Skip to main content
Top
Published in: Advances in Therapy 9/2019

01-09-2019 | Pharmacokinetics | Original Research

Population Pharmacokinetic Analysis of Bintrafusp Alfa in Different Cancer Types

Authors: Justin J. Wilkins, Yulia Vugmeyster, Isabelle Dussault, Pascal Girard, Akash Khandelwal

Published in: Advances in Therapy | Issue 9/2019

Login to get access

Abstract

Introduction

Bintrafusp alfa, an innovative first-in-class bifunctional fusion protein composed of the extracellular domain of the TGF-βRII receptor (a TGF-β “trap”) fused to a human IgG1 monoclonal antibody blocking programmed death ligand 1, has shown promising antitumor activity and manageable safety.

Methods

To support the dosing strategy for bintrafusp alfa, we developed a population pharmacokinetics model using a full covariate modeling approach, based on pharmacokinetic and covariate data from 644 patients with various solid tumors who received bintrafusp alfa intravenously in two clinical studies.

Results

A two-compartmental linear model best described bintrafusp alfa concentrations, and no time-varying clearance was identified. Using this model, the estimated clearance was 0.0158 l/h (relative standard error, 4.1%), and the central and peripheral volume of distribution were 3.21 l (relative standard error, 3.2%) and 0.483 l (relative standard error, 9.8%), respectively. The estimated mean elimination half-life of bintrafusp alfa was 6.93 days (95% CI 4.69–9.65 days). Several intrinsic factors (bodyweight, albumin, sex, and tumor type) were found to influence bintrafusp alfa pharmacokinetics, but none of these covariate effects was considered clinically meaningful and no dosage adjustments are recommended. Notably, simulations from the model suggested less variability in exposure metrics with flat dosing versus weight-based dosing.

Conclusions

Pharmacokinetic analysis of bintrafusp alfa supports the use of a flat dose regimen in further clinical trials (recommended phase 2 dose: 1200 mg every 2 weeks).

Trial registration

ClinicalTrials.gov identifiers: NCT02517398 and NCT02699515.

Funding

Merck Healthcare KGaA as part of an alliance between Merck Healthcare KGaA and GlaxoSmithKline.
Appendix
Available only for authorised users
Literature
2.
go back to reference Yang L, Pang Y, Moses HL. TGF-beta and immune cells: an important regulatory axis in the tumor microenvironment and progression. Trends Immunol. 2010;31:220–7.CrossRefPubMedPubMedCentral Yang L, Pang Y, Moses HL. TGF-beta and immune cells: an important regulatory axis in the tumor microenvironment and progression. Trends Immunol. 2010;31:220–7.CrossRefPubMedPubMedCentral
3.
4.
go back to reference Ferris RL, Lenz H-J, Trotta AM, et al. Rationale for combination of therapeutic antibodies targeting tumor cells and immune checkpoint receptors: harnessing innate and adaptive immunity through IgG1 isotype immune effector stimulation. Cancer Treat Rev. 2018;63:48–60.CrossRefPubMed Ferris RL, Lenz H-J, Trotta AM, et al. Rationale for combination of therapeutic antibodies targeting tumor cells and immune checkpoint receptors: harnessing innate and adaptive immunity through IgG1 isotype immune effector stimulation. Cancer Treat Rev. 2018;63:48–60.CrossRefPubMed
5.
go back to reference Lan Y, Zhang D, Xu C, et al. Enhanced preclinical antitumor activity of M7824, a bifunctional fusion protein simultaneously targeting PD-L1 and TGF-beta. Sci Transl Med. 2018;10(424).CrossRefPubMed Lan Y, Zhang D, Xu C, et al. Enhanced preclinical antitumor activity of M7824, a bifunctional fusion protein simultaneously targeting PD-L1 and TGF-beta. Sci Transl Med. 2018;10(424).CrossRefPubMed
6.
go back to reference David JM, Dominguez C, McCampbell KK, Gulley JL, Schlom J, Palena C. A novel bifunctional anti-PD-L1/TGF-β trap fusion protein (M7824) efficiently reverts mesenchymalization of human lung cancer cells. Oncoimmunology. 2017;6:e1349589.CrossRefPubMedPubMedCentral David JM, Dominguez C, McCampbell KK, Gulley JL, Schlom J, Palena C. A novel bifunctional anti-PD-L1/TGF-β trap fusion protein (M7824) efficiently reverts mesenchymalization of human lung cancer cells. Oncoimmunology. 2017;6:e1349589.CrossRefPubMedPubMedCentral
7.
go back to reference Strauss J, Heery CR, Schlom J, et al. Phase I trial of M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGFβ, in advanced solid tumors. Clin Cancer Res. 2018;24:1287–95.CrossRefPubMed Strauss J, Heery CR, Schlom J, et al. Phase I trial of M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGFβ, in advanced solid tumors. Clin Cancer Res. 2018;24:1287–95.CrossRefPubMed
8.
go back to reference Fujiwara Y, Koyama T, Helwig C, Watanabe M, Doi T. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in Asian patients with advanced solid tumors. J Clin Oncol. 2018;36 (abstract 762).CrossRef Fujiwara Y, Koyama T, Helwig C, Watanabe M, Doi T. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in Asian patients with advanced solid tumors. J Clin Oncol. 2018;36 (abstract 762).CrossRef
9.
go back to reference Paz-Ares LG, Kim TM, Vicente Baz D, et al. Results from a second-line (2L) NSCLC cohort treated with M7824 (MSB0011359C), a bifunctional fusion protein targeting TGF-β and PD-L1. J Clin Oncol. 2018;36 (abstract 9017).CrossRef Paz-Ares LG, Kim TM, Vicente Baz D, et al. Results from a second-line (2L) NSCLC cohort treated with M7824 (MSB0011359C), a bifunctional fusion protein targeting TGF-β and PD-L1. J Clin Oncol. 2018;36 (abstract 9017).CrossRef
10.
go back to reference Tan B, Khattak A, Felip E, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with post-platinum esophageal adenocarcinoma (EAC): preliminary results from a phase 1 cohort. Ann Oncol. 2018;29 (abstract 643P). Tan B, Khattak A, Felip E, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with post-platinum esophageal adenocarcinoma (EAC): preliminary results from a phase 1 cohort. Ann Oncol. 2018;29 (abstract 643P).
11.
go back to reference Cho B, Daste A, Ravaud A, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients (pts) with advanced SCCHN: results from a phase 1 cohort. Ann Oncol. 2018;29 (abstract 1048O). Cho B, Daste A, Ravaud A, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients (pts) with advanced SCCHN: results from a phase 1 cohort. Ann Oncol. 2018;29 (abstract 1048O).
12.
go back to reference Kopetz S, Spira AI, Wertheim M, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with heavily pretreated CRC: preliminary results from a phase I trial. J Clin Oncol. 2018;36 (abstract 764).CrossRef Kopetz S, Spira AI, Wertheim M, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with heavily pretreated CRC: preliminary results from a phase I trial. J Clin Oncol. 2018;36 (abstract 764).CrossRef
13.
go back to reference Bang Y-J, Doi T, Kondo S, et al. Updated results from a phase 1 trial of M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with pretreated recurrent or refractory gastric cancer. Ann Oncol. 2018;29 (abstract 661P). Bang Y-J, Doi T, Kondo S, et al. Updated results from a phase 1 trial of M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with pretreated recurrent or refractory gastric cancer. Ann Oncol. 2018;29 (abstract 661P).
14.
go back to reference Lin C-C, Doi T, Muro K, et al. Phase 1 study results from an esophageal squamous cell carcinoma (ESCC) cohort treated with M7824 (MSB0011359C), a bifunctional fusion protein targeting transforming growth factor β (TGF-β) and PD-L1. Ann Oncol. 2018;29 (abstract 642P). Lin C-C, Doi T, Muro K, et al. Phase 1 study results from an esophageal squamous cell carcinoma (ESCC) cohort treated with M7824 (MSB0011359C), a bifunctional fusion protein targeting transforming growth factor β (TGF-β) and PD-L1. Ann Oncol. 2018;29 (abstract 642P).
15.
go back to reference Barlesi F, Isambert N, Enriqueta F, et al. Initial results from phase 1 trial of M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with NSCLC refractory or resistant to prior anti–PD-1/anti–PD-L1 agents. J Immunother Cancer. 2017;5:86 (abstract O14).CrossRef Barlesi F, Isambert N, Enriqueta F, et al. Initial results from phase 1 trial of M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with NSCLC refractory or resistant to prior anti–PD-1/anti–PD-L1 agents. J Immunother Cancer. 2017;5:86 (abstract O14).CrossRef
16.
go back to reference Strauss J, Gatti-Mays ME, Redman J, et al. Safety and activity of M7824, a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with HPV associated cancers. J Clin Oncol. 2018;36 (abstract 3007).CrossRef Strauss J, Gatti-Mays ME, Redman J, et al. Safety and activity of M7824, a bifunctional fusion protein targeting PD-L1 and TGF-β, in patients with HPV associated cancers. J Clin Oncol. 2018;36 (abstract 3007).CrossRef
17.
go back to reference Kang Y-K, Doi T, Kondo S, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in Asian patients with pretreated recurrent or refractory gastric cancer: preliminary results from a phase I trial. J Clin Oncol. 2018;36 (abstract 100).CrossRef Kang Y-K, Doi T, Kondo S, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in Asian patients with pretreated recurrent or refractory gastric cancer: preliminary results from a phase I trial. J Clin Oncol. 2018;36 (abstract 100).CrossRef
18.
go back to reference Yoo C, Oh D-Y, Choi H, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in Asian patients with pretreated biliary tract cancer: preliminary results from a phase 1 trial. Ann Oncol. 2018;29 (abstract 757P). Yoo C, Oh D-Y, Choi H, et al. M7824 (MSB0011359C), a bifunctional fusion protein targeting PD-L1 and TGF-β, in Asian patients with pretreated biliary tract cancer: preliminary results from a phase 1 trial. Ann Oncol. 2018;29 (abstract 757P).
19.
go back to reference Vugmeyster Y, Wilkins J, Harrison-Moench E, et al. Selection of the recommended phase 2 dose (RP2D) for M7824 (MSB0011359C), a bifunctional fusion protein targeting TGF-β and PD-L1. J Clin Oncol. 2018;36 (abstract 2566).CrossRef Vugmeyster Y, Wilkins J, Harrison-Moench E, et al. Selection of the recommended phase 2 dose (RP2D) for M7824 (MSB0011359C), a bifunctional fusion protein targeting TGF-β and PD-L1. J Clin Oncol. 2018;36 (abstract 2566).CrossRef
20.
go back to reference Wang DD, Zhang S, Zhao H, Men AY, Parivar K. Fixed dosing versus body size-based dosing of monoclonal antibodies in adult clinical trials. J Clin Pharmacol. 2009;49:1012–24.CrossRefPubMed Wang DD, Zhang S, Zhao H, Men AY, Parivar K. Fixed dosing versus body size-based dosing of monoclonal antibodies in adult clinical trials. J Clin Pharmacol. 2009;49:1012–24.CrossRefPubMed
21.
go back to reference Liu C, Yu J, Li H, et al. Association of time-varying clearance of nivolumab with disease dynamics and its implications on exposure response analysis. Clin Pharmacol Ther. 2017;101:657–66.CrossRefPubMed Liu C, Yu J, Li H, et al. Association of time-varying clearance of nivolumab with disease dynamics and its implications on exposure response analysis. Clin Pharmacol Ther. 2017;101:657–66.CrossRefPubMed
22.
go back to reference Li H, Yu J, Liu C, et al. Time dependent pharmacokinetics of pembrolizumab in patients with solid tumor and its correlation with best overall response. J Pharmacokinet Pharmacodyn. 2017;44:403–14.CrossRefPubMed Li H, Yu J, Liu C, et al. Time dependent pharmacokinetics of pembrolizumab in patients with solid tumor and its correlation with best overall response. J Pharmacokinet Pharmacodyn. 2017;44:403–14.CrossRefPubMed
23.
go back to reference Baverel PG, Dubois VFS, Jin CY, et al. Population pharmacokinetics of durvalumab in cancer patients and association with longitudinal biomarkers of disease status. Clin Pharmacol Ther. 2018;103:631–42.CrossRefPubMedPubMedCentral Baverel PG, Dubois VFS, Jin CY, et al. Population pharmacokinetics of durvalumab in cancer patients and association with longitudinal biomarkers of disease status. Clin Pharmacol Ther. 2018;103:631–42.CrossRefPubMedPubMedCentral
24.
go back to reference Wilkins J, Brockhaus B, Wang S, et al. Population pharmacokinetic analysis of avelumab in different cancer types. J Pharmacokinet Pharmacodyn. 2017;44:11–143.CrossRef Wilkins J, Brockhaus B, Wang S, et al. Population pharmacokinetic analysis of avelumab in different cancer types. J Pharmacokinet Pharmacodyn. 2017;44:11–143.CrossRef
25.
go back to reference Beal SL, Sheiner LB, Boeckmann AJ, Bauer RJ. NONMEM users guides. Ellicott City: Icon Development Solutions; 1989. Beal SL, Sheiner LB, Boeckmann AJ, Bauer RJ. NONMEM users guides. Ellicott City: Icon Development Solutions; 1989.
27.
go back to reference Keizer RJ, Karlsson MO, Hooker A. Modeling and simulation workbench for NONMEM: tutorial on Pirana, PsN, and Xpose. CPT Pharm Syst Pharmacol. 2013;2:e50.CrossRef Keizer RJ, Karlsson MO, Hooker A. Modeling and simulation workbench for NONMEM: tutorial on Pirana, PsN, and Xpose. CPT Pharm Syst Pharmacol. 2013;2:e50.CrossRef
28.
go back to reference Lindbom L, Ribbing J, Jonsson EN. Perl-speaks-NONMEM (PsN)–a Perl module for NONMEM related programming. Comput Methods Programs Biomed. 2004;75:85–94.CrossRefPubMed Lindbom L, Ribbing J, Jonsson EN. Perl-speaks-NONMEM (PsN)–a Perl module for NONMEM related programming. Comput Methods Programs Biomed. 2004;75:85–94.CrossRefPubMed
29.
go back to reference Keizer RJ, van Benten M, Beijnen JH, Schellens JHM, Huitema ADR. Piraña and PCluster: a modeling environment and cluster infrastructure for NONMEM. Comput Methods Programs Biomed. 2011;101:72–9.CrossRefPubMed Keizer RJ, van Benten M, Beijnen JH, Schellens JHM, Huitema ADR. Piraña and PCluster: a modeling environment and cluster infrastructure for NONMEM. Comput Methods Programs Biomed. 2011;101:72–9.CrossRefPubMed
30.
go back to reference Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13:143–51.CrossRefPubMedPubMedCentral Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13:143–51.CrossRefPubMedPubMedCentral
31.
go back to reference Karlsson MO, Sheiner LB. The importance of modeling interoccasion variability in population pharmacokinetic analyses. J Pharmacokinet Biopharm. 1993;21:735–50.CrossRefPubMed Karlsson MO, Sheiner LB. The importance of modeling interoccasion variability in population pharmacokinetic analyses. J Pharmacokinet Biopharm. 1993;21:735–50.CrossRefPubMed
32.
go back to reference Gastonguay MR. Full covariate models as an alternative to methods relying on statistical significance for inferences about covariate effects: a review of methodology and 42 case studies. In: Presented at the PAGE Annual Meeting; June 7–10, 2011; Athens, Greece (abstract 2229). Gastonguay MR. Full covariate models as an alternative to methods relying on statistical significance for inferences about covariate effects: a review of methodology and 42 case studies. In: Presented at the PAGE Annual Meeting; June 7–10, 2011; Athens, Greece (abstract 2229).
33.
go back to reference Wählby U, Thomson AH, Milligan PA, Karlsson MO. Models for time-varying covariates in population pharmacokinetic-pharmacodynamic analysis. Br J Clin Pharmacol. 2004;58:367–77.CrossRefPubMedPubMedCentral Wählby U, Thomson AH, Milligan PA, Karlsson MO. Models for time-varying covariates in population pharmacokinetic-pharmacodynamic analysis. Br J Clin Pharmacol. 2004;58:367–77.CrossRefPubMedPubMedCentral
34.
go back to reference Ryman JT, Meibohm B. Pharmacokinetics of monoclonal antibodies. CPT Pharm Syst Pharmacol. 2017;6:576–88.CrossRef Ryman JT, Meibohm B. Pharmacokinetics of monoclonal antibodies. CPT Pharm Syst Pharmacol. 2017;6:576–88.CrossRef
35.
go back to reference Zhao X, Suryawanshi S, Hruska M, et al. Assessment of nivolumab benefit-risk profile of a 240-mg flat dose relative to a 3-mg/kg dosing regimen in patients with advanced tumors. Ann Oncol. 2017;28:2002–8.CrossRefPubMedPubMedCentral Zhao X, Suryawanshi S, Hruska M, et al. Assessment of nivolumab benefit-risk profile of a 240-mg flat dose relative to a 3-mg/kg dosing regimen in patients with advanced tumors. Ann Oncol. 2017;28:2002–8.CrossRefPubMedPubMedCentral
36.
37.
go back to reference Stroh M, Winter H, Marchand M, et al. Clinical pharmacokinetics and pharmacodynamics of atezolizumab in metastatic urothelial carcinoma. Clin Pharmacol Ther. 2017;102:305–12.CrossRefPubMed Stroh M, Winter H, Marchand M, et al. Clinical pharmacokinetics and pharmacodynamics of atezolizumab in metastatic urothelial carcinoma. Clin Pharmacol Ther. 2017;102:305–12.CrossRefPubMed
Metadata
Title
Population Pharmacokinetic Analysis of Bintrafusp Alfa in Different Cancer Types
Authors
Justin J. Wilkins
Yulia Vugmeyster
Isabelle Dussault
Pascal Girard
Akash Khandelwal
Publication date
01-09-2019
Publisher
Springer Healthcare
Published in
Advances in Therapy / Issue 9/2019
Print ISSN: 0741-238X
Electronic ISSN: 1865-8652
DOI
https://doi.org/10.1007/s12325-019-01018-0

Other articles of this Issue 9/2019

Advances in Therapy 9/2019 Go to the issue