一个CRISPR药物扰动地图,用于识别与常用的化疗药物结合的化合物
Hyeong-Min Lee1, William C Wright1, Min Pan1
1Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Nature communications
|November 13, 2023
概括
发现有效的癌症药物组合是具有挑战性的. 这项研究使用CRISPR屏幕来映射使癌细胞对化疗敏感的基因,确定神经母细胞瘤和其他癌症的改进组合疗法.
科学领域:
- 在瘤学瘤学.
- 遗传学 遗传学 是一个
- 药理学 药理学是指药理学的学科.
背景情况:
- 组合化疗对于癌症治疗至关重要,但发现有效的药物配对是困难的.
- 神经母细胞瘤是一种常见的儿科癌症,对高风险患者的结果不佳,需要新的治疗策略.
研究的目的:
- 开发一种使用大规模CRISPR淘汰屏幕发现协同药物组合的方法.
- 确定使癌细胞,特别是神经母细胞瘤对现有的化疗药物敏感的遗传脆弱性.
主要方法:
- 在18个细胞系 (10个神经母细胞瘤,8个其他细胞系) 进行了大规模的向CRISPR淘汰屏幕,使用8种常见的化疗药物治疗.
- 产生了94,320个独特的组合细胞系干扰,以创建药物敏感性的遗传地图.
- 进行了密集的药物对药物再选,以验证CRISPR指定的组合.
主要成果:
- 与标准护理组合相比,CRISPR识别的药物组合显示出更大的协同作用.
- 抑制PRKDC (非同类末端结合通路) 使高风险神经母细胞瘤细胞对多克索鲁比敏感.
- 在体外和体内使用患者衍生异种移植 (PDX) 模型验证了PRKDC抑制和多克索鲁比辛协同作用.
结论:
- 向的CRISPR屏幕提供了一种可行的和强大的方法来发现新的,协同作用的癌症药物组合.
- 这种方法为改进现有化疗和开发各种癌症新治疗策略提供了宝贵的资源.
- 这些发现突出了PRKDC作为一种潜在的治疗点,以提高神经母细胞瘤中多克索鲁比辛的疗效.
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