UNLABELLED: Expression levels of the urokinase-type plasminogen activator receptor (uPAR) represent an established biomarker for poor prognosis in a variety of human cancers. The objective of the present study was to explore whether noninvasive PET can be used to perform a quantitative assessment of expression levels of uPAR across different human cancer xenograft models in mice and to illustrate the clinical potential of uPAR PET in future settings for individualized therapy. METHODS: To accomplish our objective, a linear, high-affinity uPAR peptide antagonist, AE105, was conjugated with DOTA and labeled with (64)Cu ((64)Cu-DOTA-AE105). Small-animal PET was performed in 3 human cancer xenograft mice models, expressing different levels of human uPAR, and the tumor uptake was correlated with the uPAR expression level determined by uPAR enzyme-linked immunosorbent assay. The tumor uptake pattern of this tracer was furthermore compared with (18)F-FDG uptake, and finally the correlation between sensitivity toward 5-fluorouracil therapy and uPAR expression level was investigated. RESULTS: The uPAR-targeting PET tracer was produced in high purity and with high specific radioactivity. A significant correlation between tumor uptake of (64)Cu-DOTA-AE105 and uPAR expression was found (R(2) = 0.73; P < 0.0001) across 3 cancer xenografts, thus providing a strong argument for specificity. A significantly different uptake pattern of (64)Cu-DOTA-AE105, compared with that of (18)F-FDG, was observed, thus emphasizing the additional information that can be obtained on tumor biology using (64)Cu-DOTA-AE105 PET. Furthermore, a significant correlation between baseline uPAR expression and sensitivity toward 5-fluorouracil was revealed, thus illustrating the possible potentials of uPAR PET in a clinical setting. CONCLUSION: Our results clearly demonstrate that the peptide-based PET tracer (64)Cu-DOTA-AE105 enables the noninvasive quantification of uPAR expression in tumors in vivo, thus emphasizing its potential use in a clinical setting to detect invasive cancer foci and for individualized cancer therapy.
UNLABELLED: Expression levels of the urokinase-type plasminogen activator receptor (uPAR) represent an established biomarker for poor prognosis in a variety of humancancers. The objective of the present study was to explore whether noninvasive PET can be used to perform a quantitative assessment of expression levels of uPAR across different humancancer xenograft models in mice and to illustrate the clinical potential of uPARPET in future settings for individualized therapy. METHODS: To accomplish our objective, a linear, high-affinity uPAR peptide antagonist, AE105, was conjugated with DOTA and labeled with (64)Cu ((64)Cu-DOTA-AE105). Small-animal PET was performed in 3 humancancer xenograft mice models, expressing different levels of humanuPAR, and the tumor uptake was correlated with the uPAR expression level determined by uPAR enzyme-linked immunosorbent assay. The tumor uptake pattern of this tracer was furthermore compared with (18)F-FDG uptake, and finally the correlation between sensitivity toward 5-fluorouracil therapy and uPAR expression level was investigated. RESULTS: The uPAR-targeting PET tracer was produced in high purity and with high specific radioactivity. A significant correlation between tumor uptake of (64)Cu-DOTA-AE105 and uPAR expression was found (R(2) = 0.73; P < 0.0001) across 3 cancer xenografts, thus providing a strong argument for specificity. A significantly different uptake pattern of (64)Cu-DOTA-AE105, compared with that of (18)F-FDG, was observed, thus emphasizing the additional information that can be obtained on tumor biology using (64)Cu-DOTA-AE105PET. Furthermore, a significant correlation between baseline uPAR expression and sensitivity toward 5-fluorouracil was revealed, thus illustrating the possible potentials of uPARPET in a clinical setting. CONCLUSION: Our results clearly demonstrate that the peptide-based PET tracer (64)Cu-DOTA-AE105 enables the noninvasive quantification of uPAR expression in tumors in vivo, thus emphasizing its potential use in a clinical setting to detect invasive cancer foci and for individualized cancer therapy.
Authors: Allen F Brooks; Lindsey R Drake; Megan N Stewart; Brian P Cary; Isaac M Jackson; Dale Mallette; Andrew V Mossine; Peter J H Scott Journal: Pharm Pat Anal Date: 2015-12-16
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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
Authors: Andreas Kjær; Annika Loft; Ian Law; Anne Kiil Berthelsen; Lise Borgwardt; Johan Löfgren; Camilla Bardram Johnbeck; Adam Espe Hansen; Sune Keller; Søren Holm; Liselotte Højgaard Journal: MAGMA Date: 2012-12-25 Impact factor: 2.310
Authors: Benjamin B Kasten; Xiaowei Ma; Kai Cheng; Lihong Bu; Winston S Slocumb; Thomas R Hayes; Steven Trabue; Zhen Cheng; Paul D Benny Journal: Bioconjug Chem Date: 2015-12-30 Impact factor: 4.774