In Silico Re-Optimization of Atezolizumab Dosing Using Population Pharmacokinetic Simulation and Exposure-Response Simulation.
Autor: | Peer CJ; Clinical Pharmacology Program, National Cancer Institute, Bethesda, Maryland, USA., Schmidt KT; Clinical Pharmacology Program, National Cancer Institute, Bethesda, Maryland, USA., Arisa O; Clinical Pharmacology Program, National Cancer Institute, Bethesda, Maryland, USA., Richardson WJ; Clinical Pharmacology Program, National Cancer Institute, Bethesda, Maryland, USA., Paydary K; Department of Medicine, Section of Hematology/Oncology, and Committee on Clinical Pharmacology & Pharmacogenomics, The University of Chicago, Chicago, Illinois, USA., Goldstein DA; Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.; Davidoff Cancer Center, Rabin Medical Center, Petah Tikva, Israel.; Clalit Health Services, Tel Aviv, Israel., Gulley JL; Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, Maryland, USA., Figg WD; Clinical Pharmacology Program, National Cancer Institute, Bethesda, Maryland, USA., Ratain MJ; Department of Medicine, Section of Hematology/Oncology, and Committee on Clinical Pharmacology & Pharmacogenomics, The University of Chicago, Chicago, Illinois, USA. |
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Jazyk: | angličtina |
Zdroj: | Journal of clinical pharmacology [J Clin Pharmacol] 2023 Jun; Vol. 63 (6), pp. 672-680. Date of Electronic Publication: 2023 Feb 08. |
DOI: | 10.1002/jcph.2203 |
Abstrakt: | Atezolizumab, a humanized monoclonal antibody against programmed cell death ligand 1 (PD-L1), was initially approved in 2016, around the same time that the sponsor published the minimum serum concentration to maintain the saturation of receptor occupancy (6 μg/mL). The initially approved dose regimen of 1200 mg every 3 weeks (q3w) was subsequently modified to 840 mg q2w or 1680 mg q4w through pharmacokinetic simulations. Yet, each standard regimen yields steady-state trough concentrations (C (© 2023, The American College of Clinical Pharmacology.) |
Databáze: | MEDLINE |
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