在肺癌中指定个性化治疗的化学第一方法
Elizabeth A McMillan1, Myung-Jeom Ryu2, Caroline H Diep1
1Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Cell
|April 24, 2018
概括
研究人员通过对癌细胞模型进行选, 发现了肺癌的新药标. 这种方法确定了171种化学遗传联系, 揭示了缺乏有效治疗的特定癌症类型的脆弱性.
科学领域:
- 癌症学
- 药理学
- 遗传学
背景情况:
- 癌症表现出极大的遗传多样性,
- 开发针对独特癌症机制的药物仍然是一个重大挑战.
研究的目的:
- 通过化学第一方法识别可用药物的新目标和患者选择假设.
- 探索肺癌中的机械脆弱性的向性.
主要方法:
- 一个以多样性为导向的20万种化合物的化学库被选.
- 在100多个注释的肺癌细胞模型中进行了查.
- 一个化学第一发现范式被用于目标识别.
主要成果:
- 发现了171种化学遗传关联.
- 机械脆弱性与特定的瘤类型有关.
- 其中包括纤维生成 (TTC21B突变) 和血清蛋白生物合成 (KRAS/KEAP1双突变) 的依赖性.
结论:
- 这项研究强调了癌症药物开发的众多可行的机会.
- 这种方法可以发现治疗选择有限的患者群体的目标.
- 通过对各种癌症模型进行化学图书馆分析,
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