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.
journal_name
Sci Datajournal_title
Scientific dataauthors
Flobak Å,Niederdorfer B,Nakstad VT,Thommesen L,Klinkenberg G,Lægreid Adoi
10.1038/s41597-019-0255-7subject
Has Abstractpub_date
2019-10-29 00:00:00pages
237issue
1issn
2052-4463pii
10.1038/s41597-019-0255-7journal_volume
6pub_type
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