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Commentary on Pharmacometrics for Immunotherapy
This commentary provides an overview of recent examples of pharmacometrics applied during the clinical development of two antagonists of the programmed death‐1 (PD‐1) cell surface receptor, pembrolizumab and nivolumab. Despite the remarkable achievements obtained in predicting the correct dosing sch...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270298/ https://www.ncbi.nlm.nih.gov/pubmed/27997736 http://dx.doi.org/10.1002/psp4.12162 |
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author | Garrido, MJ Berraondo, P Trocóniz, IF |
author_facet | Garrido, MJ Berraondo, P Trocóniz, IF |
author_sort | Garrido, MJ |
collection | PubMed |
description | This commentary provides an overview of recent examples of pharmacometrics applied during the clinical development of two antagonists of the programmed death‐1 (PD‐1) cell surface receptor, pembrolizumab and nivolumab. Despite the remarkable achievements obtained in predicting the correct dosing schedule from different quantitative approaches, data indicated a great degree of heterogeneity in tumor response. To achieve therapeutic goals the search for predictive biomarkers associated with a lack of response and mechanism‐based combination studies are warranted. |
format | Online Article Text |
id | pubmed-5270298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-52702982017-02-01 Commentary on Pharmacometrics for Immunotherapy Garrido, MJ Berraondo, P Trocóniz, IF CPT Pharmacometrics Syst Pharmacol Commentary This commentary provides an overview of recent examples of pharmacometrics applied during the clinical development of two antagonists of the programmed death‐1 (PD‐1) cell surface receptor, pembrolizumab and nivolumab. Despite the remarkable achievements obtained in predicting the correct dosing schedule from different quantitative approaches, data indicated a great degree of heterogeneity in tumor response. To achieve therapeutic goals the search for predictive biomarkers associated with a lack of response and mechanism‐based combination studies are warranted. John Wiley and Sons Inc. 2017-01-17 2017-01 /pmc/articles/PMC5270298/ /pubmed/27997736 http://dx.doi.org/10.1002/psp4.12162 Text en © 2016 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Commentary Garrido, MJ Berraondo, P Trocóniz, IF Commentary on Pharmacometrics for Immunotherapy |
title | Commentary on Pharmacometrics for Immunotherapy |
title_full | Commentary on Pharmacometrics for Immunotherapy |
title_fullStr | Commentary on Pharmacometrics for Immunotherapy |
title_full_unstemmed | Commentary on Pharmacometrics for Immunotherapy |
title_short | Commentary on Pharmacometrics for Immunotherapy |
title_sort | commentary on pharmacometrics for immunotherapy |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270298/ https://www.ncbi.nlm.nih.gov/pubmed/27997736 http://dx.doi.org/10.1002/psp4.12162 |
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