Literature DB >> 9878990

Practical treatment guide for dose individualisation in cancer chemotherapy.

P Canal1, E Chatelut, S Guichard.   

Abstract

Dosages of anticancer drugs are usually calculated on the basis of a uniform standard, the body surface area (BSA). Although many physiological functions are proportionate to BSA, overall drug clearance is only partially related to this parameter. Consequently, following administration of equivalent drug dosages based on BSA, a wide variability in plasma drug concentrations can be found between patients, as a result of which some patients experience little toxicity while others may show severe toxic symptoms. A clear pharmacokinetic/pharmacodynamic correlation has been demonstrated for some anticancer drugs, and this relationship provides a background against which rational dose optimisation can be implemented for individual patients. The 3 strategies that can be employed for optimising dosage regimens, none based on BSA, are described and criticised. A priori adaptive dosage determination is based on the relative contribution of identifiable characteristics of patient, drug therapy and disease state that influence plasma drug concentrations; the dosage regimen is based on each patient's profile with regard to these characteristics. Although this approach is most successful with drugs whose clearance is closely tied to renal function, patient characteristics such age, obesity, serum albumin or hepatic function may be useful. The anticancer drug most closely identified with this approach is carboplatin, although dosage reduction strategies for etoposide, taxanes, anthracyclines, topotecan, oxazaphosphorines, vinca alkaloids or melphalan are advocated for patients with renal or hepatic dysfunction. The importance of pharmacogenetics for fluorouracil and mercaptopurine is also briefly discussed. The second approach consists of adaptive dosage adjustments during repetitive or continuous administration of a drug. It has been used for several years to administer methotrexate therapy and, more recently, it has been developed more fully and applied to continuous infusion of fluorouracil or etoposide. It was based, after determination of a target plasma concentration or area under the plasma drug concentration-time curve (AUC), on modification of the drug dosage during the cycle of chemotherapy or for the next cycle. Finally, the third approach of adaptive dosage adjustment with feedback control, based on population pharmacokinetics, with limited sampling strategy, may allow a feedback revision of the dosage following measurement of plasma drug concentration and comparison with the population previously studied. This approach is a theoretical strategy which has not, until now, been used prospectively in clinical oncology. For drugs such as anticancer agents with a very narrow therapeutic index, every effort should be made to minimise interpatient variability in drug exposure in order to maximise the benefit while keeping the risk of serious adverse effects at an acceptable level. This is particularly important when treatment is being given with curative intent.

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Year:  1998        PMID: 9878990     DOI: 10.2165/00003495-199856060-00006

Source DB:  PubMed          Journal:  Drugs        ISSN: 0012-6667            Impact factor:   9.546


  210 in total

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Review 2.  Clinical pharmacology of cancer chemotherapy in children.

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Journal:  Pediatr Clin North Am       Date:  1989-10       Impact factor: 3.278

3.  Effect of body weight on the pharmacokinetics of cyclophosphamide in breast cancer patients.

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Journal:  Cancer Chemother Pharmacol       Date:  1987       Impact factor: 3.333

4.  Nonlinear pharmacokinetics of cyclophosphamide and 4-hydroxycyclophosphamide/aldophosphamide in patients with metastatic breast cancer receiving high-dose chemotherapy followed by autologous bone marrow transplantation.

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Journal:  Drug Metab Dispos       Date:  1997-05       Impact factor: 3.922

5.  Phase I/II and pharmacologic study of long-term continuous infusion etoposide combined with cisplatin in patients with advanced non-small-cell lung cancer.

Authors:  H Kunitoh; K Watanabe
Journal:  J Clin Oncol       Date:  1994-01       Impact factor: 44.544

6.  The pharmacokinetics of vincristine in man: reduced drug clearance associated with raised serum alkaline phosphatase and dose-limited elimination.

Authors:  H W Van den Berg; Z R Desai; R Wilson; G Kennedy; J M Bridges; R G Shanks
Journal:  Cancer Chemother Pharmacol       Date:  1982       Impact factor: 3.333

7.  Predicting etoposide toxicity: relationship to organ function and protein binding.

Authors:  S P Joel; R Shah; P I Clark; M L Slevin
Journal:  J Clin Oncol       Date:  1996-01       Impact factor: 44.544

8.  Human polymorphism in drug metabolism: mutation in the dihydropyrimidine dehydrogenase gene results in exon skipping and thymine uracilurea.

Authors:  R Meinsma; P Fernandez-Salguero; A B Van Kuilenburg; A H Van Gennip; F J Gonzalez
Journal:  DNA Cell Biol       Date:  1995-01       Impact factor: 3.311

9.  Busulfan pharmacokinetics using a single daily high-dose regimen in children with acute leukemia.

Authors:  P J Shaw; C E Scharping; R J Brian; J W Earl
Journal:  Blood       Date:  1994-10-01       Impact factor: 22.113

10.  Mercaptopurine metabolism and risk of relapse in childhood lymphoblastic leukaemia.

Authors:  J S Lilleyman; L Lennard
Journal:  Lancet       Date:  1994-05-14       Impact factor: 79.321

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  19 in total

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Review 2.  [Oncologic pharmacotherapy of elderly patients].

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Review 3.  Individualised cancer chemotherapy: strategies and performance of prospective studies on therapeutic drug monitoring with dose adaptation: a review.

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4.  Comparison of algorithms for oral busulphan area under the concentration-time curve limited sampling estimate.

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Review 5.  Adaptive control methods for the dose individualisation of anticancer agents.

Authors:  A Rousseau; P Marquet; J Debord; C Sabot; G Lachâtre
Journal:  Clin Pharmacokinet       Date:  2000-04       Impact factor: 6.447

Review 6.  Risk factors determining chemotherapeutic toxicity in patients with advanced colorectal cancer.

Authors:  F G Jansman; D T Sleijfer; J L Coenen; J C De Graaf; J R Brouwers
Journal:  Drug Saf       Date:  2000-10       Impact factor: 5.606

7.  Multi-objective optimal chemotherapy control model for cancer treatment.

Authors:  S Algoul; M S Alam; M A Hossain; M A A Majumder
Journal:  Med Biol Eng Comput       Date:  2010-10-01       Impact factor: 2.602

Review 8.  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 9.  Toxicity patterns of cytotoxic drugs.

Authors:  Etienne Chatelut; Jean-Pierre Delord; Pierre Canal
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

Review 10.  Pharmacokinetic-pharmacodynamic relationships of the anthracycline anticancer drugs.

Authors:  Romano Danesi; Stefano Fogli; Alessandra Gennari; Pierfranco Conte; Mario Del Tacca
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