Literature DB >> 25980322

Inter-patient variability in docetaxel pharmacokinetics: A review.

Annemieke J M Nieuweboer1, Ellen S de Morrée2, Anne-Joy M de Graan3, Alex Sparreboom4, Ronald de Wit3, Ron H J Mathijssen3.   

Abstract

Docetaxel is a frequently used chemotherapeutic agent in the treatment of solid cancers. Because of the large inter-individual variability (IIV) in the pharmacokinetics (PK) of docetaxel, it is challenging to determine the optimal dose in individual patients in order to achieve optimal efficacy and acceptable toxicity. Despite the established correlation between systemic docetaxel exposure and efficacy, the precise factors influencing docetaxel PK are not yet completely understood. This review article highlights currently known factors that influence docetaxel PK, and focusses on those that are clinically relevant. For example, liver impairment should be taken into account when calculating docetaxel dosages as this may decrease docetaxel clearance. In addition, drug-drug interactions may be of distinct clinical importance when using docetaxel. Particularly, drugs strongly inhibiting CYP3A4 such as ketoconazole should not be concurrently administered without dose modification, as they may decrease the clearance of docetaxel. Gender, castration status, and menopausal status might be of importance as potential factors influencing docetaxel PK. The role of pharmacogenetics in predicting docetaxel PK is still limited, since no polymorphisms of clinical importance have yet been established.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Docetaxel; Drug-transporters; Drug–drug interactions; Environmental factors; Patient factors; Pharmacokinetics

Mesh:

Substances:

Year:  2015        PMID: 25980322     DOI: 10.1016/j.ctrv.2015.04.012

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


  15 in total

1.  Significant effect of age on docetaxel pharmacokinetics in Japanese female breast cancer patients by using the population modeling approach.

Authors:  Haruka Onoue; Ikuko Yano; Atsuko Tanaka; Kotaro Itohara; Akiko Hanai; Hiroshi Ishiguro; Hideyuki Motohashi; Satohiro Masuda; Kazuo Matsubara
Journal:  Eur J Clin Pharmacol       Date:  2016-02-23       Impact factor: 2.953

2.  Score of liver ultrasonography predicts treatment-related severe neutropenia and neutropenic fever in induction chemotherapy with docetaxel for locally advanced head and neck cancer patients with normal serum transamines.

Authors:  Ting-Yao Wang; Wei-Ming Chen; Lan-Yan Yang; Chao-Yu Chen; Wen-Chi Chou; Yi-Yang Chen; Chih-Cheng Chen; Kuan-Der Lee; Chang-Hsien Lu
Journal:  Support Care Cancer       Date:  2016-06-21       Impact factor: 3.603

3.  Pharmacokinetics of docetaxel and ritonavir after oral administration of ModraDoc006/r in patients with prostate cancer versus patients with other advanced solid tumours.

Authors:  Marit A C Vermunt; Lisa T van der Heijden; Jeroen J M A Hendrikx; Alfred H Schinkel; Vincent A de Weger; Eric van der Putten; Baukelien van Triest; Andries M Bergman; Jos H Beijnen
Journal:  Cancer Chemother Pharmacol       Date:  2021-03-20       Impact factor: 3.333

4.  4β-hydroxycholesterol as an endogenous CYP3A marker in cancer patients treated with taxanes.

Authors:  Anne-Joy M de Graan; Alex Sparreboom; Peter de Bruijn; Evert de Jonge; Bronno van der Holt; Erik A C Wiemer; Jaap Verweij; Ron H J Mathijssen; Ron H N van Schaik
Journal:  Br J Clin Pharmacol       Date:  2015-08-12       Impact factor: 4.335

5.  Docetaxel population pharmacokinetic modelling and simulation in Chinese cancer patients.

Authors:  Jian Wei; Yuwen Zhang; Ze Li; Xingang Li; Chenglong Zhao
Journal:  Ann Transl Med       Date:  2022-06

6.  Role of genetic variation in docetaxel-induced neutropenia and pharmacokinetics.

Authors:  A J M Nieuweboer; M Smid; A-J M de Graan; S Elbouazzaoui; P de Bruijn; F A L M Eskens; P Hamberg; J W M Martens; A Sparreboom; R de Wit; R H N van Schaik; R H J Mathijssen
Journal:  Pharmacogenomics J       Date:  2015-09-08       Impact factor: 3.550

Review 7.  The novel strategies for next-generation cancer treatment: miRNA combined with chemotherapeutic agents for the treatment of cancer.

Authors:  Chiranjib Chakraborty; Ashish Ranjan Sharma; Garima Sharma; Bimal Kumar Sarkar; Sang-Soo Lee
Journal:  Oncotarget       Date:  2018-01-23

Review 8.  The Combination of Cell Cultured Technology and In Silico Model to Inform the Drug Development.

Authors:  Zhengying Zhou; Jinwei Zhu; Muhan Jiang; Lan Sang; Kun Hao; Hua He
Journal:  Pharmaceutics       Date:  2021-05-12       Impact factor: 6.321

9.  Priming the body to receive the therapeutic agent to redefine treatment benefit/risk profile.

Authors:  Matthieu Germain; Marie-Edith Meyre; Laurence Poul; Marion Paolini; Céline Berjaud; Francis Mpambani; Maxime Bergere; Laurent Levy; Agnès Pottier
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

10.  ADME gene polymorphisms do not influence the pharmacokinetics of docetaxel: Results from a population pharmacokinetic study in Indian cancer patients.

Authors:  Anand Patil; Bharati Shriyan; Parsshava Mehta; Mrudula Patil; Murari Gurjar; Manjunath Nookala; Vijay Patil; Amit Joshi; Vanita Noronha; Kumar Prabhash; Vikram Gota
Journal:  Cancer Med       Date:  2021-06-22       Impact factor: 4.452

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