Literature DB >> 31679083

Population pharmacokinetics and covariate analysis of Sym004, an antibody mixture against the epidermal growth factor receptor, in subjects with metastatic colorectal cancer and other solid tumors.

Lene Alifrangis1, Rik Schoemaker2, Niels J Skartved1, Rikke Hald1, Clara Montagut3, Scott Kopetz4, Josep Tabernero5, Michael Kragh1, Janet R Wade6.   

Abstract

Sym004 is an equimolar mixture of two monoclonal antibodies, futuximab and modotuximab, which non-competitively block the epidermal growth factor receptor (EGFR). Sym004 has been clinically tested for treatment of solid tumors. The present work characterizes the non-linear pharmacokinetics (PK) of Sym004 and its constituent antibodies and investigates two types of covariate models for interpreting the interindividual variability of Sym004 exposure. Sym004 serum concentration data from 330 cancer patients participating in four Phase 1 and 2 trials (n = 247 metastatic colorectal cancer, n = 87 various types advanced solid tumors) were pooled for non-linear mixed effects modeling. Dose regimens of 0.4-18 mg/kg Sym004 dosed by i.v. infusion weekly or every 2nd week were explored. The PK profiles for futuximab and modotuximab were parallel, and the parameter values for their population PK models were similar. The PK of Sym004 using the sum of the serum concentrations of futuximab and modotuximab was well captured by a 2-compartment model with parallel linear and saturable, Michaelis-Menten-type elimination. The full covariate model including all plausible covariates included in a single step showed no impact on Sym004 exposure of age, Asian race, renal and hepatic function, tumor type and previous anti-EGFR treatments. The reduced covariate model contained statistically and potentially clinically significant influences of body weight, albumin, sex and baseline tumor size. Population PK modeling and covariate analysis of Sym004 were feasible using the sum of the serum concentrations of the two constituent antibodies. Full and reduced covariate models provided insights into which covariates may be clinically relevant for dose modifications and thus may need further exploration.

Entities:  

Keywords:  Cancer; Covariate analysis; EGFR; Monoclonal antibody mixture; Population pharmacokinetics; Target-mediated drug disposition

Mesh:

Substances:

Year:  2019        PMID: 31679083     DOI: 10.1007/s10928-019-09663-2

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  34 in total

1.  Approximations of the target-mediated drug disposition model and identifiability of model parameters.

Authors:  Leonid Gibiansky; Ekaterina Gibiansky; Tarundeep Kakkar; Peiming Ma
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-11-13       Impact factor: 2.745

2.  Full covariate modelling approach in population pharmacokinetics: understanding the underlying hypothesis tests and implications of multiplicity.

Authors:  Xu Steven Xu; Min Yuan; Hao Zhu; Yaning Yang; Hui Wang; Honghui Zhou; Jinfeng Xu; Liping Zhang; Jose Pinheiro
Journal:  Br J Clin Pharmacol       Date:  2018-05-03       Impact factor: 4.335

3.  HELOISE: Phase IIIb Randomized Multicenter Study Comparing Standard-of-Care and Higher-Dose Trastuzumab Regimens Combined With Chemotherapy as First-Line Therapy in Patients With Human Epidermal Growth Factor Receptor 2-Positive Metastatic Gastric or Gastroesophageal Junction Adenocarcinoma.

Authors:  Manish A Shah; Rui-Hua Xu; Yung-Jue Bang; Paulo M Hoff; Tianshu Liu; Luis A Herráez-Baranda; Fan Xia; Amit Garg; Mona Shing; Josep Tabernero
Journal:  J Clin Oncol       Date:  2017-06-02       Impact factor: 44.544

4.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

5.  Methods of solving rapid binding target-mediated drug disposition model for two drugs competing for the same receptor.

Authors:  Xiaoyu Yan; Yang Chen; Wojciech Krzyzanski
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-08-29       Impact factor: 2.745

6.  Sym004: a novel synergistic anti-epidermal growth factor receptor antibody mixture with superior anticancer efficacy.

Authors:  Mikkel Wandahl Pedersen; Helle Jane Jacobsen; Klaus Koefoed; Adam Hey; Charles Pyke; John Sørensen Haurum; Michael Kragh
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 12.701

7.  Physiologically-based pharmacokinetic modeling to predict the clinical pharmacokinetics of monoclonal antibodies.

Authors:  Patrick M Glassman; Joseph P Balthasar
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-07-04       Impact factor: 2.745

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

Authors:  Peiming Ma; Bing-Bing Yang; Yow-Ming Wang; Mark Peterson; Adimoolam Narayanan; Liviawati Sutjandra; Rachelle Rodriguez; Andrew Chow
Journal:  J Clin Pharmacol       Date:  2009-09-01       Impact factor: 3.126

9.  A Tutorial on RxODE: Simulating Differential Equation Pharmacometric Models in R.

Authors:  W Wang; K M Hallow; D A James
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-12-19

10.  An automated sampling importance resampling procedure for estimating parameter uncertainty.

Authors:  Anne-Gaëlle Dosne; Martin Bergstrand; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-09-08       Impact factor: 2.745

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