| URL: | http://mdp.unimore.it |
| Full name: | Mutations and Drugs Portal |
| Description: | The Mutations and Drugs Portal (MDP) is a public accessible database that interconnects pharmacological information extracted from the NCI60 DTP screening with genomic data of the CCLE and NCI60 projects that has been designed with the aim to develop novel targeted therapies by identifying cancer cells with specific drug sensitivity as a result of genetic abnormalities. The MDP database builds on exome-sequencing and drug response data from the NCI60 and the CCLE datasets. |
| Year founded: | 2015 |
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| Accessibility: |
Accessible
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| Country/Region: | Italy |
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| University/Institution: | University of Modena and Reggio Emilia |
| Address: | Department of Life Sciences, University of Modena and Reggio Emilia, Modena 41125, Italy |
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| Country/Region: | Italy |
| Contact name (PI/Team): | Cristian Taccioli |
| Contact email (PI/Helpdesk): | cristian.taccioli@unipd.it |
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MDP, a database linking drug response data to genomic information, identifies dasatinib and statins as a combinatorial strategy to inhibit YAP/TAZ in cancer cells. [PMID: 26513174]
Targeted anticancer therapies represent the most effective pharmacological strategies in terms of clinical responses. In this context, genetic alteration of several oncogenes represents an optimal predictor of response to targeted therapy. Integration of large-scale molecular and pharmacological data from cancer cell lines promises to be effective in the discovery of new genetic markers of drug sensitivity and of clinically relevant anticancer compounds. To define novel pharmacogenomic dependencies in cancer, we created the Mutations and Drugs Portal (MDP, http://mdp.unimore.it), a web accessible database that combines the cell-based NCI60 screening of more than 50,000 compounds with genomic data extracted from the Cancer Cell Line Encyclopedia and the NCI60 DTP projects. MDP can be queried for drugs active in cancer cell lines carrying mutations in specific cancer genes or for genetic markers associated to sensitivity or resistance to a given compound. As proof of performance, we interrogated MDP to identify both known and novel pharmacogenomics associations and unveiled an unpredicted combination of two FDA-approved compounds, namely statins and Dasatinib, as an effective strategy to potently inhibit YAP/TAZ in cancer cells. |