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A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs
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-Citrullin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409735/ https://www.ncbi.nlm.nih.gov/pubmed/30823607 http://dx.doi.org/10.3390/pharmaceutics11020098 |
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author | Singh, Aman P. Guo, Leiming Verma, Ashwni Wong, Gloria Gao-Li Shah, Dhaval K. |
author_facet | Singh, Aman P. Guo, Leiming Verma, Ashwni Wong, Gloria Gao-Li Shah, Dhaval K. |
author_sort | Singh, Aman P. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6409735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64097352019-03-29 A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs Singh, Aman P. Guo, Leiming Verma, Ashwni Wong, Gloria Gao-Li Shah, Dhaval K. Pharmaceutics Article 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. MDPI 2019-02-25 /pmc/articles/PMC6409735/ /pubmed/30823607 http://dx.doi.org/10.3390/pharmaceutics11020098 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Singh, Aman P. Guo, Leiming Verma, Ashwni Wong, Gloria Gao-Li Shah, Dhaval K. A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs |
title | A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs |
title_full | A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs |
title_fullStr | A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs |
title_full_unstemmed | A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs |
title_short | A Cell-Level Systems PK-PD Model to Characterize In Vivo Efficacy of ADCs |
title_sort | cell-level systems pk-pd model to characterize in vivo efficacy of adcs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409735/ https://www.ncbi.nlm.nih.gov/pubmed/30823607 http://dx.doi.org/10.3390/pharmaceutics11020098 |
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