一个互动资源,以识别癌症的遗传和血统依赖性,以小分子为目标
Amrita Basu1, Nicole E Bodycombe1, Jaime H Cheah1
1The Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA.
Cell
|September 3, 2013
概括
研究人员分析了242个癌细胞系 (CCL),以找到新的药物点. 他们发现了特定基因突变与对小分子药物的敏感性之间的联系,有助于个性化癌症治疗.
科学领域:
- 基因组学就是基因组学.
- 药理学 药理学是指药理学的学科.
- 癌症生物学 癌症生物学
背景情况:
- 向疗法在具有特定基因组改变的癌症患者中显示出高临床响应率.
- 癌症细胞系 (CCL) 分析正在探索,以确定小分子药物敏感性的新生物标志物.
研究的目的:
- 量化测量242个基因组特征的CCL对354个小分子的敏感性.
- 发现与特定癌症基因组改变相关的蛋白质依赖性,并且可以被小分子准.
- 创建一个资源,用于将遗传特征与药物敏感性相关联,并控制CCL分析的混因素.
主要方法:
- 对242个癌细胞系 (CCL) 对354个小分子的定量敏感度测量.
- 测试的CCLs的基因组特征.
- 开发癌症治疗应对门户网站 (CTRP) 用于数据的相关性和分析.
主要成果:
- 鉴定与特定癌症基因组改变相关的蛋白质依赖性.
- 发现遗传特征与小分子敏感性之间的关联.
- 发现了一种候选依赖性:β-catenin中的激活突变与对纳维托克拉克斯 (Bcl-2家族对抗剂) 的敏感性相关.
结论:
- 这项研究为识别新的治疗假设提供了宝贵的资源.
- 这些发现加速了根据癌症患者的特定基因型和血统匹配的药物的发现.
- 癌症治疗反应门户网站通过将遗传特征与药物反应联系起来,促进了个性化医疗.
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