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Meeting ReportRadiopharmaceutical Chemistry: New Radiopharmaceuticals

Identification of the optimal Cu-64 bifunctional chelator for radioimmunodetection of neuroblastoma

Jason Dearling, Stephan Voss, Patricia Dunning, Erin Snay, Frederick Fahey, Claude Meares, Ted Treves, Suzanne Smith and Alan Packard
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 375;
Jason Dearling
1Division of Nuclear Medicine, Department of Radiology, Childrens Hospital Boston and Harvard Medical School, Boston, MA
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Stephan Voss
1Division of Nuclear Medicine, Department of Radiology, Childrens Hospital Boston and Harvard Medical School, Boston, MA
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Patricia Dunning
1Division of Nuclear Medicine, Department of Radiology, Childrens Hospital Boston and Harvard Medical School, Boston, MA
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Erin Snay
1Division of Nuclear Medicine, Department of Radiology, Childrens Hospital Boston and Harvard Medical School, Boston, MA
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Frederick Fahey
1Division of Nuclear Medicine, Department of Radiology, Childrens Hospital Boston and Harvard Medical School, Boston, MA
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Claude Meares
2Department of Chemistry, UC Davis, Davis, CA
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Ted Treves
1Division of Nuclear Medicine, Department of Radiology, Childrens Hospital Boston and Harvard Medical School, Boston, MA
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Suzanne Smith
3ANSTO Institute of Materials and Engineering Science, Australia
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Alan Packard
1Division of Nuclear Medicine, Department of Radiology, Childrens Hospital Boston and Harvard Medical School, Boston, MA
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Abstract

375

Objectives The biodistribution of the anti-GD2 antibody ch14.18 labeled with Cu-64 using 5 bifunctional chelators (BFCs) was measured to determine which provided optimal combination of tumor uptake and clearance from non-target tissues.

Methods Five BFCs (pba-NOTA, SarAr, BAT-6, DOTA, and pba-DOTA) were conjugated to ch14.18 and labeled with 64Cu. The radioimmunoconjugates (RIC) (50 μg, 100-250 μCi) were injected into mice (n = 3-5) bearing M21 tumors. MicroPET images were obtained at 1, 24 and 48 h, and biodistribution was measured at 48 h.

Results All RICs localized to the tumor, with absolute uptake related to tumor size. Significant differences between the RICs (ANOVA, Bonferroni, P < 0.05) were observed in liver, spleen and kidney, with uptake of the SarAr RIC being higher and pba-NOTA being lower, without a decrease in tumor uptake. For example, at 48 h p.i. the tumor to tissue ratios with pba-NOTA were: liver 3.3:1; kidney 3.1:1, whereas for SarAr the ratios were: liver 2.8:1; kidney 2.3:1.

Conclusions The differences in uptake and clearance by the non-target tissues are surprising, given that Cu-NOTA is less stable than Cu-SarAr. The data suggest that the SarAr BFC is providing more accurate information about the biodistribution of the RIC. Cu-64 lost from the less stable complexes is excreted from non-target tissues. Selection of an optimal bifunctional chelator will aid in the development of an improved agent for the detection of neuroblastoma.

Research Support National Institutes of Health Grants 5K08CA093554 and 5R01CA094338.

  • © 2009 by Society of Nuclear Medicine
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Journal of Nuclear Medicine
Vol. 50, Issue supplement 2
May 2009
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Identification of the optimal Cu-64 bifunctional chelator for radioimmunodetection of neuroblastoma
Jason Dearling, Stephan Voss, Patricia Dunning, Erin Snay, Frederick Fahey, Claude Meares, Ted Treves, Suzanne Smith, Alan Packard
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 375;

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Identification of the optimal Cu-64 bifunctional chelator for radioimmunodetection of neuroblastoma
Jason Dearling, Stephan Voss, Patricia Dunning, Erin Snay, Frederick Fahey, Claude Meares, Ted Treves, Suzanne Smith, Alan Packard
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 375;
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