Androgen receptor (AR) is a ligand-activated transcription factor that is the main target for treatment of non-organ-confined prostate cancer (CaP). Failure of life-prolonging AR-targeting androgen deprivation therapy is due to flexibility in steroidogenic pathways that control intracrine androgen levels and variability in the AR transcriptional output.
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Androgen biosynthesis enzymes, androgen transporters and AR-associated coregulators are attractive novel CaP treatment targets. These proteins, however, are characterized by multiple transcript variants and isoforms, are subject to genomic alterations, and are differentially expressed among CaPs. Determining their therapeutic potential requires evaluation of extensive, diverse datasets that are dispersed over multiple databases, websites and literature reports. Mining and integrating these datasets are cumbersome, time-consuming tasks and provide only snapshots of relevant information. To overcome this impediment to effective, efficient study of AR and potential drug targets, we developed the Regulators of Androgen Action Resource (RAAR), a non-redundant, curated and user-friendly searchable web interface. RAAR centralizes information on gene function, clinical relevance, and resources for 55 genes that encode proteins involved in biosynthesis, metabolism and transport of androgens and for 274 AR-associated coregulator genes. Data in RAAR are organized in two levels: (i) Information pertaining to production of androgens is contained in a 'pre-receptor level' database, and coregulator gene information is provided in a 'post-receptor level' database, and (ii) an 'other resources' database contains links to additional databases that are complementary to and useful to pursue further the information provided in RAAR. For each of its 329 entries, RAAR provides access to more than 20 well-curated publicly available databases, and thus, access to thousands of data points. Hyperlinks provide direct access to gene-specific entries in the respective database(s). RAAR is a novel, freely available resource that provides fast, reliable and easy access to integrated information that is needed to develop alternative CaP therapies. Database URL: http://www. lerner. ccf. org/cancerbio/heemers/RAAR/search/.
Database : the journal of biological databases and curation. 2016 Feb 13*** epublish ***
Adam D DePriest, Michael V Fiandalo, Simon Schlanger, Frederike Heemers, James L Mohler, Song Liu, Hannelore V Heemers
Department of Cancer Genetics, Department of Urology, Roswell Park Cancer Institute, Buffalo, NY, USA. , Department of Cancer Biology, Cleveland Clinic, Cleveland, OH, USA. , Department of Cancer Biology, Cleveland Clinic, Cleveland, OH, USA. , Department of Urology, Roswell Park Cancer Institute, Buffalo, NY, USA. , Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY, USA. , Department of Cancer Biology, Cleveland Clinic, Cleveland, OH, USA Department of Urology Department of Hematology/Medical Oncology, Cleveland Clinic, Cleveland, OH, USA