Dataset Information

Bypassing Drug Resistance Mechanisms of Prostate Cancer with Small Molecules that Target Androgen Receptor-Chromatin Interactions.

ABSTRACT: Human androgen receptor (AR) is a hormone-activated transcription factor that is an important drug target in the treatment of prostate cancer. Current small-molecule AR antagonists, such as enzalutamide, compete with androgens that bind to the steroid-binding pocket of the AR ligand-binding domain (LBD). In castration-resistant prostate cancer (CRPC), drug resistance can manifest through AR-LBD mutations that convert AR antagonists into agonists, or by expression of AR variants lacking the LBD. Such treatment resistance underscores the importance of novel ways of targeting the AR. Previously, we reported the development of a series of small molecules that were rationally designed to selectively target the AR DNA-binding domain (DBD) and, hence, to directly interfere with AR-DNA interactions. In the current work, we have confirmed that the lead AR DBD inhibitor indeed directly interacts with the AR-DBD and tested that substance across multiple clinically relevant CRPC cell lines. We have also performed a series of experiments that revealed that genome-wide chromatin binding of AR was dramatically impacted by the lead compound (although with lesser effect on AR variants). Collectively, these observations confirm the novel mechanism of antiandrogen action of the developed AR-DBD inhibitors, establishing proof of principle for targeting DBDs of nuclear receptors in endocrine cancers. Mol Cancer Ther; 16(10); 2281-91. ©2017 AACR.

SUBMITTER: Dalal K

PROVIDER: S-EPMC5628141 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Bypassing Drug Resistance Mechanisms of Prostate Cancer with Small Molecules that Target Androgen Receptor-Chromatin Interactions.

Dalal Kush K Che Meixia M Que Nanette S NS Sharma Aishwariya A Yang Rendong R Lallous Nada N Borgmann Hendrik H Ozistanbullu Deniz D Tse Ronnie R Ban Fuqiang F Li Huifang H Tam Kevin J KJ Roshan-Moniri Mani M LeBlanc Eric E Gleave Martin E ME Gewirth Daniel T DT Dehm Scott M SM Cherkasov Artem A Rennie Paul S PS

Molecular cancer therapeutics 20170803 10

Human androgen receptor (AR) is a hormone-activated transcription factor that is an important drug target in the treatment of prostate cancer. Current small-molecule AR antagonists, such as enzalutamide, compete with androgens that bind to the steroid-binding pocket of the AR ligand-binding domain (LBD). In castration-resistant prostate cancer (CRPC), drug resistance can manifest through AR-LBD mutations that convert AR antagonists into agonists, or by expression of AR variants lacking the LBD. ...[more]

PMID: 28775145

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Project description:Most small molecule drugs interact with unintended, often unknown, biological targets and these off-target interactions may lead to both preclinical and clinical toxic events. Undesired off-target interactions are often not detected using current drug discovery assays, such as experimental polypharmacological screens. Thus, improvement in the early identification of off-target interactions represents an opportunity to reduce safety-related attrition rates during preclinical and clinical development. In order to better identify potential off-target interactions that could be linked to predictable safety issues, a novel computational approach to predict safety-relevant interactions currently not covered was designed and evaluated. These analyses, termed Off-Target Safety Assessment (OTSA), cover more than 7,000 targets (~35% of the proteome) and > 2,46,704 preclinical and clinical alerts (as of January 20, 2019). The approach described herein exploits a highly curated training set of >1 million compounds (tracking >20 million compound-structure activity relationship/SAR data points) with known in vitro activities derived from patents, journals, and publicly available databases. This computational process was used to predict both the primary and secondary pharmacological activities for a selection of 857 diverse small molecule drugs for which extensive secondary pharmacology data are readily available (456 discontinued and 401 FDA approved). The OTSA process predicted a total of 7,990 interactions for these 857 molecules. Of these, 3,923 and 4,067 possible high-scoring interactions were predicted for the discontinued and approved drugs, respectively, translating to an average of 9.3 interactions per drug. The OTSA process correctly identified the known pharmacological targets for >70% of these drugs, but also predicted a significant number of off-targets that may provide additional insight into observed in vivo effects. About 51.5% (2,025) and 22% (900) of these predicted high-scoring interactions have not previously been reported for the discontinued and approved drugs, respectively, and these may have a potential for repurposing efforts. Moreover, for both drug categories, higher promiscuity was observed for compounds with a MW range of 300 to 500, TPSA of ~200, and clogP ≥7. This computation also revealed significantly lower promiscuity (i.e., number of confirmed off-targets) for compounds with MW > 700 and MW<200 for both categories. In addition, 15 internal small molecules with known off-target interactions were evaluated. For these compounds, the OTSA framework not only captured about 56.8% of in vitro confirmed off-target interactions, but also identified the right pharmacological targets for 14 compounds as one of the top scoring targets. In conclusion, the OTSA process demonstrates good predictive performance characteristics and represents an additional tool with utility during the lead optimization stage of the drug discovery process. Additionally, the computed physiochemical properties such as clogP (i.e., lipophilicity), molecular weight, pKa and logS (i.e., solubility) were found to be statistically different between the approved and discontinued drugs, but the internal compounds were close to the approved drugs space in most part.

Dataset Information

Bypassing Drug Resistance Mechanisms of Prostate Cancer with Small Molecules that Target Androgen Receptor-Chromatin Interactions.

Publications

Bypassing Drug Resistance Mechanisms of Prostate Cancer with Small Molecules that Target Androgen Receptor-Chromatin Interactions.

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