Literature DB >> 19723673

Population pharmacokinetic analysis of panitumumab in patients with advanced solid tumors.

Peiming Ma1, Bing-Bing Yang, Yow-Ming Wang, Mark Peterson, Adimoolam Narayanan, Liviawati Sutjandra, Rachelle Rodriguez, Andrew Chow.   

Abstract

Panitumumab is a fully human monoclonal antibody targeted to the extracellular domain of human epidermal growth factor receptor (EGFR). A comprehensive population pharmacokinetic model of panitumumab was developed using nonlinear mixed-effects modeling of 1200 patients with advanced solid tumors in 14 clinical studies. The disposition of panitumumab was best described with a 2-compartment model with parallel linear and nonlinear (Michaelis-Menten) elimination pathways. For a typical male patient with colorectal cancer (80 kg, 60 years old), the estimates for the linear clearance (CL), the maximum nonlinear clearance (V(max)/K(m)), the central volume of distribution (V(1)), the peripheral volume of distribution (V(2)), and the Michaelis-Menten constant (K(m)) are 0.273 L/d, 28.4 L/d, 3.95 L, 2.59 L, and 0.426 mcg/mL, respectively. Baseline covariates such as body weight, cancer type, age, sex, and race were studied for their influence on panitumumab pharmacokinetics. Body weight was found to be the most influential covariate on panitumumab exposure, affecting CL, V(max), and V(1). The administration of concomitant chemotherapy (IFL, FOLFIRI, or paclitaxel/carboplatin) or intensity of baseline tumor EGFR expression did not alter the pharmacokinetics of panitumumab. The presence of antipanitumumab antibodies in patients (immunogenicity rate 3.4%) did not appear to affect panitumumab exposure substantially (AUC difference 8%). In support of a new drug application in Japan, the model was used to assess panitumumab pharmacokinetics in Japanese patients compared to other racial groups; there were no significant differences in model-predicted steady-state panitumumab AUC, C(max), or C(min) after accounting for the effect of body weight.

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Year:  2009        PMID: 19723673     DOI: 10.1177/0091270009344989

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  36 in total

Review 1.  Pharmacokinetic and pharmacodynamic perspectives on the clinical drug development of panitumumab.

Authors:  Bing-Bing Yang; Peggy Lum; Alin Chen; Rosalin Arends; Lorin Roskos; Brian Smith; Juan José Pérez Ruixo
Journal:  Clin Pharmacokinet       Date:  2010-11       Impact factor: 6.447

2.  A guide to rational dosing of monoclonal antibodies.

Authors:  Shuang Bai; Karin Jorga; Yan Xin; Denise Jin; Yanan Zheng; Lisa A Damico-Beyer; Manish Gupta; Meina Tang; David E Allison; Dan Lu; Yi Zhang; Amita Joshi; Mark J Dresser
Journal:  Clin Pharmacokinet       Date:  2012-02-01       Impact factor: 6.447

Review 3.  Population pharmacokinetics of therapeutic monoclonal antibodies.

Authors:  Nathanael L Dirks; Bernd Meibohm
Journal:  Clin Pharmacokinet       Date:  2010-10       Impact factor: 6.447

Review 4.  Application of quantitative pharmacology in development of therapeutic monoclonal antibodies.

Authors:  Mohammad Tabrizi; Cherryl Funelas; Hamza Suria
Journal:  AAPS J       Date:  2010-07-24       Impact factor: 4.009

5.  The escalating role of epidermal growth factor receptor inhibitors in cancer management: clinical considerations for the health system pharmacist.

Authors:  Dwight D Kloth; Lew Iacovelli; Rebecca Arbuckle; Angela C McIntosh
Journal:  P T       Date:  2010-04

Review 6.  Clinical pharmacokinetics of therapeutic monoclonal antibodies.

Authors:  Ron J Keizer; Alwin D R Huitema; Jan H M Schellens; Jos H Beijnen
Journal:  Clin Pharmacokinet       Date:  2010-08       Impact factor: 6.447

7.  Evaluation of covariate effects on pharmacokinetics of monoclonal antibodies in oncology.

Authors:  Gaurav Bajaj; Satyendra Suryawanshi; Amit Roy; Manish Gupta
Journal:  Br J Clin Pharmacol       Date:  2019-07-17       Impact factor: 4.335

Review 8.  Pharmacokinetics, pharmacodynamics and physiologically-based pharmacokinetic modelling of monoclonal antibodies.

Authors:  Miroslav Dostalek; Iain Gardner; Brian M Gurbaxani; Rachel H Rose; Manoranjenni Chetty
Journal:  Clin Pharmacokinet       Date:  2013-02       Impact factor: 6.447

Review 9.  Panitumumab: a review of its use in metastatic colorectal cancer.

Authors:  Gillian M Keating
Journal:  Drugs       Date:  2010-05-28       Impact factor: 9.546

Review 10.  A white paper--consensus and recommendations of a global harmonization team on assessing the impact of immunogenicity on pharmacokinetic measurements.

Authors:  J M Sailstad; L Amaravadi; A Clements-Egan; B Gorovits; H A Myler; R C Pillutla; S Pursuhothama; M Putman; M K Rose; K Sonehara; L Tang; J T Wustner
Journal:  AAPS J       Date:  2014-03-29       Impact factor: 4.009

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