Literature DB >> 8823340

Dose calculation of anticancer drugs: a review of the current practice and introduction of an alternative.

H Gurney1.   

Abstract

PURPOSE: To review the current dose-calculation practice and propose a non-body-surface area (BSA)-based dose-calculation method.
METHODS: Data that supported the introduction of BSA-based dose calculation in the late 1950s were reviewed. Data on 18 drugs that correlated pharmacokinetic (PK) variables for cytotoxic drugs with BSA were examined. Other methods of dose calculation, such as therapeutic drug monitoring (TDM) and adaptive control, were also examined.
RESULTS: The BSA-based method of dose calculation was adopted without adequate investigation of its accuracy. BSA fails to standardize the marked interpatient variation in PK for most cytotoxic drugs. A definite correlation was found between PK variables and BSA for only one drug (docetaxel). PK parameters correlate with toxicity, as well as response in some tumors, but do not completely explain the variation in drug effect between individuals. The complexities of TDM may make its universal use impractical. A non-BSA-based dose calculation method is proposed that defines three mandatory steps: prime dose, modified dose, and toxicity-adjusted dose (PMT dosing). Prime dose is the fixed dose of a drug used alone or in combination and is derived from the reanalysis of phase I/II studies and from clinical practice. Modified dose is an adjustment of the prime dose before administration, based on dose-adjustment guidelines that predict the drug-handling ability of an individual. Population pharmacodynamic studies may be used for the development of these guidelines. Subsequent doses are adjusted in each patient according to a target toxicity, such as nadir neutrophil count or other objective toxicity, that serves as a surrogate marker for potential antitumor effect (toxicity-adjusted dose). Patients who are predicted to have very abnormal drug handling should be excluded from such a dosing scheme and TDM may be more suitable.
CONCLUSION: The routine use of BSA for dose calculation should be reevaluated. Other methods of dose calculation should be investigated. TDM may be impractical in all patients and remains unvalidated. PMT dosing ensures that the condition of each individual is considered, to predict drug effects better. Clinical dose-calculation systems such as PMT dosing should be evaluated prospectively.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8823340     DOI: 10.1200/JCO.1996.14.9.2590

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  79 in total

Review 1.  Pharmacokinetically guided administration of chemotherapeutic agents.

Authors:  H J van den Bongard; R A Mathôt; J H Beijnen; J H Schellens
Journal:  Clin Pharmacokinet       Date:  2000-11       Impact factor: 6.447

Review 2.  Body surface area as a determinant of pharmacokinetics and drug dosing.

Authors:  M Sawyer; M J Ratain
Journal:  Invest New Drugs       Date:  2001-05       Impact factor: 3.850

Review 3.  Pharmacology of anticancer drugs in the elderly population.

Authors:  Hans Wildiers; Martin S Highley; Ernst A de Bruijn; Allan T van Oosterom
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

4.  A guide to rational dosing of monoclonal antibodies.

Authors:  Shuang Bai; Karin Jorga; Yan Xin; Denise Jin; Yanan Zheng; Lisa A Damico-Beyer; Manish Gupta; Meina Tang; David E Allison; Dan Lu; Yi Zhang; Amita Joshi; Mark J Dresser
Journal:  Clin Pharmacokinet       Date:  2012-02-01       Impact factor: 6.447

5.  Tackling the problems of tumour chemotherapy by optimal drug scheduling.

Authors:  Ambili Remesh
Journal:  J Clin Diagn Res       Date:  2013-05-31

Review 6.  Individualised cancer chemotherapy: strategies and performance of prospective studies on therapeutic drug monitoring with dose adaptation: a review.

Authors:  Milly E de Jonge; Alwin D R Huitema; Jan H M Schellens; Sjoerd Rodenhuis; Jos H Beijnen
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

Review 7.  Modelling and simulation in the development and use of anti-cancer agents: an underused tool?

Authors:  Ferdinand Rombout; Leon Aarons; Mats Karlsson; Anthony Man; France Mentré; Peter Nygren; Amy Racine; Hans Schaefer; Jean-Louis Steimer; Iñaki Troconiz; Achiel van Peer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-12       Impact factor: 2.745

Review 8.  Mass balance studies, with a focus on anticancer drugs.

Authors:  Jan H Beumer; Jos H Beijnen; Jan H M Schellens
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 9.  Pharmacogenomic progress in individualized dosing of key drugs for cancer patients.

Authors:  Christine M Walko; Howard McLeod
Journal:  Nat Clin Pract Oncol       Date:  2009-01-27

10.  Factors affecting the pharmacokinetic profile of MS-275, a novel histone deacetylase inhibitor, in patients with cancer.

Authors:  Milin R Acharya; Judith E Karp; Edward A Sausville; Kyunghwa Hwang; Qin Ryan; Ivana Gojo; Jurgen Venitz; William D Figg; Alex Sparreboom
Journal:  Invest New Drugs       Date:  2006-09       Impact factor: 3.850

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.