Abstract
The sensitivity of cancer cells to anticancer drugs is a crucial factor for developing effective treatments. However, it is still challenging to precisely predict the effectiveness of therapeutics in humans within a complex genomic and molecular context. We developed an interface which allows the user to rapidly explore drug sensitivity and gene expression associations. Predictions for how expression of various genes affect anticancer drug activity are available for all genes for a set of therapeutics based on data from various cell lines of different origin in the Cancer Cell Line Encyclopedia and the Genomics of Drug Sensitivity in Cancer projects. Our application makes discovery or validation of drug sensitivity and gene expression associations efficient. Effectiveness of this tool is demonstrated by multiple known and novel examples.
MeSH terms
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Antineoplastic Agents / pharmacology*
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Cell Line, Tumor
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Databases, Pharmaceutical
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Drug Discovery*
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Drug Screening Assays, Antitumor
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Gene Expression Regulation, Neoplastic / drug effects*
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Humans
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Internet
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NAD(P)H Dehydrogenase (Quinone) / metabolism
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Neoplasms / drug therapy*
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Neoplasms / metabolism*
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Software*
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Vascular Endothelial Growth Factor A / metabolism
Substances
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Antineoplastic Agents
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VEGFA protein, human
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Vascular Endothelial Growth Factor A
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NAD(P)H Dehydrogenase (Quinone)
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NQO1 protein, human
Grants and funding
This work has been supported by the generous philanthropic contributions to The University of Texas MD Anderson Moon Shots Program (JR). This work was also supported by the MD Anderson Cancer Center SPORE in Melanoma P50 CA093459 (EAG, YQ), the MD Anderson Cancer Center Support Grant P30-CA016672, the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation (YQ, EAG), and the Miriam and Jim Mulva and Aim Foundations.