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Ménochet K, Yu H, Wang B, Tibbitts J, Hsu CP, Kamath AV, Richter WF, Baumann A. Non-human primates in the PKPD evaluation of biologics: Needs and options to reduce, refine, and replace. A BioSafe White Paper. MAbs 2022; 14:2145997. [PMID: 36418217 PMCID: PMC9704389 DOI: 10.1080/19420862.2022.2145997] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Monoclonal antibodies (mAbs) deliver great benefits to patients with chronic and/or severe diseases thanks to their strong specificity to the therapeutic target. As a result of this specificity, non-human primates (NHP) are often the only preclinical species in which therapeutic antibodies cross-react with the target. Here, we highlight the value and limitations that NHP studies bring to the design of safe and efficient early clinical trials. Indeed, data generated in NHPs are integrated with in vitro information to predict the concentration/effect relationship in human, and therefore the doses to be tested in first-in-human trials. The similarities and differences in the systems defining the pharmacokinetics and pharmacodynamics (PKPD) of mAbs in NHP and human define the nature and the potential of the preclinical investigations performed in NHPs. Examples have been collated where the use of NHP was either pivotal to the design of the first-in-human trial or, inversely, led to the termination of a project prior to clinical development. The potential impact of immunogenicity on the results generated in NHPs is discussed. Strategies to optimize the use of NHPs for PKPD purposes include the addition of PD endpoints in safety assessment studies and the potential re-use of NHPs after non-terminal studies or cassette dosing several therapeutic agents of interest. Efforts are also made to reduce the use of NHPs in the industry through the use of in vitro systems, alternative in vivo models, and in silico approaches. In the case of prediction of ocular PK, the body of evidence gathered over the last two decades renders the use of NHPs obsolete. Expert perspectives, advantages, and pitfalls with these alternative approaches are shared in this review.
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Affiliation(s)
- Karelle Ménochet
- Quantitative Discovery and Development, UCB, Slough, UK,CONTACT Karelle Ménochet Quantitative Discovery and Development, UCB, Slough, UK
| | - Hongbin Yu
- R&D Project Management and Development Strategies, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, CT, USA
| | - Bonnie Wang
- Nonclinical Disposition and Bioanalysis, Bristol Myers Squibb, Inc, Princeton, NJ, USA
| | - Jay Tibbitts
- Nonclinical Development, South San Francisco, CA, USA
| | - Cheng-Pang Hsu
- Preclinical Development and Clinical Pharmacology, AskGene Pharma Inc, Camarillo, CA, USA
| | - Amrita V. Kamath
- Preclinical and Translational Pharmacokinetics and Pharmacodynamics, Genentech Inc, South San Francisco, CA, USA
| | - Wolfgang F. Richter
- Roche Pharma Research and Early Development, Roche Innovation, Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Andreas Baumann
- R&D, Bayer Pharma AG, Berlin, Germany & Non-clinical Biotech Consulting, Potsdam, Germany °(° present affiliation)
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A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs. Pharmaceutics 2019; 11:pharmaceutics11020098. [PMID: 30823607 PMCID: PMC6409735 DOI: 10.3390/pharmaceutics11020098] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 02/18/2019] [Accepted: 02/20/2019] [Indexed: 01/13/2023] Open
Abstract
Here, we have presented the development of a systems pharmacokinetics-pharmacodynamics (PK-PD) model for antibody-drug conjugates (ADCs), which uses intracellular target occupancy to drive in-vivo efficacy. The model is built based on PK and efficacy data generated using Trastuzumab-Valine-Citrulline-Monomethyl Auristatin E (T-vc-MMAE) ADC in N87 (high-HER2) and GFP-MCF7 (low-HER2) tumor bearing mice. It was observed that plasma PK of all ADC analytes was similar between the two tumor models; however, total trastuzumab, unconjugated MMAE, and total MMAE exposures were >10-fold, ~1.6-fold, and ~1.8-fold higher in N87 tumors. In addition, a prolonged retention of MMAE was observed within the tumors of both the mouse models, suggesting intracellular binding of MMAE to tubulin. A systems PK model, developed by integrating single-cell PK model with tumor distribution model, was able to capture all in vivo PK data reasonably well. Intracellular occupancy of tubulin predicted by the PK model was used to drive the efficacy of ADC using a novel PK-PD model. It was found that the same set of PD parameters was able to capture MMAE induced killing of GFP-MCF7 and N87 cells in vivo. These observations highlight the benefit of adopting a systems approach for ADC and provide a robust and predictive framework for successful clinical translation of ADCs.
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