伊布替尼
布鲁顿酪氨酸激酶
癌症研究
弥漫性大B细胞淋巴瘤
计算生物学
药品
淋巴瘤
生物
高通量筛选
信号转导
药理学
慢性淋巴细胞白血病
酪氨酸激酶
白血病
生物信息学
免疫学
遗传学
作者
Lesley A. Mathews Griner,Rajarshi Guha,Paul Shinn,Ryan M. Young,Jonathan M. Keller,Dongbo Liu,Ian S. Goldlust,Adam Yasgar,Crystal McKnight,Matthew B. Boxer,Damien Y. Duveau,Jian‐kang Jiang,Sam Michael,Tim Mierzwa,Wenwei Huang,Martin J. Walsh,Bryan T. Mott,Paresma Patel,William Leister,David J. Maloney
标识
DOI:10.1073/pnas.1311846111
摘要
Significance The treatment of cancer is highly reliant on drug combinations. Next-generation, targeted therapeutics are demonstrating interesting single-agent activities in clinical trials; however, the discovery of companion drugs through iterative clinical trial-and-error is not a tenable mechanism to prioritize clinically important combinations for these agents. Herein we describe the results of a large, high-throughput combination screen of the Bruton’s tyrosine kinase inhibitor ibrutinib versus a library of nearly 500 approved and investigational drugs. Multiple ibrutinib combinations were discovered through this study that can be prioritized for clinical examination.
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