Literature DB >> 2208152

Prospective evaluation of a model for predicting etoposide plasma protein binding in cancer patients.

C F Stewart1, R A Fleming, S G Arbuck, W E Evans.   

Abstract

Etoposide protein binding in cancer patients is variable and has been related mathematically to a linear model consisting of serum albumin and total bilirubin [percentage unbound = (1.4 x total bilirubin) - (6.8 x albumin) + 34.4]. In this prospective evaluation of the model, plasma samples were obtained following the administration of etoposide in 31 patients, and the unbound percentage (% unbound) of etoposide in plasma was determined by equilibrium dialysis. The mean measured % unbound was 15.3 +/- 11.6 (SD), and the mean model predicted % unbound was 16.7 +/- 10.1. The relation between predicted and measured etoposide % unbound was highly correlated (r2 = 0.92, P = 0.001). The model was precise but with a slight bias toward overpredicting % unbound (mean prediction error, 1.36%; 95% confidence interval, 0.09 to 2.6%). In patients with abnormal total bilirubin (i.e., greater than 1.5 mg/dl) or with hypoalbuminemia (i.e., less than 3.3 g/dl), the model was both precise and unbiased. These results demonstrate that etoposide % unbound can be predicted using serum albumin and total bilirubin. This model should be useful in prospectively identifying patients at increased risk of experiencing altered pharmacological effects due to altered protein binding of etoposide.

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Year:  1990        PMID: 2208152

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  9 in total

Review 1.  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

Review 2.  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

3.  Etoposide protein binding in cancer patients.

Authors:  B Liu; H M Earl; C J Poole; J Dunn; D J Kerr
Journal:  Cancer Chemother Pharmacol       Date:  1995       Impact factor: 3.333

Review 4.  Pharmacokinetic optimisation of treatment with oral etoposide.

Authors:  Giuseppe Toffoli; Giuseppe Corona; Barbara Basso; Mauro Boiocchi
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

Review 5.  Practical treatment guide for dose individualisation in cancer chemotherapy.

Authors:  P Canal; E Chatelut; S Guichard
Journal:  Drugs       Date:  1998-12       Impact factor: 9.546

Review 6.  Use of etoposide in patients with organ dysfunction: pharmacokinetic and pharmacodynamic considerations.

Authors:  C F Stewart
Journal:  Cancer Chemother Pharmacol       Date:  1994       Impact factor: 3.333

Review 7.  Pharmacodynamics and long-term toxicity of etoposide.

Authors:  K Kobayashi; M J Ratain
Journal:  Cancer Chemother Pharmacol       Date:  1994       Impact factor: 3.333

8.  Electrochemical detection of anti-breast-cancer agents in human serum by cytochrome P450-coated carbon nanotubes.

Authors:  Camilla Baj-Rossi; Giovanni De Micheli; Sandro Carrara
Journal:  Sensors (Basel)       Date:  2012-05-18       Impact factor: 3.576

9.  Randomized comparison of etoposide pharmacokinetics after oral etoposide phosphate and oral etoposide.

Authors:  R S de Jong; N H Mulder; D R Uges; S Kaul; B Winograd; H J Groen; P H Willemse; W T van der Graaf; E G de Vries
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

  9 in total

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