Population pharmacokinetics and CD20 binding dynamics for mosunetuzumab in relapsed/refractory B-cell non-Hodgkin lymphoma.


Journal

Clinical and translational science
ISSN: 1752-8062
Titre abrégé: Clin Transl Sci
Pays: United States
ID NLM: 101474067

Informations de publication

Date de publication:
Jun 2024
Historique:
revised: 23 04 2024
received: 01 03 2024
accepted: 28 04 2024
medline: 29 5 2024
pubmed: 29 5 2024
entrez: 29 5 2024
Statut: ppublish

Résumé

Mosunetuzumab (Mosun) is a CD20xCD3 T-cell engaging bispecific antibody that redirects T cells to eliminate malignant B cells. The approved step-up dose regimen of 1/2/60/30 mg IV is designed to mitigate cytokine release syndrome (CRS) and maximize efficacy in early cycles. A population pharmacokinetic (popPK) model was developed from 439 patients with relapsed/refractory B-Cell Non-Hodgkin lymphoma receiving Mosun IV monotherapy, including fixed dosing (0.05-2.8 mg IV every 3 weeks (q3w)) and Cycle 1 step-up dosing groups (0.4/1/2.8-1/2/60/30 mg IV q3w). Prior to Mosun treatment, ~50% of patients had residual levels of anti-CD20 drugs (e.g., rituximab or obinutuzumab) from prior treatment. CD20 receptor binding dynamics and rituximab/obinutuzumab PK were incorporated into the model to calculate the Mosun CD20 receptor occupancy percentage (RO%) over time. A two-compartment model with time-dependent clearance (CL) best described the data. The typical patient had an initial CL of 1.08 L/day, transitioning to a steady-state CL of 0.584 L/day. Statistically relevant covariates on PK parameters included body weight, albumin, sex, tumor burden, and baseline anti-CD20 drug concentration; no covariate was found to have a clinically relevant impact on exposure at the approved dose. Mosun CD20 RO% was highly variable, attributed to the large variability in residual baseline anti-CD20 drug concentration (median = 10 μg/mL). The 60 mg loading doses increased Mosun CD20 RO% in Cycle 1, providing efficacious exposures in the presence of the competing anti-CD20 drugs. PopPK model simulations, investigating Mosun dose delays, informed treatment resumption protocols to ensure CRS mitigation.

Identifiants

pubmed: 38808543
doi: 10.1111/cts.13825
doi:

Substances chimiques

Antigens, CD20 0
Antibodies, Bispecific 0
Antibodies, Monoclonal, Humanized 0
Antineoplastic Agents, Immunological 0
obinutuzumab O43472U9X8
Rituximab 4F4X42SYQ6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13825

Informations de copyright

© 2024 The Author(s). Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.

Références

Budde LE, Assouline S, Sehn LH, et al. Single‐agent Mosunetuzumab shows durable complete responses in patients with relapsed or refractory B‐cell lymphomas: phase I dose‐escalation study. J Clin Oncol. 2022;40(5):481‐491. doi:10.1200/JCO.21.00931
Budde LE, Sehn LH, Matasar M, et al. Safety and efficacy of mosunetuzumab, a bispecific antibody, in patients with relapsed or refractory follicular lymphoma: a single‐arm, multicentre, phase 2 study. Lancet Oncol. 2022;23(8):1055‐1065. doi:10.1016/S1470-2045(22)00335-7
Shimabukuro‐Vornhagen A, Gödel P, Subklewe M, et al. Cytokine release syndrome. J Immunother Cancer. 2018;6(1):56. doi:10.1186/s40425-018-0343-9
Lindbom L, Ribbing J, Jonsson EN. Perl‐speaks‐NONMEM (PsN)–a Perl module for NONMEM related programming. Comput Methods Prog Biomed. 2004;75(2):85‐94. doi:10.1016/j.cmpb.2003.11.003
Lindbom L, Pihlgren P, Jonsson EN. PsN‐toolkit–a collection of computer intensive statistical methods for non‐linear mixed effect modeling using NONMEM. Comput Methods Prog Biomed. 2005;79(3):241‐257. doi:10.1016/j.cmpb.2005.04.005
Gibiansky E, Gibiansky L, Carlile DJ, Jamois C, Buchheit V, Frey N. Population pharmacokinetics of obinutuzumab (GA101) in chronic lymphocytic leukemia (CLL) and non‐Hodgkin's lymphoma and exposure‐response in CLL. CPT Pharmacometrics Syst Pharmacol. 2014;3(10):e144. doi:10.1038/psp.2014.42
Li J, Zhi J, Wenger M, et al. Population pharmacokinetics of rituximab in patients with chronic lymphocytic leukemia. J Clin Pharmacol. 2012;52(12):1918‐1926. doi:10.1177/0091270011430506
GAZYVA USPI (obinutuzumab) Injection, for intravenous infusion. Initial U.S. Approval: November 2013. https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/125486s017s018lbl.pdf
Mathematica version 12.3 Wolfram Research, Inc. https://www.wolfram.com/mathematica
Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction‐corrected visual predictive checks for diagnosing nonlinear mixed‐effects models. AAPS J. 2011;13(2):143‐151. doi:10.1208/s12248-011-9255-z
Anderson BJ, Holford NH. Mechanism‐based concepts of size and maturity in pharmacokinetics. Annu Rev Pharmacol Toxicol. 2008;48:303‐332. doi:10.1146/annurev.pharmtox.48.113006.094708
Dirks NL, Meibohm B. Population pharmacokinetics of therapeutic monoclonal antibodies. Clin Pharmacokinet. 2010;49(10):633‐659. doi:10.2165/11535960-000000000-00000
Wang Y, Booth B, Rahman A, Kim G, Huang SM, Zineh I. Toward greater insights on pharmacokinetics and exposure‐response relationships for therapeutic biologics in oncology drug development. Clin Pharmacol Ther. 2017;101(5):582‐584. doi:10.1002/cpt.628
Schropp J, Khot A, Shah DK, Koch G. Target‐mediated drug disposition Model for bispecific antibodies: properties, approximation, and optimal dosing strategy. CPT Pharmacometrics Syst Pharmacol. 2019;8(3):177‐187. doi:10.1002/psp4.12369
Gibiansky E, Petry C, Mercier F, et al. Ocrelizumab in relapsing and primary progressive multiple sclerosis: pharmacokinetic and pharmacodynamic analyses of OPERA I, OPERA II and ORATORIO. Br J Clin Pharmacol. 2021;87(6):2511‐2520. doi:10.1111/bcp.14658
Columvi. CHMP assessment report. International non‐proprietary name: glofitamab. EMEA/H/C//005751/0000 European Medicines Agency. 2019 https://www.ema.europa.eu/en/documents/assessment‐report/columvi‐epar‐public‐assessment‐report_en.pdf
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(4):631‐642. doi:10.1002/cpt.982
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(5):403‐414. doi:10.1007/s10928-017-9528-y
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(5):657‐666. doi:10.1002/cpt.656
Li J, Piskol R, Ybarra R, et al. CD3 bispecific antibody‐induced cytokine release is dispensable for cytotoxic T cell activity. Sci Transl Med. 2019;11(508):1‐12. doi:10.1126/scitranslmed.aax8861
LUNSUMIO. Highlights of prescribing information. 2022 https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/761263s000lbl.pdf
Miao X, Wu LS, Lin SXW, et al. Population pharmacokinetics and exposure‐response with Teclistamab in patients with relapsed/refractory multiple myeloma: results from MajesTEC‐1. Target Oncol. 2023;18(5):667‐684. doi:10.1007/s11523-023-00989-z
Djebli N, Jaminion F, Laurent J, et al. Population pharmacokinetics and novel exposure‐response analyses to inform optimal biologic dose selection for CD20‐TCB, a T‐cell‐engaging bispecific antibody, in relapsed or refractory B‐cell non‐Hodgkin lymphoma. Blood. 2019;134(1):3799. doi:10.1182/blood-2019-123712

Auteurs

Brendan Bender (B)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Chi-Chung Li (CC)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Mathilde Marchand (M)

Certara Strategic Consulting, Paris, France.

David C Turner (DC)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Feifei Li (F)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Shweta Vadhavkar (S)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Bei Wang (B)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Rong Deng (R)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

James Lu (J)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Jin Jin (J)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Chunze Li (C)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Shen Yin (S)

Department of Product Development Oncology, Genentech Inc., South San Francisco, California, USA.

Michael Wei (M)

Department of Product Development Oncology, Genentech Inc., South San Francisco, California, USA.

Pascal Chanu (P)

Department of Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH