Literature DB >> 24533988

Dosimetry of 64Cu-DOTA-AE105, a PET tracer for uPAR imaging.

Morten Persson1, Henrik H El Ali2, Tina Binderup2, Andreas Pfeifer2, Jacob Madsen3, Palle Rasmussen4, Andreas Kjaer5.   

Abstract

UNLABELLED: (64)Cu-DOTA-AE105 is a novel positron emission tomography (PET) tracer specific to the human urokinase-type plasminogen activator receptor (uPAR). In preparation of using this tracer in humans, as a new promising method to distinguish between indolent and aggressive cancers, we have performed PET studies in mice to evaluate the in vivo biodistribution and estimate human dosimetry of (64)Cu-DOTA-AE105.
METHODS: Five mice received iv tail injection of (64)Cu-DOTA-AE105 and were PET/CT scanned 1, 4.5 and 22 h post injection. Volume-of-interest (VOI) were manually drawn on the following organs: heart, lung, liver, kidney, spleen, intestine, muscle, bone and bladder. The activity concentrations in the mentioned organs [%ID/g] were used for the dosimetry calculation. The %ID/g of each organ at 1, 4.5 and 22 h was scaled to human value based on a difference between organ and body weights. The scaled values were then exported to OLINDA software for computation of the human absorbed doses. The residence times as well as effective dose equivalent for male and female could be obtained for each organ. To validate this approach, of human projection using mouse data, five mice received iv tail injection of another (64)Cu-DOTA peptide-based tracer, (64)Cu-DOTA-TATE, and underwent same procedure as just described. The human dosimetry estimates were then compared with observed human dosimetry estimate recently found in a first-in-man study using (64)Cu-DOTA-TATE.
RESULTS: Human estimates of (64)Cu-DOTA-AE105 revealed the heart wall to receive the highest dose (0.0918 mSv/MBq) followed by the liver (0.0815 mSv/MBq), All other organs/tissue were estimated to receive doses in the range of 0.02-0.04 mSv/MBq. The mean effective whole-body dose of (64)Cu-DOTA-AE105 was estimated to be 0.0317 mSv/MBq. Relatively good correlation between human predicted and observed dosimetry estimates for (64)Cu-DOTA-TATE was found. Importantly, the effective whole body dose was predicted with very high precision (predicted value: 0.0252 mSv/Mbq, Observed value: 0.0315 mSv/MBq) thus validating our approach for human dosimetry estimation.
CONCLUSION: Favorable dosimetry estimates together with previously reported uPAR PET data fully support human testing of (64)Cu-DOTA-AE105.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DOTA; Dosimetry; PET; Peptide; Translational; Urokinase; uPAR

Mesh:

Substances:

Year:  2013        PMID: 24533988     DOI: 10.1016/j.nucmedbio.2013.12.007

Source DB:  PubMed          Journal:  Nucl Med Biol        ISSN: 0969-8051            Impact factor:   2.408


  10 in total

1.  A Modular Dual-Labeling Scaffold That Retains Agonistic Properties for Somatostatin Receptor Targeting.

Authors:  Sukhen C Ghosh; Melissa Rodriguez; Kendra S Carmon; Julie Voss; Nathaniel L Wilganowski; Agnes Schonbrunn; Ali Azhdarinia
Journal:  J Nucl Med       Date:  2017-06-01       Impact factor: 10.057

2.  Prognostic Value of Urokinase-Type Plasminogen Activator Receptor PET/CT in Head and Neck Squamous Cell Carcinomas and Comparison with 18F-FDG PET/CT: A Single-Center Prospective Study.

Authors:  Louise M Risør; Malene M Clausen; Zaza Ujmajuridze; Mohammed Farhadi; Kim F Andersen; Annika Loft; Jeppe Friborg; Andreas Kjaer
Journal:  J Nucl Med       Date:  2021-12-02       Impact factor: 11.082

3.  (68)Ga-DOTATOC PET and gene expression profile in patients with neuroendocrine carcinomas: strong correlation between PET tracer uptake and gene expression of somatostatin receptor subtype 2.

Authors:  Ingrid H Olsen; Seppo W Langer; Birgitte H Federspiel; Jytte Oxbøl; Annika Loft; Anne Kiil Berthelsen; Jann Mortensen; Peter Oturai; Ulrich Knigge; Andreas Kjær
Journal:  Am J Nucl Med Mol Imaging       Date:  2016-01-28

4.  Use of full-dose contrast-enhanced CT for extrahepatic staging using Gallium-68-DOTATATE PET/CT in patients with neuroendocrine tumors.

Authors:  Jonas Apitzsch; Frederik Anton Verburg; Felix Mottaghy; Alexander Heinzel
Journal:  Diagn Interv Radiol       Date:  2021-07       Impact factor: 2.630

5.  First-in-human uPAR PET: Imaging of Cancer Aggressiveness.

Authors:  Morten Persson; Dorthe Skovgaard; Malene Brandt-Larsen; Camilla Christensen; Jacob Madsen; Carsten H Nielsen; Tine Thurison; Thomas Levin Klausen; Søren Holm; Annika Loft; Anne Kiil Berthelsen; Michael Ploug; Helle Pappot; Klaus Brasso; Niels Kroman; Liselotte Højgaard; Andreas Kjaer
Journal:  Theranostics       Date:  2015-09-13       Impact factor: 11.556

Review 6.  PET imaging of urokinase-type plasminogen activator receptor (uPAR) in prostate cancer: current status and future perspectives.

Authors:  Dorthe Skovgaard; Morten Persson; Andreas Kjaer
Journal:  Clin Transl Imaging       Date:  2016-07-04

Review 7.  64Cu-based Radiopharmaceuticals in Molecular Imaging.

Authors:  Yeye Zhou; Jihui Li; Xin Xu; Man Zhao; Bin Zhang; Shengming Deng; Yiwei Wu
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

Review 8.  Molecular imaging of the urokinase plasminogen activator receptor: opportunities beyond cancer.

Authors:  V M Baart; R D Houvast; L F de Geus-Oei; P H A Quax; P J K Kuppen; A L Vahrmeijer; C F M Sier
Journal:  EJNMMI Res       Date:  2020-07-28       Impact factor: 3.138

Review 9.  Therapeutic Strategies Targeting Urokinase and Its Receptor in Cancer.

Authors:  Maria Teresa Masucci; Michele Minopoli; Gioconda Di Carluccio; Maria Letizia Motti; Maria Vincenza Carriero
Journal:  Cancers (Basel)       Date:  2022-01-19       Impact factor: 6.639

10.  Biodistribution and dosimetry of the GluN2B-specific NMDA receptor PET radioligand (R)-[11C]Me-NB1.

Authors:  Lucas Rischka; Matej Murgaš; Verena Pichler; Chrysoula Vraka; Ivo Rausch; Dietmar Winkler; Lukas Nics; Sazan Rasul; Leo Robert Silberbauer; Murray Bruce Reed; Godber Mathis Godbersen; Jakob Unterholzner; Patricia Handschuh; Gregor Gryglewski; Thomas Mindt; Markus Mitterhauser; Andreas Hahn; Simon Mensah Ametamey; Wolfgang Wadsak; Rupert Lanzenberger; Marcus Hacker
Journal:  EJNMMI Res       Date:  2022-08-26       Impact factor: 3.434

  10 in total

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