首页> 外文期刊>Molecular cancer therapeutics >Development of gene expression-based score to predict sensitivity of multiple myeloma cells to DNA methylation inhibitors
【24h】

Development of gene expression-based score to predict sensitivity of multiple myeloma cells to DNA methylation inhibitors

机译:开发基于基因表达的评分,以预测多发性骨髓瘤细胞对DNA甲基化抑制剂的敏感性

获取原文
获取原文并翻译 | 示例
           

摘要

Multiple myeloma is a plasma cell cancer with poor survival, characterized by the clonal expansion of multiple myeloma cells (MMC), primarily in the bone marrow. Novel compounds are currently tested in this disease, but partial or minor patients' responses are observed for most compounds used as a single agent. The design of predictors for drug efficacy could be most useful to better understand basic mechanisms targeted by these drugs and design clinical trials. In the current study, we report the building of a DNA methylation score (DM score) predicting the efficacy of decitabine, an inhibitor of DNA methyltransferase (DNMT), targeting methylation-regulated gene expression.DMscore was built by identifying 47 genes regulated by decitabine in human myeloma cell lines and the expression of which in primary MMCs of previously untreated patients is predictive for overall survival. A high DM score predicts patients' poor survival, and, of major interest, high sensitivity of primary MMCs or humanmyeloma cell lines to decitabine in vitro. Thus, DM score could be useful to design novel treatments with DMNT inhibitor in multiple myeloma and has highlighted 47 genes, the gene products of which could be important for multiple myeloma disease development.
机译:多发性骨髓瘤是存活率较差的浆细胞癌,其特征在于多发性骨髓瘤细胞(MMC)的克隆扩增,主要是在骨髓中。目前已在这种疾病中测试了新型化合物,但对于大多数用作单一药物的化合物,观察到部分或次要患者的反应。药物功效预测因子的设计对于更好地了解这些药物靶向的基本机制和设计临床试验可能是最有用的。在本研究中,我们报道了建立DNA甲基化评分(DM评分)的方法,该评分可预测地西他滨(一种靶向DNA甲基转移酶(DNMT)的抑制剂)针对甲基化调节基因表达的功效.DMscore是通过鉴定47种受地西他滨调节的基因而建立的在人类骨髓瘤细胞系中的表达及其在先前未经治疗的患者的原代MMC中的表达可预测整体存活率。高DM评分预示着患者的生存期较差,并且最重要的是,它预示了原代MMC或人骨髓瘤细胞系对地西他滨的高度敏感性。因此,DM评分可用于设计DMNT抑制剂治疗多发性骨髓瘤的新疗法,并突出了47个基因,其基因产物对多发性骨髓瘤疾病的发展可能很重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号