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A high-throughput drug combination screen of targeted small molecule inhibitors in cancer cell lines.

ABSTRACT: While there is a high interest in drug combinations in cancer therapy, openly accessible datasets for drug combination responses are sparse. Here we present a dataset comprising 171 pairwise combinations of 19 individual drugs targeting signal transduction mechanisms across eight cancer cell lines, where the effect of each drug and drug combination is reported as cell viability assessed by metabolic activity. Drugs are chosen by their capacity to specifically interfere with well-known signal transduction mechanisms. Signalling processes targeted by the drugs include PI3K/AKT, NFkB, JAK/STAT, CTNNB1/TCF, and MAPK pathways. Drug combinations are classified as synergistic based on the Bliss independence synergy metrics. The data identifies combinations that synergistically reduce cancer cell viability and that can be of interest for further pre-clinical investigations.

SUBMITTER: Flobak A

PROVIDER: S-EPMC6820772 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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A high-throughput drug combination screen of targeted small molecule inhibitors in cancer cell lines.

Flobak Åsmund Å Niederdorfer Barbara B Nakstad Vu To VT Thommesen Liv L Klinkenberg Geir G Lægreid Astrid A

Scientific data 20191029 1

While there is a high interest in drug combinations in cancer therapy, openly accessible datasets for drug combination responses are sparse. Here we present a dataset comprising 171 pairwise combinations of 19 individual drugs targeting signal transduction mechanisms across eight cancer cell lines, where the effect of each drug and drug combination is reported as cell viability assessed by metabolic activity. Drugs are chosen by their capacity to specifically interfere with well-known signal tra ...[more]

PMID: 31664030

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