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首页> 外文期刊>Leukemia >Gene expression profiling distinguishes JAK2V617F-negative from JAK2V617F-positive patients in essential thrombocythemia
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Gene expression profiling distinguishes JAK2V617F-negative from JAK2V617F-positive patients in essential thrombocythemia

机译:基因表达谱将原发性血小板增多症中的JAK2V617F阴性患者与JAK2V617F阳性患者区分开

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摘要

To explore the gene expression signature in essential thrombocythemia (ET) patients in relation to JAK2V617F mutational status, expression profiling in circulating granulocytes was performed. Twenty ET were studied by microarray analysis and the results were confirmed by real-time quantitative RT-PCR in 40 ET patients, not receiving cytoreductive treatment. A heterogeneous molecular signature characterized by two main gene expression patterns was found: one with an upregulation of inflammatory genes related to neutrophil activation and thrombosis, and the other with significantly lower expression of these genes. Supervised clustering analysis showed 30 genes differentially expressed between JAK2V617F-negative and JAK2V617F-positive ET patients. Among the JAK2V617F-negative, a set of 14 genes (CISH, C13orf18, CCL3, PIM1, MAFF, SOCS3, ID2, GADD45B, KLF5, TNF, LAMB3, HRH4, TAGAP and TRIB1) showed an abnormal expression pattern. In this group of patients, CISH, SOCS2, SOCS3 and PIM1 genes, all involved in JAK-STAT signalling pathway, presented a lower expression. A two-gene predictor model was built comprising FOSB and CISH genes, which were the best discriminators of JAK2V617F status. In conclusion, JAK2V617F-negative ET patients present a characteristic gene expression profile, different from JAK2V617F-positive patients. Other pathways, besides JAK-STAT, might be implicated in the pathophysiology of JAK2V617F-negative ET patients.
机译:为了探索与JAK2V617F突变状态相关的原发性血小板增多症(ET)患者的基因表达特征,在循环粒细胞中进行了表达谱分析。通过微阵列分析研究了20例ET,并通过实时定量RT-PCR证实了40例未接受细胞减灭治疗的ET患者的结果。发现了以两种主要基因表达模式为特征的异质分子标记:一种具有与嗜中性粒细胞活化和血栓形成有关的炎性基因上调,另一种具有这些基因的表达明显较低。监督聚类分析显示,在JAK2V617F阴性和JAK2V617F阳性ET患者之间有30个差异表达的基因。在JAK2V617F阴性中,一组14个基因(CISH,C13orf18,CCL3,PIM1,MAFF,SOCS3,ID2,GADD45B,KLF5,TNF,LAMB3,HRH4,TAGAP和TRIB1)显示异常表达模式。在这组患者中,均参与JAK-STAT信号传导途径的CISH,SOCS2,SOCS3和PIM1基因表达较低。建立了包含FOSB和CISH基因的两基因预测模型,这是JAK2V617F状态的最佳判别指标。总之,与JAK2V617F阳性患者不同,JAK2V617F阴性ET患者表现出特征基因表达谱。除了JAK-STAT以外,其他途径也可能与JAK2V617F阴性ET患者的病理生理有关。

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