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A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development
Adverse drug reactions (ADRs) of targeted therapy drugs (TTDs) are frequently unexpected and long‐term toxicities detract from exceptional efficacy of new TTDs. In this proof‐of‐concept study, we explored how molecular causation involved in trastuzumab‐induced cardiotoxicity changes when trastuzumab...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010262/ https://www.ncbi.nlm.nih.gov/pubmed/35014203 http://dx.doi.org/10.1111/cts.13219 |
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author | Kim, Sarah Lahu, Gezim Vakilynejad, Majid Soldatos, Theodoros G. Jackson, David B. Lesko, Lawrence J. Trame, Mirjam N. |
author_facet | Kim, Sarah Lahu, Gezim Vakilynejad, Majid Soldatos, Theodoros G. Jackson, David B. Lesko, Lawrence J. Trame, Mirjam N. |
author_sort | Kim, Sarah |
collection | PubMed |
description | Adverse drug reactions (ADRs) of targeted therapy drugs (TTDs) are frequently unexpected and long‐term toxicities detract from exceptional efficacy of new TTDs. In this proof‐of‐concept study, we explored how molecular causation involved in trastuzumab‐induced cardiotoxicity changes when trastuzumab was given in combination with doxorubicin, tamoxifen, paroxetine, or lapatinib. The data analytical platform Molecular Health Effect was utilized to map population ADR data from the US Food and Drug Administration (FDA) Adverse Event Reporting System to chemical and biological databases (such as UniProt and Reactome), for hypothesis generation regarding the underlying molecular mechanisms causing cardiotoxicity. Disproportionality analysis was used to assess the statistical relevance between adverse events of interest and molecular causation. Literature search was performed to compare the established hypotheses to published experimental findings. We found that the combination therapy of trastuzumab and doxorubicin may affect mitochondrial dysfunction in cardiomyocytes through different molecular pathways such as BCL‐X and PGC‐1α proteins, leading to a synergistic effect of cardiotoxicity. We found, on the other hand, that trastuzumab‐induced cardiotoxicity would be diminished by concomitant use of tamoxifen, paroxetine, and/or lapatinib. Tamoxifen and paroxetine may cause less cardiotoxicity through an increase in antioxidant activities, such as glutathione conjugation. Lapatinib may decrease the apoptotic effects in cardiomyocytes by altering the effects of trastuzumab on BCL‐X proteins. This patient‐centered systems‐based approach provides, based on the trastuzumab‐induced ADR cardiotoxicity, an example of how to apply reverse translation to investigate ADRs at the molecular pathway and target level to understand the causality and prevalence during drug development of novel therapeutics. |
format | Online Article Text |
id | pubmed-9010262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90102622022-04-18 A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development Kim, Sarah Lahu, Gezim Vakilynejad, Majid Soldatos, Theodoros G. Jackson, David B. Lesko, Lawrence J. Trame, Mirjam N. Clin Transl Sci Research Adverse drug reactions (ADRs) of targeted therapy drugs (TTDs) are frequently unexpected and long‐term toxicities detract from exceptional efficacy of new TTDs. In this proof‐of‐concept study, we explored how molecular causation involved in trastuzumab‐induced cardiotoxicity changes when trastuzumab was given in combination with doxorubicin, tamoxifen, paroxetine, or lapatinib. The data analytical platform Molecular Health Effect was utilized to map population ADR data from the US Food and Drug Administration (FDA) Adverse Event Reporting System to chemical and biological databases (such as UniProt and Reactome), for hypothesis generation regarding the underlying molecular mechanisms causing cardiotoxicity. Disproportionality analysis was used to assess the statistical relevance between adverse events of interest and molecular causation. Literature search was performed to compare the established hypotheses to published experimental findings. We found that the combination therapy of trastuzumab and doxorubicin may affect mitochondrial dysfunction in cardiomyocytes through different molecular pathways such as BCL‐X and PGC‐1α proteins, leading to a synergistic effect of cardiotoxicity. We found, on the other hand, that trastuzumab‐induced cardiotoxicity would be diminished by concomitant use of tamoxifen, paroxetine, and/or lapatinib. Tamoxifen and paroxetine may cause less cardiotoxicity through an increase in antioxidant activities, such as glutathione conjugation. Lapatinib may decrease the apoptotic effects in cardiomyocytes by altering the effects of trastuzumab on BCL‐X proteins. This patient‐centered systems‐based approach provides, based on the trastuzumab‐induced ADR cardiotoxicity, an example of how to apply reverse translation to investigate ADRs at the molecular pathway and target level to understand the causality and prevalence during drug development of novel therapeutics. John Wiley and Sons Inc. 2022-01-11 2022-04 /pmc/articles/PMC9010262/ /pubmed/35014203 http://dx.doi.org/10.1111/cts.13219 Text en © 2022 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://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 | Research Kim, Sarah Lahu, Gezim Vakilynejad, Majid Soldatos, Theodoros G. Jackson, David B. Lesko, Lawrence J. Trame, Mirjam N. A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development |
title | A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development |
title_full | A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development |
title_fullStr | A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development |
title_full_unstemmed | A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development |
title_short | A case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development |
title_sort | case study of a patient‐centered reverse translational systems‐based approach to understand adverse event profiles in drug development |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010262/ https://www.ncbi.nlm.nih.gov/pubmed/35014203 http://dx.doi.org/10.1111/cts.13219 |
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