It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details






1 The Institute of Cancer Research, Department of Data Science, London, UK (GRID:grid.18886.3f) (ISNI:0000 0001 1271 4623); The Institute of Cancer Research, Cancer Research UK Cancer Therapeutics Unit, London, UK (GRID:grid.18886.3f) (ISNI:0000 0001 1271 4623)
2 The Institute of Cancer Research, Drug Development Unit, London, UK (GRID:grid.18886.3f) (ISNI:0000 0001 1271 4623)
3 The Institute of Cancer Research, Drug Development Unit, London, UK (GRID:grid.18886.3f) (ISNI:0000 0001 1271 4623); The Institute of Cancer Research, Cancer Research UK Cancer Therapeutics Unit, London, UK (GRID:grid.18886.3f) (ISNI:0000 0001 1271 4623)
4 The Institute of Cancer Research, Cancer Research UK Cancer Therapeutics Unit, London, UK (GRID:grid.18886.3f) (ISNI:0000 0001 1271 4623)