基于连接图的方法鉴定斑蝥素作为胶质母细胞瘤的候选药物

Zhiwei Qiao, T. Kondo
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引用次数: 1

摘要

胶质母细胞瘤(GBM)是成人最常见的脑肿瘤。虽然手术和放化疗的治疗方法有所改善,但GBM患者的预后仍然很差,迫切需要新的药物。因此,我们利用基于连接图(CMAP)的方法,在基因表达数据的基础上研究靶向GBM的小分子抑制剂。利用公开的基因表达数据进行荟萃分析,我们确定了GBM的基因表达特征。CMAP分析确定了15种治疗GBM的候选药物。我们利用GBM细胞系,证实了斑蝥素是CMAP分析中负富集评分最高的15种药物之一。我们的结果表明CMAP在发现治疗GBM的有效药物方面具有潜在的效用。这种方法可以应用于除GBM以外的其他恶性肿瘤。
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 cantharidin as a drug candidate for glioblastoma by using a Connectivity Map–based approach
Glioblastoma (GBM) is the most common brain tumor in adults. Although the surgical and chemoradiotherapy approaches for treatment have improved, the prognosis of patients with GBM is still poor and novel drugs are urgently required. Therefore, we investigated small molecular inhibitors to target GBM on the basis of gene expression data by using a Connectivity Map (CMAP)–based approach. Using meta-analysis performed with publically available gene expression data, we identified the gene expression signature of GBM. The CMAP analysis identified 15 candidate drugs for GBM treatment. We confirmed the anticancer cell proliferation activity of cantharidin as one of the top 15 drugs with high negative enrichment scores in CMAP analysis by using GBM cell lines. Our results indicate the potential utility of CMAP to discover the potent drugs in the GBM treatment. This approach can be applied to other malignancies than GBM.
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