A tool for discovering drug sensitivity and gene expression associations in cancer cells

Yong Qin; Anthony P. Conley; Elizabeth A. Grimm; Jason Roszik

doi:10.1371/journal.pone.0176763

A tool for discovering drug sensitivity and gene expression associations in cancer cells

Yong Qin, Anthony P. Conley, Elizabeth A. Grimm, Jason Roszik

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

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.

Original language	English (US)
Article number	e0176763
Journal	PloS one
Volume	12
Issue number	4
DOIs	https://doi.org/10.1371/journal.pone.0176763
State	Published - Apr 2017

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology
General Agricultural and Biological Sciences
General

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A tool for discovering drug sensitivity and gene expression associations in cancer cells

Abstract

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