多发性骨髓瘤潜在糖皮质激素受体治疗靶点的鉴定

Alexandra Thomas, C. Coarfa, J. Qian, Joseph J. Wilkerson, K. Rajapakshe, N. Krett, P. Gunaratne, S. Rosen
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引用次数: 15

摘要

糖皮质激素(GC)是多发性骨髓瘤联合治疗的基石。然而,由于糖皮质激素受体(GR)表达降低,患者最终对GCs产生耐药性。对诱导细胞死亡的GC作用的直接靶点的理解,有望最终实现在缺乏功能性GR的情况下通过调节下游靶点诱导细胞死亡的潜在治疗策略。我们研究的具体目标是确定导致GC诱导细胞死亡的主要GR靶点。我们的最终目标是围绕这些靶点开发新的治疗方法,在没有GR的情况下,利用MM.1S糖皮质激素敏感的人类骨髓瘤细胞系,我们从广泛的基因表达谱平台开始,通过与磷脂酰肌醇-3'-激酶抑制(PI3Ki)联合治疗,进一步鉴定糖皮质激素调节基因。为了进一步完善搜索,以区分GR对GC和PI3Ki联合处理MM.1S细胞的直接和间接目标,我们整合了1)GC联合处理与PI3Ki的基因表达谱,PI3Ki诱导协同细胞死亡;2) MM.1S细胞联合治疗抑制基因与骨髓瘤患者过表达基因负相关,建立临床相关性;3)骨髓瘤细胞GR染色质免疫沉淀,采用大规模平行测序(ChIP-Seq)技术,鉴定糖皮质激素受体(GR)的整体染色质结合。利用已建立的生物信息学平台,我们整合了这些数据集,以确定候选基因的子集,这些基因可能构成糖皮质激素在多发性骨髓瘤中作用的综合图像的基础。作为原理证明,我们证实了两个靶点RRM2和BCL2L1是GR参与gc诱导的细胞死亡的主要功能靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of potential glucocorticoid receptor therapeutic targets in multiple myeloma
Glucocorticoids (GC) are a cornerstone of combination therapies for multiple myeloma. However, patients ultimately develop resistance to GCs frequently based on decreased glucocorticoid receptor (GR) expression. An understanding of the direct targets of GC actions, which induce cell death, is expected to culminate in potential therapeutic strategies for inducing cell death by regulating downstream targets in the absence of a functional GR. The specific goal of our research is to identify primary GR targets that contribute to GC-induced cell death, with the ultimate goal of developing novel therapeutics around these targets that can be used to overcome resistance to GCs in the absence of GR. Using the MM.1S glucocorticoid-sensitive human myeloma cell line, we began with the broad platform of gene expression profiling to identify glucocorticoid-regulated genes further refined by combination treatment with phosphatidylinositol-3'-kinase inhibition (PI3Ki). To further refine the search to distinguish direct and indirect targets of GR that respond to the combination GC and PI3Ki treatment of MM.1S cells, we integrated 1) gene expression profiles of combination GC treatment with PI3Ki, which induces synergistic cell death; 2) negative correlation between genes inhibited by combination treatment in MM.1S cells and genes over-expressed in myeloma patients to establish clinical relevance and 3) GR chromatin immunoprecipitation with massively parallel sequencing (ChIP-Seq) in myeloma cells to identify global chromatin binding for the glucocorticoid receptor (GR). Using established bioinformatics platforms, we have integrated these data sets to identify a subset of candidate genes that may form the basis for a comprehensive picture of glucocorticoid actions in multiple myeloma. As a proof of principle, we have verified two targets, namely RRM2 and BCL2L1, as primary functional targets of GR involved in GC-induced cell death..
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