CancerResource--updated database of cancer-relevant proteins, mutations and interacting drugs

Here, we present an updated version of CancerResource, freely available without registration at http://bioinformatics.charite.de/care. With upcoming information on target expression and mutations in patients' tumors, the need for systems supporting decisions on individual therapy is growing. Th...

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Veröffentlicht in:Nucleic acids research 2016-01, Vol.44 (D1), p.D932-D937
Hauptverfasser: Gohlke, Bjoern-Oliver, Nickel, Janette, Otto, Raik, Dunkel, Mathias, Preissner, Robert
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container_end_page D937
container_issue D1
container_start_page D932
container_title Nucleic acids research
container_volume 44
creator Gohlke, Bjoern-Oliver
Nickel, Janette
Otto, Raik
Dunkel, Mathias
Preissner, Robert
description Here, we present an updated version of CancerResource, freely available without registration at http://bioinformatics.charite.de/care. With upcoming information on target expression and mutations in patients' tumors, the need for systems supporting decisions on individual therapy is growing. This knowledge is based on numerous, experimentally validated drug-target interactions and supporting analyses such as measuring changes in gene expression using microarrays and HTS-efforts on cell lines. To enable a better overview about similar drug-target data and supporting information, a series of novel information connections are established and made available as described in the following. CancerResource contains about 91,000 drug-target relations, more than 2000 cancer cell lines and drug sensitivity data for about 50,000 drugs. CancerResource enables the capability of uploading external expression and mutation data and comparing them to the database's cell lines. Target genes and compounds are projected onto cancer-related pathways to get a better overview about how drug-target interactions benefit the treatment of cancer. Features like cellular fingerprints comprising of mutations, expression values and drug-sensitivity data can promote the understanding of genotype to drug sensitivity associations. Ultimately, these profiles can also be used to determine the most effective drug treatment for a cancer cell line most similar to a patient's tumor cells.
doi_str_mv 10.1093/nar/gkv1283
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source Oxford Journals Open Access Collection; MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Antineoplastic Agents - pharmacology
Cell Line, Tumor
Database Issue
Databases, Genetic
Gene Expression
Humans
Mutation
Neoplasm Proteins - metabolism
Neoplasms - genetics
Neoplasms - metabolism
title CancerResource--updated database of cancer-relevant proteins, mutations and interacting drugs
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