Abstract

Abstract Understanding the influences of molecular alterations on pharmacological responses in the omic sense is at the fore of the effort to make oncology more effective and specific. At present, however, this remains a field in its infancy. The NCI-60 cancerous cell lines provide a premier set of databases for systems molecular pharmacological studies. This is due to the availability of both the robust, high-quality activity profiles generated by the Developmental Therapeutics Program (https://dtp.cancer.gov), and the panoply of molecular and phenotypic information available. The CellMiner web-application (http://discover.nci.nih.gov/cellminer) provides the user access to both of these. Activity data is available for 20,861 compounds, including 159 Food and Drug Administration (FDA)-approved, 85 clinical trial, and 443 known mechanism-of-action drugs. The molecular data includes transcript expression for 25,772 genes, genetic variants for 16,568 genes, transcript expression for 360 microRNAs, protein levels for 94 genes, DNA copy number (from aCGH) for 23,413 genes, and soon DNA methylation levels for 17,559 genes. “Cell line signatures” are provided for each of these data types, facilitating their comparison. It also provides “Pattern comparisons” for any input pattern of interest to 87,419 activity, molecular and phenotypic patterns (For CellMiner 1.7). Here we present our CellMiner updates, examples of data integration, and translationally relevant results. Citation Format: William C. Reinhold, Margot Sunshine, Sudir Varma, James Doroshow, Yves Pommier. CellMiner, a systems pharmacological web-application for the NCI-60 cancerous cell-lines: Updates, data integration, and translationally relevant results. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 75.

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