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Purpose: The established two-analyte integrated population pharmacokinetic model was applied to assess the impact of intrinsic/extrinsic factors on the pharmacokinetics (PK) of polatuzumab vedotin (pola) in patients with non-Hodgkin lymphoma (NHL) following bodyweight-based dosing.
Methods: Model simulations based on individual empirical Bayes estimates were used to evaluate the impact of intrinsic/extrinsic factors as patient subgroups on Cycle 6 exposures. Intrinsic factors included bodyweight, age, sex, hepatic and renal functions. Extrinsic factors included rituximab/obinutuzumab or bendamustine combination with pola and manufacturing process. The predicted impact on exposures along with the established exposure-response relationships were used to assess clinical relevance.
Results: No clinically meaningful differences in Cycle 6 pola exposures were found for the following subgroups: bodyweight 100-146 kg versus 38-<100 kg, age ≥ 65 years versus <65 years, female versus male, mild hepatic impairment versus normal, mild-to-moderate renal impairment versus normal. Co-administration of rituximab/obinutuzumab or bendamustine, and change in the pola manufacturing process, also had no meaningful impact on PK.
Conclusions: In patients with NHL, bodyweight-based dosing is adequate, and no further dose adjustment is recommended for the heavier subgroup (100-146 kg). In addition, no dose adjustments are recommended for other subgroups based on intrinsic/extrinsic factors evaluated.
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http://dx.doi.org/10.1007/s11095-020-02933-6 | DOI Listing |
Clin Pharmacokinet
June 2025
Daiichi Sankyo, Inc., Basking Ridge, New Jersey, USA.
Background And Objective: Patritumab deruxtecan (HER3-DXd, also known as MK-1022) is an antibody-drug conjugate comprising a fully human monoclonal antibody against human epidermal growth factor receptor 3 (HER3) attached to a topoisomerase I inhibitor payload, deruxtecan (DXd), via a tetrapeptide-based cleavable linker. We developed a population pharmacokinetic (PK) model for anti-HER3-ac-DXd (anti-HER3 antibody conjugated DXd) and DXd to characterize their PKs and investigate the impact of preselected covariates.
Methods: Data were pooled from four phase I/II studies including patients with breast, lung, and colorectal cancer (N = 733) treated with HER3-DXd monotherapy (1.
Nano Lett
June 2025
Centre Énergie Matériaux Télécommunications (EMT), Institut national de la recherche scientifique (INRS), 1650 boulevard Lionel-Boulet, Varennes, Québec J3X 1P7, Canada.
Graphene-based field-effect biosensors have attracted intensive interest due to the potential for realizing highly sensitive, selective, rapid, and multiplexed detection. To fabricate such a biosensor, graphene needs to be functionalized with a linker layer, to bridge the graphene channel with a biomolecular probe. This step is usually cumbersome and has limited material options.
View Article and Find Full Text PDFClin Pharmacokinet
October 2024
State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Chinese Academy of
Antibody-drug conjugates (ADCs) have become a pivotal area in the research and development of antitumor drugs. They provide innovative possibilities for tumor therapy by integrating the tumor-targeting capabilities of monoclonal antibodies with the cytotoxic effect of small molecule drugs. Pharmacometrics, an important discipline, facilitates comprehensive understanding of the pharmacokinetic characteristics of ADCs by integrating clinical trial data through modeling and simulation.
View Article and Find Full Text PDFPharm Res
December 2020
Department of Clinical Pharmacology, Genentech, Inc, South San Francisco, California, USA.
Purpose: The established two-analyte integrated population pharmacokinetic model was applied to assess the impact of intrinsic/extrinsic factors on the pharmacokinetics (PK) of polatuzumab vedotin (pola) in patients with non-Hodgkin lymphoma (NHL) following bodyweight-based dosing.
Methods: Model simulations based on individual empirical Bayes estimates were used to evaluate the impact of intrinsic/extrinsic factors as patient subgroups on Cycle 6 exposures. Intrinsic factors included bodyweight, age, sex, hepatic and renal functions.
CPT Pharmacometrics Syst Pharmacol
January 2020
Genentech Inc., South San Francisco, California, USA.
A two-analyte integrated population pharmacokinetic (PK) model that simultaneously describes concentrations of antibody-conjugated monomethyl auristatin E (acMMAE) and unconjugated MMAE following repeated administrations of polatuzumab vedotin (pola) was developed based on data from four clinical studies of pola in patients with non-Hodgkin lymphoma. A two-compartment model with a nonspecific, time-dependent linear clearance, a linear time-dependent exponentially declining clearance, and a Michaelis-Menten clearance provided a good fit of the acMMAE plasma PK profiles. All three acMMAE elimination pathways contributed to the input to the central compartment of unconjugated MMAE, which was also described by a two-compartment model.
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