Literature DB >> 11021740

Population pharmacokinetics of pemetrexed disodium (ALIMTA) in patients with cancer.

D Ouellet1, A P Periclou, R D Johnson, J R Woodworth, R L Lalonde.   

Abstract

PURPOSE: To evaluate the population pharmacokinetics of pemetrexed disodium in cancer patients enrolled in four different open-label, multicenter, nonrandomized phase II studies.
METHODS: Pemetrexed disodium was administered as a 10-min intravenous infusion (600 mg/m2) every 21 days. A total of four blood samples were to be collected each cycle per patient (n= 103 patients) during cycles 1 and 3. Plasma concentration-time data were analyzed by nonlinear mixed-effect modeling using NONMEM to estimate pemetrexed disodium pharmacokinetic parameters (mean, and between- and within-patient variability) as well as relationships between the pharmacokinetic parameters and various patient-specific factors (demographic and physiologic data). RESULTS/
CONCLUSIONS: The pharmacokinetics of pemetrexed disodium were best characterized by a two-compartment model with initial distribution and terminal elimination half-lives of 0.63 h and 2.73 h, respectively. The typical value of systemic clearance (CL) in liters per hour included a relationship to creatinine clearance (CrCL) with a slope of 0.0292. Typical values of central volume (V(c)), distributional CL (Q), and peripheral volume (V(p)) were 11.3 1, 3.21 l/h, and 5.20 l, respectively. Between-patient variability was 19.6%, 15.6%, and 21.7% for CL, V(c), and V(p), respectively. A combined additive/proportional error model was used to describe residual variability, with a coefficient of variation of 23.7% for the proportional component and a standard deviation of 0.0410 microg/ml for the additive component. Significant patient-specific factors on CL were calculated CrCL, body weight, and to a lesser extent alanine transaminase and folate deficiency. Gender and body weight were significant factors on V(c) while both body surface area and albumin were significant factors on V(p). In conclusion, population pharmacokinetic modeling revealed relationships between pharmacokinetic parameters and various patient specific factors.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11021740     DOI: 10.1007/s002800000144

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.333


  6 in total

1.  Comparison of stepwise covariate model building strategies in population pharmacokinetic-pharmacodynamic analysis.

Authors:  Ulrika Wählby; E Niclas Jonsson; Mats O Karlsson
Journal:  AAPS PharmSci       Date:  2002

Review 2.  Pharmacokinetic Properties of Anticancer Agents for the Treatment of Central Nervous System Tumors: Update of the Literature.

Authors:  Megan O Jacus; Vinay M Daryani; K Elaine Harstead; Yogesh T Patel; Stacy L Throm; Clinton F Stewart
Journal:  Clin Pharmacokinet       Date:  2016-03       Impact factor: 6.447

Review 3.  Population pharmacokinetics and pharmacodynamics for treatment optimization in clinical oncology.

Authors:  Anthe S Zandvliet; Jan H M Schellens; Jos H Beijnen; Alwin D R Huitema
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

4.  Pemetrexed indirectly activates the metabolic kinase AMPK in human carcinomas.

Authors:  Scott B Rothbart; Alexandra C Racanelli; Richard G Moran
Journal:  Cancer Res       Date:  2010-12-15       Impact factor: 12.701

5.  A new ultrafast and high-throughput mass spectrometric approach for the therapeutic drug monitoring of the multi-targeted anti-folate pemetrexed in plasma from lung cancer patients.

Authors:  Roland J W Meesters; Robin Cornelissen; Rob J van Klaveren; Robert de Jonge; Ethan den Boer; Jan Lindemans; Theo M Luider
Journal:  Anal Bioanal Chem       Date:  2010-09-25       Impact factor: 4.142

6.  Tailoring treatment of nonsmall cell lung cancer by tissue type: role of pemetrexed.

Authors:  Steven F Powell; Arkadiusz Z Dudek
Journal:  Pharmgenomics Pers Med       Date:  2009-06-24
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.