血液病诊断中发挥着重要作用.然而在慢性粒细胞白血病慢性期(chronic myeloid leukemia in chronic phase,CML-CP)的诊断中,流式细胞术主要作为辅助诊断手段.本研究使用流式细胞术分析了 500例CML-CP样本和106例非CML样本的免疫分析数据,采用统计学分析方法对CML组和非CML组进行显著性检验,并通过logistic回归构建诊断模型.结果显示,CML组和非CML组在Neu％、Baso％、CD10+％、CD38+％、CD56+％、CD64+CD16-％、CD15+CD11b+％和Eos％等标志物上存在显著差异(p＜0.01);并利用步进法构建出CMLflowscore诊断公式,该公式除常数外由5个指标构成,其受试者操作特征(receiver operating characteristic,ROC)曲线下面积为0.989,灵敏度为98.0％,特异性为96.2％.值得注意的是,本研究发现了 CML-CP在流式细胞诊断过程中的潜在诊断标志物,并构建了新的诊断公式,这些发现可以让流式细胞术在CML-CP的初次诊断中发挥关键作用.
A diagnostic model of chronic myelogenous leukemia based on flow cytometry
Flow cytometry immunophenotyping plays a prominent role in diagnosis of malignant hematological disor-ders.However,in the diagnosis of chronic myeloid leukemia in chronic phase(CML-CP),flow cytometry serves primar-ily as an auxiliary diagnostic tool.We analyze the immunoassay data from 500 CML-CP patients and 106 non-CML pa-tients with flow cytometry,use statistical analysis to test the significance of CML and non-CML groups,and construct di-agnostic model by logistic regression.The results show that there are significant differences(p＜0.01)between the markers of CML and non-CML groups,such as Neu％,Baso％,CD10+％,CD38+％,CD56+％,CD64-CD16-％,CD15+CD11b+％,and Eos％.The stepwise method is used to construct the CMLflowscore diagnostic formula,which consisted of five indicators in addition to the constant,and its area under the receiver operating characteristic(ROC)curve is 0.989,with a sensitivity of 98.0％and a specificity of 96.2％.Notably,the potential diagnostic markers for CML-CP are identified,and a novel diagnostic formula is constructed.These findings suggest that flow cytometry can play a crucial role in the initial diagnosis of CML-CP.
万方数据
维普
