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High-throughput combinatorial screening identifies drugs that cooperate with ibrutinib to kill activated B-cell-like diffuse large B-cell lymphoma cells.


ABSTRACT: The clinical development of drug combinations is typically achieved through trial-and-error or via insight gained through a detailed molecular understanding of dysregulated signaling pathways in a specific cancer type. Unbiased small-molecule combination (matrix) screening represents a high-throughput means to explore hundreds and even thousands of drug-drug pairs for potential investigation and translation. Here, we describe a high-throughput screening platform capable of testing compounds in pairwise matrix blocks for the rapid and systematic identification of synergistic, additive, and antagonistic drug combinations. We use this platform to define potential therapeutic combinations for the activated B-cell-like subtype (ABC) of diffuse large B-cell lymphoma (DLBCL). We identify drugs with synergy, additivity, and antagonism with the Bruton's tyrosine kinase inhibitor ibrutinib, which targets the chronic active B-cell receptor signaling that characterizes ABC DLBCL. Ibrutinib interacted favorably with a wide range of compounds, including inhibitors of the PI3K-AKT-mammalian target of rapamycin signaling cascade, other B-cell receptor pathway inhibitors, Bcl-2 family inhibitors, and several components of chemotherapy that is the standard of care for DLBCL.

SUBMITTER: Mathews Griner LA 

PROVIDER: S-EPMC3926026 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature

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High-throughput combinatorial screening identifies drugs that cooperate with ibrutinib to kill activated B-cell-like diffuse large B-cell lymphoma cells.

Mathews Griner Lesley A LA   Guha Rajarshi R   Shinn Paul P   Young Ryan M RM   Keller Jonathan M JM   Liu Dongbo D   Goldlust Ian S IS   Yasgar Adam A   McKnight Crystal C   Boxer Matthew B MB   Duveau Damien Y DY   Jiang Jian-Kang JK   Michael Sam S   Mierzwa Tim T   Huang Wenwei W   Walsh Martin J MJ   Mott Bryan T BT   Patel Paresma P   Leister William W   Maloney David J DJ   Leclair Christopher A CA   Rai Ganesha G   Jadhav Ajit A   Peyser Brian D BD   Austin Christopher P CP   Martin Scott E SE   Simeonov Anton A   Ferrer Marc M   Staudt Louis M LM   Thomas Craig J CJ  

Proceedings of the National Academy of Sciences of the United States of America 20140127 6


The clinical development of drug combinations is typically achieved through trial-and-error or via insight gained through a detailed molecular understanding of dysregulated signaling pathways in a specific cancer type. Unbiased small-molecule combination (matrix) screening represents a high-throughput means to explore hundreds and even thousands of drug-drug pairs for potential investigation and translation. Here, we describe a high-throughput screening platform capable of testing compounds in p  ...[more]

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