Literature DB >> 17265742

Assessing and managing toxicities induced by kinase inhibitors.

Raffaella E Castoldi1, Giulia Pennella, Grazia S Saturno, Pietro Grossi, Marco Brughera, Miro Venturi.   

Abstract

Currently, several protein kinase-modulating compounds have received market approval across a range of diverse therapeutic indications. Furthermore, a large number of chemical and biological protein kinase-modulating compounds are undergoing testing at the preclinical and clinical level. Protein kinases are both major pharmacological targets and diagnostically useful. Progression of kinase modulators toward clinically viable therapies is aided by a reversible mechanism of action, short treatment durations and patient-compliant administration routes. However, the physiological role and essential functional activity of protein kinases in many organs and tissues complicates, to different extents, the development of useful, highly potent protein kinase modulators. In this review, we will highlight common problems in the development of these compounds and lessons learned from the extensive preclinical and clinical characterization of some key protein kinase modulators, some of which have either entered and successfully completed clinical trials or have been abandoned as a consequence of unacceptable toxicity issues. We will ultimately explore how molecular profiling tools combined with histopathological endpoints can be adopted to address and further understand these toxicities in humans and understand their relevance and characterization when identified during early animal experiments.

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Year:  2007        PMID: 17265742

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  3 in total

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Authors:  Eric M Vela; Gavin C Bowick; Norbert K Herzog; Judith F Aronson
Journal:  Future Virol       Date:  2008       Impact factor: 1.831

2.  A Flexible Workflow for Automated Bioluminescent Kinase Selectivity Profiling.

Authors:  Tracy Worzella; Matt Butzler; Jacquelyn Hennek; Seth Hanson; Laura Simdon; Said Goueli; Cris Cowan; Hicham Zegzouti
Journal:  SLAS Technol       Date:  2016-11-15       Impact factor: 3.047

3.  Prediction of specificity-determining residues for small-molecule kinase inhibitors.

Authors:  Daniel R Caffrey; Elizabeth A Lunney; Deborah J Moshinsky
Journal:  BMC Bioinformatics       Date:  2008-11-25       Impact factor: 3.169

  3 in total

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