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Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy

The application of nanoparticle drug formulations, such as nanoliposomal doxorubicin (Doxil), is increasingly integrated in clinical cancer care. Despite nanomedicine's remarkable potential and growth over the last three decades, its clinical benefits for cancer patients vary. Here we report a...

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Autores principales: Pérez-Medina, Carlos, Abdel-Atti, Dalya, Tang, Jun, Zhao, Yiming, Fayad, Zahi A., Lewis, Jason S., Mulder, Willem J. M., Reiner, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915130/
https://www.ncbi.nlm.nih.gov/pubmed/27319780
http://dx.doi.org/10.1038/ncomms11838
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author Pérez-Medina, Carlos
Abdel-Atti, Dalya
Tang, Jun
Zhao, Yiming
Fayad, Zahi A.
Lewis, Jason S.
Mulder, Willem J. M.
Reiner, Thomas
author_facet Pérez-Medina, Carlos
Abdel-Atti, Dalya
Tang, Jun
Zhao, Yiming
Fayad, Zahi A.
Lewis, Jason S.
Mulder, Willem J. M.
Reiner, Thomas
author_sort Pérez-Medina, Carlos
collection PubMed
description The application of nanoparticle drug formulations, such as nanoliposomal doxorubicin (Doxil), is increasingly integrated in clinical cancer care. Despite nanomedicine's remarkable potential and growth over the last three decades, its clinical benefits for cancer patients vary. Here we report a non-invasive quantitative positron emission tomography (PET) nanoreporter technology that is predictive of therapeutic outcome in individual subjects. In a breast cancer mouse model, we demonstrate that co-injecting Doxil and a Zirconium-89 nanoreporter ((89)Zr-NRep) allows precise doxorubicin (DOX) quantification. Importantly, (89)Zr-NRep uptake also correlates with other types of nanoparticles' tumour accumulation. (89)Zr-NRep PET imaging reveals remarkable accumulation heterogeneity independent of tumour size. We subsequently demonstrate that mice with >25 mg kg(−1) DOX accumulation in tumours had significantly better growth inhibition and enhanced survival. This non-invasive imaging tool may be developed into a robust inclusion criterion for patients amenable to nanotherapy.
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spelling pubmed-49151302016-06-29 Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy Pérez-Medina, Carlos Abdel-Atti, Dalya Tang, Jun Zhao, Yiming Fayad, Zahi A. Lewis, Jason S. Mulder, Willem J. M. Reiner, Thomas Nat Commun Article The application of nanoparticle drug formulations, such as nanoliposomal doxorubicin (Doxil), is increasingly integrated in clinical cancer care. Despite nanomedicine's remarkable potential and growth over the last three decades, its clinical benefits for cancer patients vary. Here we report a non-invasive quantitative positron emission tomography (PET) nanoreporter technology that is predictive of therapeutic outcome in individual subjects. In a breast cancer mouse model, we demonstrate that co-injecting Doxil and a Zirconium-89 nanoreporter ((89)Zr-NRep) allows precise doxorubicin (DOX) quantification. Importantly, (89)Zr-NRep uptake also correlates with other types of nanoparticles' tumour accumulation. (89)Zr-NRep PET imaging reveals remarkable accumulation heterogeneity independent of tumour size. We subsequently demonstrate that mice with >25 mg kg(−1) DOX accumulation in tumours had significantly better growth inhibition and enhanced survival. This non-invasive imaging tool may be developed into a robust inclusion criterion for patients amenable to nanotherapy. Nature Publishing Group 2016-06-20 /pmc/articles/PMC4915130/ /pubmed/27319780 http://dx.doi.org/10.1038/ncomms11838 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Pérez-Medina, Carlos
Abdel-Atti, Dalya
Tang, Jun
Zhao, Yiming
Fayad, Zahi A.
Lewis, Jason S.
Mulder, Willem J. M.
Reiner, Thomas
Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
title Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
title_full Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
title_fullStr Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
title_full_unstemmed Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
title_short Nanoreporter PET predicts the efficacy of anti-cancer nanotherapy
title_sort nanoreporter pet predicts the efficacy of anti-cancer nanotherapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915130/
https://www.ncbi.nlm.nih.gov/pubmed/27319780
http://dx.doi.org/10.1038/ncomms11838
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