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The kinase polypharmacology landscape of clinical PARP inhibitors

Polypharmacology plays an important role in defining response and adverse effects of drugs. For some mechanisms, experimentally mapping polypharmacology is commonplace, although this is typically done within the same protein class. Four PARP inhibitors have been approved by the FDA as cancer therape...

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Autores principales: Antolin, Albert A., Ameratunga, Malaka, Banerji, Udai, Clarke, Paul A., Workman, Paul, Al-Lazikani, Bissan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026418/
https://www.ncbi.nlm.nih.gov/pubmed/32066817
http://dx.doi.org/10.1038/s41598-020-59074-4
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author Antolin, Albert A.
Ameratunga, Malaka
Banerji, Udai
Clarke, Paul A.
Workman, Paul
Al-Lazikani, Bissan
author_facet Antolin, Albert A.
Ameratunga, Malaka
Banerji, Udai
Clarke, Paul A.
Workman, Paul
Al-Lazikani, Bissan
author_sort Antolin, Albert A.
collection PubMed
description Polypharmacology plays an important role in defining response and adverse effects of drugs. For some mechanisms, experimentally mapping polypharmacology is commonplace, although this is typically done within the same protein class. Four PARP inhibitors have been approved by the FDA as cancer therapeutics, yet a precise mechanistic rationale to guide clinicians on which to choose for a particular patient is lacking. The four drugs have largely similar PARP family inhibition profiles, but several differences at the molecular and clinical level have been reported that remain poorly understood. Here, we report the first comprehensive characterization of the off-target kinase landscape of four FDA-approved PARP drugs. We demonstrate that all four PARP inhibitors have a unique polypharmacological profile across the kinome. Niraparib and rucaparib inhibit DYRK1s, CDK16 and PIM3 at clinically achievable, submicromolar concentrations. These kinases represent the most potently inhibited off-targets of PARP inhibitors identified to date and should be investigated further to clarify their potential implications for efficacy and safety in the clinic. Moreover, broad kinome profiling is recommended for the development of PARP inhibitors as PARP-kinase polypharmacology could potentially be exploited to modulate efficacy and side-effect profiles.
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spelling pubmed-70264182020-02-26 The kinase polypharmacology landscape of clinical PARP inhibitors Antolin, Albert A. Ameratunga, Malaka Banerji, Udai Clarke, Paul A. Workman, Paul Al-Lazikani, Bissan Sci Rep Article Polypharmacology plays an important role in defining response and adverse effects of drugs. For some mechanisms, experimentally mapping polypharmacology is commonplace, although this is typically done within the same protein class. Four PARP inhibitors have been approved by the FDA as cancer therapeutics, yet a precise mechanistic rationale to guide clinicians on which to choose for a particular patient is lacking. The four drugs have largely similar PARP family inhibition profiles, but several differences at the molecular and clinical level have been reported that remain poorly understood. Here, we report the first comprehensive characterization of the off-target kinase landscape of four FDA-approved PARP drugs. We demonstrate that all four PARP inhibitors have a unique polypharmacological profile across the kinome. Niraparib and rucaparib inhibit DYRK1s, CDK16 and PIM3 at clinically achievable, submicromolar concentrations. These kinases represent the most potently inhibited off-targets of PARP inhibitors identified to date and should be investigated further to clarify their potential implications for efficacy and safety in the clinic. Moreover, broad kinome profiling is recommended for the development of PARP inhibitors as PARP-kinase polypharmacology could potentially be exploited to modulate efficacy and side-effect profiles. Nature Publishing Group UK 2020-02-17 /pmc/articles/PMC7026418/ /pubmed/32066817 http://dx.doi.org/10.1038/s41598-020-59074-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Antolin, Albert A.
Ameratunga, Malaka
Banerji, Udai
Clarke, Paul A.
Workman, Paul
Al-Lazikani, Bissan
The kinase polypharmacology landscape of clinical PARP inhibitors
title The kinase polypharmacology landscape of clinical PARP inhibitors
title_full The kinase polypharmacology landscape of clinical PARP inhibitors
title_fullStr The kinase polypharmacology landscape of clinical PARP inhibitors
title_full_unstemmed The kinase polypharmacology landscape of clinical PARP inhibitors
title_short The kinase polypharmacology landscape of clinical PARP inhibitors
title_sort kinase polypharmacology landscape of clinical parp inhibitors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7026418/
https://www.ncbi.nlm.nih.gov/pubmed/32066817
http://dx.doi.org/10.1038/s41598-020-59074-4
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