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

Citation
D. Ouellet et al., Population pharmacokinetics of pemetrexed disodium (ALIMTA) in patients with cancer, CANC CHEMOT, 46(3), 2000, pp. 227-234
Citations number
11
Categorie Soggetti
Oncology,"Onconogenesis & Cancer Research
Journal title
CANCER CHEMOTHERAPY AND PHARMACOLOGY
ISSN journal
03445704 → ACNP
Volume
46
Issue
3
Year of publication
2000
Pages
227 - 234
Database
ISI
SICI code
0344-5704(200009)46:3<227:PPOPD(>2.0.ZU;2-#
Abstract
Purpose: To evaluate the population pharmacokinetics of pemetrexed disodium in cancer patients enrolled in four different open-label, multicenter, non randomized phase II studies. Methods: Pemetrexed disodium was administered as a 10-min intravenous infusion (600 mg/m(2)) every 21 days. A total of fo ur blood samples were to be collected each cycle per patient (n = 103 patie nts) during cycles 1 and 3. Plasma concentration-time data were analyzed by nonlinear mixed-effect modeling using NONMEM to estimate pemetrexed disodi um pharmacokinetic parameters (mean, and between- and within-patient variab ility) as well as relationships between the pharmacokinetic parameters and various patient-specific factors (demographic and physiologic data). Result s/Conclusions: The pharmacokinetics of pemetrexed disodium were best charac terized by a two-compartment model with initial distribution and terminal e limination 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 c reatinine clearance (CrCL) with a slope of 0.0292. Typical values of centra l volume (V-c), distributional CL (Q), and peripheral volume (V-p) were 11. 3 l, 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 additi ve/proportional error model was used to describe residual variability, with a coefficient of variation of 23.7% for the proportional component and a s tandard deviation of 0.0410 mu g/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 alb umin were significant factors on V-p. In conclusion, population pharmacokin etic modeling revealed relationships between pharmacokinetic parameters and various patient specific factors.