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Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature

New peptide-based diagnostic and therapeutic approaches hold promise for highly selective targeting of cancer leading to more precise and effective diagnostic and therapeutic modalities. An important feature of these approaches is to reach the tumor tissue while limiting or minimizing the dose to no...

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Autores principales: Merrill, Joseph R., Krajewski, Krzysztof, Yuan, Hong, Frank, Jonathan E., Lalush, David S., Patterson, Cam, Veleva, Anka N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792855/
https://www.ncbi.nlm.nih.gov/pubmed/27014735
http://dx.doi.org/10.1016/j.dib.2016.02.080
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author Merrill, Joseph R.
Krajewski, Krzysztof
Yuan, Hong
Frank, Jonathan E.
Lalush, David S.
Patterson, Cam
Veleva, Anka N.
author_facet Merrill, Joseph R.
Krajewski, Krzysztof
Yuan, Hong
Frank, Jonathan E.
Lalush, David S.
Patterson, Cam
Veleva, Anka N.
author_sort Merrill, Joseph R.
collection PubMed
description New peptide-based diagnostic and therapeutic approaches hold promise for highly selective targeting of cancer leading to more precise and effective diagnostic and therapeutic modalities. An important feature of these approaches is to reach the tumor tissue while limiting or minimizing the dose to normal organs. In this context, efforts to design and engineer materials with optimal in vivo targeting and clearance properties are important. This Data In Brief article reports on biodistribution and radiation absorbed dose profile of a novel high affinity radiopeptide specific for bone marrow-derived tumor vasculature. Background information on the design, preparation, and in vivo characterization of this peptide-based targeted radiodiagnostic is described in the article “Synthesis and comparative evaluation of novel 64Cu-labeled high affinity cell-specific peptides for positron emission tomography of tumor vasculature” (Merrill et al., 2016) [1]. Here we report biodistribution measurements in mice and calculate the radiation absorbed doses to normal organs using a modified Medical Internal Radiation Dosimetry (MIRD) methodology that accounts for physical and geometric factors and cross-organ beta doses.
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spelling pubmed-47928552016-03-24 Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature Merrill, Joseph R. Krajewski, Krzysztof Yuan, Hong Frank, Jonathan E. Lalush, David S. Patterson, Cam Veleva, Anka N. Data Brief Data Article New peptide-based diagnostic and therapeutic approaches hold promise for highly selective targeting of cancer leading to more precise and effective diagnostic and therapeutic modalities. An important feature of these approaches is to reach the tumor tissue while limiting or minimizing the dose to normal organs. In this context, efforts to design and engineer materials with optimal in vivo targeting and clearance properties are important. This Data In Brief article reports on biodistribution and radiation absorbed dose profile of a novel high affinity radiopeptide specific for bone marrow-derived tumor vasculature. Background information on the design, preparation, and in vivo characterization of this peptide-based targeted radiodiagnostic is described in the article “Synthesis and comparative evaluation of novel 64Cu-labeled high affinity cell-specific peptides for positron emission tomography of tumor vasculature” (Merrill et al., 2016) [1]. Here we report biodistribution measurements in mice and calculate the radiation absorbed doses to normal organs using a modified Medical Internal Radiation Dosimetry (MIRD) methodology that accounts for physical and geometric factors and cross-organ beta doses. Elsevier 2016-03-04 /pmc/articles/PMC4792855/ /pubmed/27014735 http://dx.doi.org/10.1016/j.dib.2016.02.080 Text en © 2016 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Data Article
Merrill, Joseph R.
Krajewski, Krzysztof
Yuan, Hong
Frank, Jonathan E.
Lalush, David S.
Patterson, Cam
Veleva, Anka N.
Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature
title Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature
title_full Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature
title_fullStr Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature
title_full_unstemmed Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature
title_short Data on biodistribution and radiation absorbed dose profile of a novel (64)Cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature
title_sort data on biodistribution and radiation absorbed dose profile of a novel (64)cu-labeled high affinity cell-specific peptide for positron emission tomography imaging of tumor vasculature
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792855/
https://www.ncbi.nlm.nih.gov/pubmed/27014735
http://dx.doi.org/10.1016/j.dib.2016.02.080
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