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首页> 外文期刊>Experimental Hematology: Official Publication of the International Society for Experimental Hematology >Abnormalities of the alphabeta T-cell receptor repertoire in advanced myelodysplastic syndrome.
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Abnormalities of the alphabeta T-cell receptor repertoire in advanced myelodysplastic syndrome.

机译:晚期骨髓增生异常综合症中字母T细胞受体库的异常。

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OBJECTIVE: Analysis of the alphabeta T-cell receptor (TCR) repertoire in patients with myelodysplastic syndrome (MDS) using the technique of TCR beta-chain spectratyping has provided valuable insight into the pathophysiology of cytopenias in a subset of patients with this heterogeneous disorder. TCR beta-chain spectratypes are complex data sets, however, and statistical tools for their comprehensive analysis are limited. The objective of the present work was to develop a method to enable quantitative evaluation and global comparison of spectratype data from different individuals and to study the prevalence of TCR beta repertoire abnormalities in MDS patients. MATERIALS AND METHODS: We developed a robust statistical method based on k-means clustering analysis, and applied this method to analysis of the alphabeta TCR repertoires in 50 MDS patients and 23 age-matched healthy controls. RESULTS: Cluster analysis identified a subset of 11 MDS patients with profoundly abnormal alphabeta TCR repertoires. This group of patients was characterized by advanced disease by International Prognostic Scoring System and World Health Organization criteria, increased expression of the Wilms' tumor-1 oncogene, increased bone marrow myeloblast count, and older age. CONCLUSIONS: We have developed a robust analytic algorithm that enables the comparison of alphabeta TCR repertoires between individuals and have shown that abnormal alphabeta TCR repertoire is a feature of a subset of patients with advanced MDS.
机译:目的:使用TCRβ链谱分析技术对骨髓增生异常综合征(MDS)患者的字母T细胞受体(TCR)谱进行分析,为了解这种异质性疾病患者中血细胞减少的病理生理学提供了宝贵的见识。 TCRβ链光谱类型是复杂的数据集,但是,对其进行全面分析的统计工具有限。本工作的目的是开发一种方法,能够对不同个体的光谱类型数据进行定量评估和全局比较,并研究MDS患者中TCR beta曲目库异常的患病率。材料与方法:我们开发了一种基于k均值聚类分析的稳健统计方法,并将该方法应用于50名MDS患者和23名年龄匹配的健康对照者的字母TCR谱表分析。结果:聚类分析确定了11名MDS患者的亚群,这些患者具有严重的字母TCR曲目异常。根据国际预后评分系统和世界卫生组织的标准,该组患者的特征是晚期疾病,Wilms'1肿瘤癌基因的表达增加,骨髓成纤维细胞计数增加和年龄增加。结论:我们已经开发了一种鲁棒的分析算法,可以比较个体之间的字母TCR库,并表明异常字母TCR库是晚期MDS患者子集的特征。

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