PURPOSE: Letrozole is an orally active aromatase inhibitor for the treatment of breast cancer. The objectives of this study were to examine the pharmacokinetic profile of letrozole in Japanese subjects and to identify factors that influence variability in the pharmacokinetics of letrozole using population pharmacokinetic (PPK) analysis. METHODS: Twenty-five healthy postmenopausal Japanese women were enrolled in the study and received 2.5 mg letrozole once daily for 14 or 28 days. A PPK model was developed using NONMEM software. Age, body weight (WT), AST, ALT, total bilirubin, serum creatinine (CRE), and genotype of CYP2A6 were studied as covariates. Estrone, estrone sulfate, and estradiol in plasma were measured as pharmacodynamic markers. RESULTS: CYP2A6 genotype, CRE, and AST were significant covariates for apparent systemic clearance (CL/F), and WT was a significant covariate for apparent distribution volume (Vd/F). Population mean estimates of CL/F and Vd/F in subjects without CYP2A6 mutation were 1.03 × (CRE/0.70)(-1.27) × (AST/17.5)(-0.793) L/h and 94.2 × (WT/51.1)(1.12) L respectively. CL/F in subjects possessing 1 and 2 CYP2A6 mutation alleles were 84.3% and 44.8% of the value in the subjects without mutation respectively. Estrogen levels fell to below detection limits in most subjects after letrozole administration. Three mild and transient adverse events (upper respiratory tract inflammation, arthralgia, and vomiting) were reported in the study. CONCLUSIONS: CYP2A6 genotype largely influences CL/F of letrozole. Genetic polymorphism of CYP2A6 and body weight will be causes of ethnic difference in PK. However, dose adjustment is not necessary, because of the wide therapeutic range.
PURPOSE:Letrozole is an orally active aromatase inhibitor for the treatment of breast cancer. The objectives of this study were to examine the pharmacokinetic profile of letrozole in Japanese subjects and to identify factors that influence variability in the pharmacokinetics of letrozole using population pharmacokinetic (PPK) analysis. METHODS: Twenty-five healthy postmenopausal Japanese women were enrolled in the study and received 2.5 mg letrozole once daily for 14 or 28 days. A PPK model was developed using NONMEM software. Age, body weight (WT), AST, ALT, total bilirubin, serum creatinine (CRE), and genotype of CYP2A6 were studied as covariates. Estrone, estrone sulfate, and estradiol in plasma were measured as pharmacodynamic markers. RESULTS:CYP2A6 genotype, CRE, and AST were significant covariates for apparent systemic clearance (CL/F), and WT was a significant covariate for apparent distribution volume (Vd/F). Population mean estimates of CL/F and Vd/F in subjects without CYP2A6 mutation were 1.03 × (CRE/0.70)(-1.27) × (AST/17.5)(-0.793) L/h and 94.2 × (WT/51.1)(1.12) L respectively. CL/F in subjects possessing 1 and 2 CYP2A6 mutation alleles were 84.3% and 44.8% of the value in the subjects without mutation respectively. Estrogen levels fell to below detection limits in most subjects after letrozole administration. Three mild and transient adverse events (upper respiratory tract inflammation, arthralgia, and vomiting) were reported in the study. CONCLUSIONS:CYP2A6 genotype largely influences CL/F of letrozole. Genetic polymorphism of CYP2A6 and body weight will be causes of ethnic difference in PK. However, dose adjustment is not necessary, because of the wide therapeutic range.
Authors: C U Pfister; A Martoni; C Zamagni; G Lelli; F De Braud; C Souppart; M Duval; U Hornberger Journal: Biopharm Drug Dispos Date: 2001-07 Impact factor: 1.627
Authors: J M Dixon; C D Love; C O Bellamy; D A Cameron; R C Leonard; H Smith; W R Miller Journal: Breast Cancer Res Treat Date: 2001-04 Impact factor: 4.872
Authors: A Lipton; L M Demers; H A Harvey; K B Kambic; H Grossberg; C Brady; H Adlercruetz; P F Trunet; R J Santen Journal: Cancer Date: 1995-04-15 Impact factor: 6.860
Authors: Matt Nevilie; Rebecca Selzer; Brian Aizenstein; Megan Maguire; Kirk Hogan; Robert Walton; Ken Welsh; Bruce Neri; Monika de Arruda Journal: Biotechniques Date: 2002-06 Impact factor: 1.993
Authors: Ellen M McDonagh; Catherine Wassenaar; Sean P David; Rachel F Tyndale; Russ B Altman; Michelle Whirl-Carrillo; Teri E Klein Journal: Pharmacogenet Genomics Date: 2012-09 Impact factor: 2.089
Authors: Mark Piliguian; Andy Z X Zhu; Qian Zhou; Neal L Benowitz; Jasjit S Ahluwalia; Lisa Sanderson Cox; Rachel F Tyndale Journal: Pharmacogenet Genomics Date: 2014-02 Impact factor: 2.089
Authors: Anna Mueller-Schoell; Stefanie L Groenland; Oliver Scherf-Clavel; Madelé van Dyk; Wilhelm Huisinga; Robin Michelet; Ulrich Jaehde; Neeltje Steeghs; Alwin D R Huitema; Charlotte Kloft Journal: Eur J Clin Pharmacol Date: 2020-11-09 Impact factor: 2.953
Authors: E Kohva; T Varimo; H Huopio; S Tenhola; R Voutilainen; J Toppari; P J Miettinen; K Vaaralahti; J Viinamäki; J T Backman; M Hero; T Raivio Journal: Hum Reprod Date: 2020-02-29 Impact factor: 6.918