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一种用于鉴定和表征神经胶质瘤干细胞抑制剂的分子筛选方法。

A molecular screening approach to identify and characterize inhibitors of glioblastoma stem cells.

机构信息

Intellectual and Developmental Disabilities Research Center, Department of Psychiatry, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA.

出版信息

Mol Cancer Ther. 2011 Oct;10(10):1818-28. doi: 10.1158/1535-7163.MCT-11-0268. Epub 2011 Aug 22.

Abstract

Glioblastoma (GBM) is among the most lethal of all cancers. GBM consist of a heterogeneous population of tumor cells among which a tumor-initiating and treatment-resistant subpopulation, here termed GBM stem cells, have been identified as primary therapeutic targets. Here, we describe a high-throughput small molecule screening approach that enables the identification and characterization of chemical compounds that are effective against GBM stem cells. The paradigm uses a tissue culture model to enrich for GBM stem cells derived from human GBM resections and combines a phenotype-based screen with gene target-specific screens for compound identification. We used 31,624 small molecules from 7 chemical libraries that we characterized and ranked based on their effect on a panel of GBM stem cell-enriched cultures and their effect on the expression of a module of genes whose expression negatively correlates with clinical outcome: MELK, ASPM, TOP2A, and FOXM1b. Of the 11 compounds meeting criteria for exerting differential effects across cell types used, 4 compounds showed selectivity by inhibiting multiple GBM stem cells-enriched cultures compared with nonenriched cultures: emetine, n-arachidonoyl dopamine, n-oleoyldopamine (OLDA), and n-palmitoyl dopamine. ChemBridge compounds #5560509 and #5256360 inhibited the expression of the 4 mitotic module genes. OLDA, emetine, and compounds #5560509 and #5256360 were chosen for more detailed study and inhibited GBM stem cells in self-renewal assays in vitro and in a xenograft model in vivo. These studies show that our screening strategy provides potential candidates and a blueprint for lead compound identification in larger scale screens or screens involving other cancer types.

摘要

胶质母细胞瘤(GBM)是所有癌症中最致命的一种。GBM 由肿瘤细胞的异质性群体组成,其中已鉴定出肿瘤起始和治疗耐药的亚群,即 GBM 干细胞,作为主要的治疗靶点。在这里,我们描述了一种高通量小分子筛选方法,该方法可用于鉴定和表征对 GBM 干细胞有效的化学化合物。该范例使用组织培养模型来富集源自人 GBM 切除物的 GBM 干细胞,并将基于表型的筛选与化合物鉴定的基因靶特异性筛选相结合。我们使用了 7 个化学文库中的 31624 个小分子,根据它们对一组 GBM 干细胞富集培养物的影响以及对表达与临床结果负相关的基因模块的影响对其进行了表征和排序:MELK、ASPM、TOP2A 和 FOXM1b。在用于施加跨细胞类型差异效应的 11 种符合标准的化合物中,有 4 种化合物与非富集培养物相比,对多种 GBM 干细胞富集培养物具有选择性:依米丁、n-花生四烯酸多巴胺、n-油酰多巴胺(OLDA)和 n-棕榈酰多巴胺。ChemBridge 化合物 #5560509 和 #5256360 抑制了 4 个有丝分裂模块基因的表达。OLDA、依米丁和化合物 #5560509 和 #5256360 被选为更详细的研究,并在体外自我更新测定和体内异种移植模型中抑制了 GBM 干细胞。这些研究表明,我们的筛选策略为在更大规模的筛选或涉及其他癌症类型的筛选中鉴定潜在候选物和先导化合物提供了蓝图。

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