COXEN: A New In Silico Pharmacogenomic Approach to Personalized Chemotherapeutics
*Jae K Lee, University of Virginia Keywords: COXEN, Expression profiling, Personalized chemotherapeutics NCI has used a panel of 60 diverse human cancer cell lines to screen >100K chemical compounds for anticancer activity. We identify common chemosensitivity biomarkers by developing a novel statistical pharmacogenomic approach “Co-eXpression ExtrapolatioN” (COXEN), which can effectively identify concordant genomic chemosensitivity biomarkers between two independent expression profiling data sets, extrapolating the genomic expression patterns of NCI-60 biomarkers with those of clinical tumors. Applying COXEN, we predicted anticancer drug activities on completely independent bladder cancer, which is not included in the NCI-60 panel, and on breast cancer patients treated with commonly used chemotherapeutics with >80% accuracy. We also used COXEN for in silico screening of 45,545 compounds and identify a novel agent with superior growth inhibition activity against human bladder cancer.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
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August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
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August 26, 2013
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September 9, 2013
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September 16 - September 18, 2013
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