Literature DB >> 12889741

Pharmacokinetic-pharmacodynamic guided trial design in oncology.

Ch van Kesteren1, R A A Mathôt, J H Beijnen, J H M Schellens.   

Abstract

The application of pharmacokinetic (PK) and pharmacodynamic (PD) modeling in drug development has emerged during the past decades and it is has been suggested that the investigation of PK-PD relationships during drug development may facilitate and optimize the design of subsequent clinical development. Especially in oncology, well designed PK-PD modeling could be extremely useful as anticancer agents usually have a very narrow therapeutic index. This paper describes the application of the current insights in the use of PK-PD modeling to the design of clinical trials in oncology. The application of PK-PD modeling in each separate stage of (pre)clinical drug development of anticancer agents is discussed. The implementation of this approach is illustrated with the clinical development of docetaxel.

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Year:  2003        PMID: 12889741     DOI: 10.1023/a:1023577514605

Source DB:  PubMed          Journal:  Invest New Drugs        ISSN: 0167-6997            Impact factor:   3.850


  102 in total

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Authors:  E van der Wall; J H Beijnen; S Rodenhuis
Journal:  Cancer Treat Rev       Date:  1995-03       Impact factor: 12.111

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Journal:  AAPS J       Date:  2019-01-31       Impact factor: 4.009

2.  Pharmacodynamic model of interleukin-21 effects on red blood cells in cynomolgus monkeys.

Authors:  Rune V Overgaard; Mats Karlsson; Steen H Ingwersen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2007-05-22       Impact factor: 2.745

3.  An integrated disease/pharmacokinetic/pharmacodynamic model suggests improved interleukin-21 regimens validated prospectively for mouse solid cancers.

Authors:  Moran Elishmereni; Yuri Kheifetz; Henrik Søndergaard; Rune Viig Overgaard; Zvia Agur
Journal:  PLoS Comput Biol       Date:  2011-09-29       Impact factor: 4.475

4.  Optimal dynamic regimens with artificial intelligence: The case of temozolomide.

Authors:  Nicolas Houy; François Le Grand
Journal:  PLoS One       Date:  2018-06-26       Impact factor: 3.240

  4 in total

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