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공공누리This item is licensed Korea Open Government License

dc.contributor.author
Bin Chen
dc.contributor.author
Atul J Butte
dc.contributor.author
백효정
dc.date.accessioned
2019-08-28T07:42:07Z
dc.date.available
2019-08-28T07:42:07Z
dc.date.issued
2017-07-12
dc.identifier.issn
2041-1723
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14662
dc.description.abstract
The decreasing cost of genomic technologies has enabled the molecular characterization of large-scale clinical disease samples and of molecular changes upon drug treatment in various disease models. Exploring methods to relate diseases to potentially efficacious drugs through various molecular features is critically important in the discovery of new therapeutics. Here we show that the potency of a drug to reverse cancer-associated gene expression changes positively correlates with that drug’s efficacy in preclinical models of breast, liver and colon cancers. Using a systems-based approach, we predict four compounds showing high potency to reverse gene expression in liver cancer and validate that all four compounds are effective in five liver cancer cell lines. The in vivo efficacy of pyrvinium pamoate is further confirmed in a subcutaneous xenograft model. In conclusion, this systems-based approach may be complementary to the traditional target-based approach in connecting diseases to potentially efficacious drugs.
dc.language
eng
dc.relation.ispartofseries
Nature Communications
dc.title
Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets
dc.citation.startPage
16022
dc.citation.volume
8
dc.subject.keyword
Drug repositioning
dc.subject.keyword
Drug development
dc.subject.keyword
liver cancer
dc.subject.keyword
big data
dc.subject.keyword
reversal relation
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