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A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors
The discovery of the enhanced permeability and retention (EPR) effect has resulted in the development of nanomedicines, including liposome-based formulations of drugs, as cancer therapies. The use of liposomes has resulted in substantial increases in accumulation of drugs in solid tumors; yet, signi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3846845/ https://www.ncbi.nlm.nih.gov/pubmed/24312530 http://dx.doi.org/10.1371/journal.pone.0081157 |
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author | Stapleton, Shawn Milosevic, Michael Allen, Christine Zheng, Jinzi Dunne, Michael Yeung, Ivan Jaffray, David A. |
author_facet | Stapleton, Shawn Milosevic, Michael Allen, Christine Zheng, Jinzi Dunne, Michael Yeung, Ivan Jaffray, David A. |
author_sort | Stapleton, Shawn |
collection | PubMed |
description | The discovery of the enhanced permeability and retention (EPR) effect has resulted in the development of nanomedicines, including liposome-based formulations of drugs, as cancer therapies. The use of liposomes has resulted in substantial increases in accumulation of drugs in solid tumors; yet, significant improvements in therapeutic efficacy have yet to be achieved. Imaging of the tumor accumulation of liposomes has revealed that this poor or variable performance is in part due to heterogeneous inter-subject and intra-tumoral liposome accumulation, which occurs as a result of an abnormal transport microenvironment. A mathematical model that relates liposome accumulation to the underlying transport properties in solid tumors could provide insight into inter and intra-tumoral variations in the EPR effect. In this paper, we present a theoretical framework to describe liposome transport in solid tumors. The mathematical model is based on biophysical transport equations that describe pressure driven fluid flow across blood vessels and through the tumor interstitium. The model was validated by direct comparison with computed tomography measurements of tumor accumulation of liposomes in three preclinical tumor models. The mathematical model was fit to liposome accumulation curves producing predictions of transport parameters that reflect the tumor microenvironment. Notably, all fits had a high coefficient of determination and predictions of interstitial fluid pressure agreed with previously published independent measurements made in the same tumor type. Furthermore, it was demonstrated that the model attributed inter-subject heterogeneity in liposome accumulation to variations in peak interstitial fluid pressure. These findings highlight the relationship between transvascular and interstitial flow dynamics and variations in the EPR effect. In conclusion, we have presented a theoretical framework that predicts inter-subject and intra-tumoral variations in the EPR effect based on fundamental properties of the tumor microenvironment and forms the basis for transport modeling of liposome drug delivery. |
format | Online Article Text |
id | pubmed-3846845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38468452013-12-05 A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors Stapleton, Shawn Milosevic, Michael Allen, Christine Zheng, Jinzi Dunne, Michael Yeung, Ivan Jaffray, David A. PLoS One Research Article The discovery of the enhanced permeability and retention (EPR) effect has resulted in the development of nanomedicines, including liposome-based formulations of drugs, as cancer therapies. The use of liposomes has resulted in substantial increases in accumulation of drugs in solid tumors; yet, significant improvements in therapeutic efficacy have yet to be achieved. Imaging of the tumor accumulation of liposomes has revealed that this poor or variable performance is in part due to heterogeneous inter-subject and intra-tumoral liposome accumulation, which occurs as a result of an abnormal transport microenvironment. A mathematical model that relates liposome accumulation to the underlying transport properties in solid tumors could provide insight into inter and intra-tumoral variations in the EPR effect. In this paper, we present a theoretical framework to describe liposome transport in solid tumors. The mathematical model is based on biophysical transport equations that describe pressure driven fluid flow across blood vessels and through the tumor interstitium. The model was validated by direct comparison with computed tomography measurements of tumor accumulation of liposomes in three preclinical tumor models. The mathematical model was fit to liposome accumulation curves producing predictions of transport parameters that reflect the tumor microenvironment. Notably, all fits had a high coefficient of determination and predictions of interstitial fluid pressure agreed with previously published independent measurements made in the same tumor type. Furthermore, it was demonstrated that the model attributed inter-subject heterogeneity in liposome accumulation to variations in peak interstitial fluid pressure. These findings highlight the relationship between transvascular and interstitial flow dynamics and variations in the EPR effect. In conclusion, we have presented a theoretical framework that predicts inter-subject and intra-tumoral variations in the EPR effect based on fundamental properties of the tumor microenvironment and forms the basis for transport modeling of liposome drug delivery. Public Library of Science 2013-12-02 /pmc/articles/PMC3846845/ /pubmed/24312530 http://dx.doi.org/10.1371/journal.pone.0081157 Text en © 2013 Stapleton et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Stapleton, Shawn Milosevic, Michael Allen, Christine Zheng, Jinzi Dunne, Michael Yeung, Ivan Jaffray, David A. A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors |
title | A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors |
title_full | A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors |
title_fullStr | A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors |
title_full_unstemmed | A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors |
title_short | A Mathematical Model of the Enhanced Permeability and Retention Effect for Liposome Transport in Solid Tumors |
title_sort | mathematical model of the enhanced permeability and retention effect for liposome transport in solid tumors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3846845/ https://www.ncbi.nlm.nih.gov/pubmed/24312530 http://dx.doi.org/10.1371/journal.pone.0081157 |
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