Literature DB >> 25261632

Is target validation all we need?

Melanie M Frigault1, J Carl Barrett2.   

Abstract

Targeted therapy for cancer treatment has required a shift in drug development approaches from broad treatment with chemotherapies, to the development of precision medicines that are specific for clinical targets. Cancer biology is widely studied and translating these findings into efficacious targeted therapies requires more than just target validation. Targets identified pre-clinically must be reproducible in other models that harbor the target. In addition, the extent and duration with which the target is modulated is at times essential for efficacy. Further, not only the target is of focus but also any inherent feedback mechanisms or mechanisms of acquired resistance should be understood to optimize chemistry of agents in development to target the tumor biology and to inform on combination approaches. Another element of a target that will likely contribute to successful clinical validation include the impact of target intra-tumor and inter-tumor heterogeneity on clinical efficacy. Taken together, to answer the question Is target validation all we need? We highlight a few elements of tumor biology and drug chemistry that if understood, may increase the successful clinical validation of new targets and therefore provide more targeted treatment options for this disease.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25261632     DOI: 10.1016/j.coph.2014.09.004

Source DB:  PubMed          Journal:  Curr Opin Pharmacol        ISSN: 1471-4892            Impact factor:   5.547


  3 in total

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Authors:  Rachel J Harding; Yu-Feng Tong
Journal:  Acta Pharmacol Sin       Date:  2018-04-05       Impact factor: 6.150

Review 2.  Rethinking drug design in the artificial intelligence era.

Authors:  Petra Schneider; W Patrick Walters; Alleyn T Plowright; Norman Sieroka; Jennifer Listgarten; Robert A Goodnow; Jasmin Fisher; Johanna M Jansen; José S Duca; Thomas S Rush; Matthias Zentgraf; John Edward Hill; Elizabeth Krutoholow; Matthias Kohler; Jeff Blaney; Kimito Funatsu; Chris Luebkemann; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2019-12-04       Impact factor: 84.694

Review 3.  Improving target assessment in biomedical research: the GOT-IT recommendations.

Authors:  Christoph H Emmerich; Lorena Martinez Gamboa; Martine C J Hofmann; Marc Bonin-Andresen; Olga Arbach; Pascal Schendel; Björn Gerlach; Katja Hempel; Anton Bespalov; Ulrich Dirnagl; Michael J Parnham
Journal:  Nat Rev Drug Discov       Date:  2020-11-16       Impact factor: 112.288

  3 in total

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