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从单个供体模拟人 MLL-AF9 易位急性髓系白血病揭示 RET 作为潜在治疗靶点。

Modeling human MLL-AF9 translocated acute myeloid leukemia from single donors reveals RET as a potential therapeutic target.

机构信息

Centre de recherche en infectiologie du CHUL, Centre de recherche du CHU de Québec, Quebec City, Quebec, Canada.

CHU de Québec Hôpital Enfant-Jésus, Quebec City, Quebec, Canada.

出版信息

Leukemia. 2017 May;31(5):1166-1176. doi: 10.1038/leu.2016.302. Epub 2016 Oct 26.

Abstract

Acute myeloid leukemias (AMLs) result from a series of genetic events occurring in a stem or progenitor hematopoietic cell that gives rise to their clonal expansion and an impaired capacity to differentiate. To circumvent the genetic heterogeneity of AML patient cohorts, we have developed a model system, driven by the MLL-AF9 (MA9) oncogene, to generate multiple human leukemias using progenitor cells from a single healthy donor. Through stepwise RNA-sequencing data generated using this model and AML patients, we have identified consistent changes associated with MA9-driven leukemogenesis and demonstrate that no recurrent secondary mutations are required. We identify 39 biomarkers whose high expression level is specific to this genetic subtype of AML and validate that many of these have diagnostic utility. We further examined one biomarker, the receptor tyrosine kinase (RTK) RET, and show through shRNA knockdowns that its expression is essential for in vivo and in vitro growth of MA9-AML. These results highlight the value of novel human models of AML derived from single donors using specific oncogenic fusions to understand their biology and to uncover potential therapeutic targets.

摘要

急性髓系白血病(AML)是由一系列发生在干细胞或祖细胞造血细胞中的遗传事件引起的,这些事件导致其克隆扩增和分化能力受损。为了规避 AML 患者群体的遗传异质性,我们开发了一种模型系统,该系统由 MLL-AF9(MA9)癌基因驱动,使用来自单个健康供体的祖细胞生成多种人类白血病。通过使用该模型和 AML 患者生成的逐步 RNA-seq 数据,我们确定了与 MA9 驱动的白血病发生相关的一致变化,并证明不需要反复出现的继发突变。我们确定了 39 个生物标志物,其高表达水平是这种特定遗传亚型 AML 的特异性,并验证了其中许多具有诊断效用。我们进一步研究了一个生物标志物,受体酪氨酸激酶(RTK)RET,并通过 shRNA 敲低表明其表达对于 MA9-AML 的体内和体外生长是必需的。这些结果突出了使用特定致癌融合从单个供体中衍生的新型 AML 人类模型的价值,以了解其生物学并发现潜在的治疗靶点。

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