Literature DB >> 20833478

Moving towards dose individualization of tyrosine kinase inhibitors.

Heinz-Josef Klümpen1, Caroline F Samer, Ron H J Mathijssen, Jan H M Schellens, Howard Gurney.   

Abstract

Molecular targeted therapies with tyrosine kinase inhibitors (TKIs) have been a recent breakthrough in cancer treatment. These small molecules are mainly used at a fixed dose ignoring the possible need for dose individualization. Fixed dosing may indeed result in suboptimal treatment or excessive toxicity considering the high inter-individual variability in the pharmacokinetics (PK) of these therapies. The PK, toxicity and efficacy of ten commonly used molecular targeted anti-cancer therapies were reviewed in order to optimize their prescription. A wide interpatient variability in the pharmacokinetics of these small molecules is demonstrated. Moreover associations between certain toxicities and the treatment efficacy have also been demonstrated for some agents, such as erlotinib and skin rash, that may be used as a surrogate marker. Other biomarkers intended to substitute for a clinical endpoint have been described for some TKIs and may be useful for dose individualization. Promising alternatives to fixed dosing were explored such as therapeutic drug monitoring, genotype and phenotype adjusted dosing, and toxicity-adjusted dosing. Prospective studies are needed to validate these methods so that dosing algorithms may be developed in the near future in order to personalize therapeutics to the individual needs of each cancer patient.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20833478     DOI: 10.1016/j.ctrv.2010.08.006

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  30 in total

Review 1.  Can individualized sunitinib dose and schedule changes optimize outcomes for kidney cancer patients?

Authors:  Georg A Bjarnason
Journal:  Can Urol Assoc J       Date:  2016 Nov-Dec       Impact factor: 1.862

2.  Optimizing the dose in cancer patients treated with imatinib, sunitinib and pazopanib.

Authors:  Nienke A G Lankheet; Ingrid M E Desar; Sasja F Mulder; David M Burger; Dinemarie M Kweekel; Carla M L van Herpen; Winette T A van der Graaf; Nielka P van Erp
Journal:  Br J Clin Pharmacol       Date:  2017-07-04       Impact factor: 4.335

Review 3.  Oral anticancer drugs: mechanisms of low bioavailability and strategies for improvement.

Authors:  Frederik E Stuurman; Bastiaan Nuijen; Jos H Beijnen; Jan H M Schellens
Journal:  Clin Pharmacokinet       Date:  2013-06       Impact factor: 6.447

4.  Therapeutic drug monitoring of imatinib: Bayesian and alternative methods to predict trough levels.

Authors:  Verena Gotta; Nicolas Widmer; Michael Montemurro; Serge Leyvraz; Amina Haouala; Laurent A Decosterd; Chantal Csajka; Thierry Buclin
Journal:  Clin Pharmacokinet       Date:  2012-03-01       Impact factor: 6.447

Review 5.  Practical guidelines for therapeutic drug monitoring of anticancer tyrosine kinase inhibitors: focus on the pharmacokinetic targets.

Authors:  Huixin Yu; Neeltje Steeghs; Cynthia M Nijenhuis; Jan H M Schellens; Jos H Beijnen; Alwin D R Huitema
Journal:  Clin Pharmacokinet       Date:  2014-04       Impact factor: 6.447

Review 6.  Determining the optimal dose in the development of anticancer agents.

Authors:  Ron H J Mathijssen; Alex Sparreboom; Jaap Verweij
Journal:  Nat Rev Clin Oncol       Date:  2014-03-25       Impact factor: 66.675

7.  Therapeutic drug monitoring and tyrosine kinase inhibitors.

Authors:  Pauline Herviou; Emilie Thivat; Damien Richard; Lucie Roche; Joyce Dohou; Mélanie Pouget; Alain Eschalier; Xavier Durando; Nicolas Authier
Journal:  Oncol Lett       Date:  2016-06-24       Impact factor: 2.967

8.  Revisiting Dosing Regimen Using Pharmacokinetic/Pharmacodynamic Mathematical Modeling: Densification and Intensification of Combination Cancer Therapy.

Authors:  Christophe Meille; Dominique Barbolosi; Joseph Ciccolini; Gilles Freyer; Athanassios Iliadis
Journal:  Clin Pharmacokinet       Date:  2016-08       Impact factor: 6.447

Review 9.  Computational oncology--mathematical modelling of drug regimens for precision medicine.

Authors:  Dominique Barbolosi; Joseph Ciccolini; Bruno Lacarelle; Fabrice Barlési; Nicolas André
Journal:  Nat Rev Clin Oncol       Date:  2015-11-24       Impact factor: 66.675

Review 10.  Pharmacodynamic and Pharmacokinetic Markers For Anti-angiogenic Cancer Therapy: Implications for Dosing and Selection of Patients.

Authors:  Matteo Morotti; Prashanth Hari Dass; Adrian L Harris; Simon Lord
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-04       Impact factor: 2.441

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.