87例骨髓增生异常综合征多参数流式细胞术免疫表型分析 |
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引用本文: | 郭轶先,孙雪静,路继莲,刘聪燕,赵弘,万岁桂,徐娟. 87例骨髓增生异常综合征多参数流式细胞术免疫表型分析[J]. 内科急危重症杂志, 2009, 15(5): 241-244 |
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作者姓名: | 郭轶先 孙雪静 路继莲 刘聪燕 赵弘 万岁桂 徐娟 |
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作者单位: | 首都医科大学宣武医院,北京,100053 |
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摘 要: | 目的:了解骨髓增生异常综合征(MDS)的免疫表型特征。方法:利用CD45/SSC参数散点图设门方法,对87例MDS患者的骨髓幼稚细胞群、成熟粒细胞群和成熟单核细胞群细胞表面分化抗原进行分析。结果:MDS的异常免疫表型可以分为抗原跨系列表达、抗原跨阶段表达、成熟粒细胞抗原分化异常、抗原表达缺失或表达增强、成熟粒细胞或幼稚细胞群CD45/SSC表达异常。78例(90.0%)MDS患者可以检测到明确的异常抗原表达,74例(85.1%)存在≥2个免疫表型异常,异常免疫表型不仅存在于幼稚细胞群(70.0%),也存在于成熟粒细胞群(81.6%)和单核细胞群(39.1%).常见的异常免疫表型包括:成熟粒细胞群CD13/CD16分化异常(41.3%);幼稚细胞群CD45表达异常(34.5%);成熟粒细胞群跨系列表达CD38(29.9%);幼稚细胞群CD34+CD11b+跨阶段表达异常(24.1%);成熟粒细胞群SSC减低(11.5%);成熟粒细胞群跨系列表达CD56(8%);单核细胞群跨系列表达CD56(8%)。随着患者骨髓幼稚细胞比例增高,异常免疫表型数量也逐渐增多。结论:在大多数MDS患者骨髓细胞中可以检测到明确的异常免疫表型,在此基础上应用多参数流式细胞仪可以有助于MDS的诊断和预后判断。
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关 键 词: | 骨髓增生异常综合征 免疫表型 多参数流式细胞术 |
Analysis of Immunophenotype by Multi-color Flow Cytometry in 87 Cases With Myelodysplastic Syndrome |
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Affiliation: | GUO Yixian, SUN Xuejing, LU Jilian, et al.( Xuanwu Hospital, Capital Medical University, Beijing 100053, China) |
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Abstract: | Objective: To understand the characteristics of immunophenotype by multi-color cytometry in patients with myelodysplastic syndrome (MDS). Methods: FCM with four color and CD45/SSC gating were used to detect the antigen expression of myeloblast, granulocytes and monocytes in samples of bone marrow from 87 patients with MDS. Results: The abnormal phenotypes of MDS could be divided into five groups as asynchronous antigen expression, cross-lineage antigen expression, antigen over expression or antigen lack expression, abnormal pattern of antigen on granulocytes, and abnormal CD45/SSC expression on granulocytes or myeloblasts. The results showed that 78 patients(90. 0%) had abnormal phenotypes, 74 patients (85. 1%) had ≥2 abnormal phenotypes, abnomlal immunophenolype not only exist in blasts (70. 0%), but also in granulocytes (81.6%) and monocytes(39. 1%). The abnormal immunophenotypes included abnormal pattern CD13/CD16 (41.3 % ), abnormal expression of CD45 on blasts (34. 5%), abnormal expression of CD38 on granttbcytes (29. 9% ), abnormal expression of CD11b on blasts (24. 1 %) ,abnormal expression of CD56 on granulocytes and monocytes (8% and 8%). The number of abnormal phenotypes were more in HIGH RISK MDS than those in LOW RISK MDS. Conclusions: The abnormal immunophenotypes can be detected in the majority of patients with MDS and FCM may help identify MDS. |
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Keywords: | Myelodysplastic syndrome Immunophenotype Muhiparameter flow cytometry |
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