Literature DB >> 24889915

Review of therapeutic drug monitoring of anticancer drugs part 1--cytotoxics.

Angelo Paci1, Gareth Veal2, Christophe Bardin3, Dominique Levêque4, Nicolas Widmer5, Jos Beijnen6, Alain Astier7, Etienne Chatelut8.   

Abstract

Most anticancer drugs are characterised by a steep dose-response relationship and narrow therapeutic window. Inter-individual pharmacokinetic (PK) variability is often substantial. The most relevant PK parameter for cytotoxic drugs is the area under the plasma concentration versus time curve (AUC). Thus it is somewhat surprising that therapeutic drug monitoring (TDM) is still uncommon for the majority of agents. Goals of the review were to assess the rationale for more widely used TDM of cytotoxics in oncology. There are several reasons why TDM has never been fully implemented into daily oncology practice. These include difficulties in establishing appropriate concentration target ranges, common use of combination chemotherapies for many tumour types, analytical challenges with prodrugs, intracellular compounds, the paucity of published data from pharmacological trials and 'Day1 = Day21' administration schedules. There are some specific situations for which these limitations are overcome, including high dose methotrexate, 5-fluorouracil infusion, mitotane and some high dose chemotherapy regimens. TDM in paediatric oncology represents an important challenge. Established TDM approaches includes the widely used anticancer agents carboplatin, busulfan and methotrexate, with 13-cis-retinoic acid also recently of interest. Considerable effort should be made to better define concentration-effect relationships and to utilise tools such as population PK/PD models and comparative randomised trials of classic dosing versus pharmacokinetically guided adaptive dosing. There is an important heterogeneity among clinical practices and a strong need to promote TDM guidelines among the oncological community.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  5-Fluorouracil; Busulfan; Chemotherapy; Cytotoxics; Methotrexate; Mitotane; Oncology; Paediatric oncology; Pharmacokinetics; Therapeutic drug monitoring

Mesh:

Substances:

Year:  2014        PMID: 24889915     DOI: 10.1016/j.ejca.2014.04.014

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  55 in total

1.  The impact of patient-, disease-, and treatment-related factors on survival in patients with adrenocortical carcinoma.

Authors:  Nahid Punjani; Roderick Clark; Jonathan Izawa; Joseph Chin; Stephen E Pautler; Nicholas Power
Journal:  Can Urol Assoc J       Date:  2017-12-22       Impact factor: 1.862

Review 2.  Gut microbiota modulation of chemotherapy efficacy and toxicity.

Authors:  James L Alexander; Ian D Wilson; Julian Teare; Julian R Marchesi; Jeremy K Nicholson; James M Kinross
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2017-03-08       Impact factor: 46.802

3.  TLR signaling modulates side effects of anticancer therapy in the small intestine.

Authors:  Magdalena Frank; Eva Maria Hennenberg; Annette Eyking; Michael Rünzi; Guido Gerken; Paul Scott; Julian Parkhill; Alan W Walker; Elke Cario
Journal:  J Immunol       Date:  2015-01-14       Impact factor: 5.422

Review 4.  Pharmacokinetics of metronomic chemotherapy: a neglected but crucial aspect.

Authors:  Guido Bocci; Robert S Kerbel
Journal:  Nat Rev Clin Oncol       Date:  2016-05-17       Impact factor: 66.675

Review 5.  Toward a Cancer Drug of Fungal Origin.

Authors:  Alexander Kornienko; Antonio Evidente; Maurizio Vurro; Véronique Mathieu; Alessio Cimmino; Marco Evidente; Willem A L van Otterlo; Ramesh Dasari; Florence Lefranc; Robert Kiss
Journal:  Med Res Rev       Date:  2015-04-08       Impact factor: 12.944

6.  Population pharmacokinetic and pharmacodynamic modeling of capecitabine and its metabolites in breast cancer patients.

Authors:  Nastja Lunar; Marie-Christine Etienne-Grimaldi; Pauline Macaire; Fabienne Thomas; Florence Dalenc; Jean-Marc Ferrero; Xavier Pivot; Gérard Milano; Bernard Royer; Antonin Schmitt
Journal:  Cancer Chemother Pharmacol       Date:  2021-01-02       Impact factor: 3.333

7.  The Population Pharmacokinetics of High-Dose Methotrexate in Infants with Acute Lymphoblastic Leukemia Highlight the Need for Bedside Individualized Dose Adjustment: A Report from the Children's Oncology Group.

Authors:  Ryan J Beechinor; Patrick A Thompson; Michael F Hwang; Ryan C Vargo; Lisa R Bomgaars; Jacqueline G Gerhart; ZoAnn E Dreyer; Daniel Gonzalez
Journal:  Clin Pharmacokinet       Date:  2019-07       Impact factor: 6.447

8.  Determinants of the interindividual variability in serum cytidine deaminase activity of patients with solid tumours.

Authors:  R Cohen; L H Preta; V Joste; E Curis; O Huillard; A Jouinot; C Narjoz; A Thomas-Schoemann; A Bellesoeur; M Tiako Meyo; J Quilichini; D Desaulle; I Nicolis; A Cessot; M Vidal; F Goldwasser; J Alexandre; B Blanchet
Journal:  Br J Clin Pharmacol       Date:  2019-01-30       Impact factor: 4.335

9.  Impact of the individualization of the first-line chemotherapy for advanced colorectal cancer based on collagen gel droplet-embedded drug sensitivity test.

Authors:  Takumi Ochiai; Kazuhiko Nishimura; Tomoo Watanabe; Masayuki Kitajima; Akinori Nakatani; Kiichi Nagayasu; Shigetoshi Naito; Tsuyoshi Sato; Kenji Kishine; Yu Abe; Chihiro Hara; Susumu Yamada; Satomi Mashiko; Isao Nagaoka
Journal:  Oncol Lett       Date:  2017-09-15       Impact factor: 2.967

Review 10.  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

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