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Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy
Photodynamic therapy (PDT) is an efficacious treatment for some types of cancers. However, PDT-induced tumor hypoxia as a result of oxygen consumption and vascular damage can reduce the efficacy of this therapy. Measuring and monitoring intrinsic and PDT-induced tumor hypoxia in vivo during PDT is o...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992876/ https://www.ncbi.nlm.nih.gov/pubmed/27546160 http://dx.doi.org/10.1038/srep31551 |
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author | Tong, Xiao Srivatsan, Avinash Jacobson, Orit Wang, Yu Wang, Zhantong Yang, Xiangyu Niu, Gang Kiesewetter, Dale O. Zheng, Hairong Chen, Xiaoyuan |
author_facet | Tong, Xiao Srivatsan, Avinash Jacobson, Orit Wang, Yu Wang, Zhantong Yang, Xiangyu Niu, Gang Kiesewetter, Dale O. Zheng, Hairong Chen, Xiaoyuan |
author_sort | Tong, Xiao |
collection | PubMed |
description | Photodynamic therapy (PDT) is an efficacious treatment for some types of cancers. However, PDT-induced tumor hypoxia as a result of oxygen consumption and vascular damage can reduce the efficacy of this therapy. Measuring and monitoring intrinsic and PDT-induced tumor hypoxia in vivo during PDT is of high interest for prognostic and treatment evaluation. In the present study, static and dynamic (18)F-FMISO PET were performed with mice bearing either U87MG or MDA-MB-435 tumor xenografts immediately before and after PDT at different time points. Significant difference in tumor hypoxia in response to PDT over time was found between the U87MG and MDA-MB-435 tumors in both static and dynamic PET. Dynamic PET with pharmacokinetics modeling further monitored the kinetics of (18)F-FMISO retention to hypoxic sites after treatment. The K(i) and k(3) parametric analysis provided information on tumor hypoxia by distinction of the specific tracer retention in hypoxic sites from its non-specific distribution in tumor. Dynamic (18)F-FMISO PET with pharmacokinetics modeling, complementary to static PET analysis, provides a potential imaging tool for more detailed and more accurate quantification of tumor hypoxia during PDT. |
format | Online Article Text |
id | pubmed-4992876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49928762016-08-30 Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy Tong, Xiao Srivatsan, Avinash Jacobson, Orit Wang, Yu Wang, Zhantong Yang, Xiangyu Niu, Gang Kiesewetter, Dale O. Zheng, Hairong Chen, Xiaoyuan Sci Rep Article Photodynamic therapy (PDT) is an efficacious treatment for some types of cancers. However, PDT-induced tumor hypoxia as a result of oxygen consumption and vascular damage can reduce the efficacy of this therapy. Measuring and monitoring intrinsic and PDT-induced tumor hypoxia in vivo during PDT is of high interest for prognostic and treatment evaluation. In the present study, static and dynamic (18)F-FMISO PET were performed with mice bearing either U87MG or MDA-MB-435 tumor xenografts immediately before and after PDT at different time points. Significant difference in tumor hypoxia in response to PDT over time was found between the U87MG and MDA-MB-435 tumors in both static and dynamic PET. Dynamic PET with pharmacokinetics modeling further monitored the kinetics of (18)F-FMISO retention to hypoxic sites after treatment. The K(i) and k(3) parametric analysis provided information on tumor hypoxia by distinction of the specific tracer retention in hypoxic sites from its non-specific distribution in tumor. Dynamic (18)F-FMISO PET with pharmacokinetics modeling, complementary to static PET analysis, provides a potential imaging tool for more detailed and more accurate quantification of tumor hypoxia during PDT. Nature Publishing Group 2016-08-22 /pmc/articles/PMC4992876/ /pubmed/27546160 http://dx.doi.org/10.1038/srep31551 Text en Copyright © 2016, The Author(s) 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 Tong, Xiao Srivatsan, Avinash Jacobson, Orit Wang, Yu Wang, Zhantong Yang, Xiangyu Niu, Gang Kiesewetter, Dale O. Zheng, Hairong Chen, Xiaoyuan Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy |
title | Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy |
title_full | Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy |
title_fullStr | Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy |
title_full_unstemmed | Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy |
title_short | Monitoring Tumor Hypoxia Using (18)F-FMISO PET and Pharmacokinetics Modeling after Photodynamic Therapy |
title_sort | monitoring tumor hypoxia using (18)f-fmiso pet and pharmacokinetics modeling after photodynamic therapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992876/ https://www.ncbi.nlm.nih.gov/pubmed/27546160 http://dx.doi.org/10.1038/srep31551 |
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