Carlos Pérez-Medina1, Dalya Abdel-Atti2, Yachao Zhang2, Valerie A Longo2, Chrisopher P Irwin2, Tina Binderup3, Jesús Ruiz-Cabello4, Zahi A Fayad5, Jason S Lewis6, Willem J M Mulder5, Thomas Reiner7. 1. Centro de Investigación en Red de Enfermedades Respiratorias, Madrid, Spain Centro Nacional de Investigaciones Cardiovasculares, CNIC, Madrid, Spain Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York. 2. Radiochemistry and Imaging Sciences Service, Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York. 3. Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York Cluster for Molecular Imaging, Faculty of Health Sciences and Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen, Denmark. 4. Centro de Investigación en Red de Enfermedades Respiratorias, Madrid, Spain Centro Nacional de Investigaciones Cardiovasculares, CNIC, Madrid, Spain. 5. Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York. 6. Radiochemistry and Imaging Sciences Service, Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York Molecular Pharmacology and Chemistry Program, Memorial Sloan-Kettering Cancer Center, New York, New York; and Center for Molecular Imaging and Nanotechnology, Memorial Sloan-Kettering Cancer Center, New York, New York. 7. Radiochemistry and Imaging Sciences Service, Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York Center for Molecular Imaging and Nanotechnology, Memorial Sloan-Kettering Cancer Center, New York, New York reinert@mskcc.org.
Abstract
UNLABELLED: Advances in preclinical molecular imaging have generated new opportunities to noninvasively visualize the biodistribution and tumor targeting of nanoparticle therapeutics. Capitalizing on recent achievements in this area, we sought to develop an (89)Zr-based labeling strategy for liposomal nanoparticles that accumulate in tumors via passive targeting mechanisms. METHODS: (89)Zr-labeled liposomes were prepared using 2 different approaches: click labeling and surface chelation. Pharmacokinetic and biodistribution studies, as well as PET/CT imaging of the radiolabeled nanoparticles, were performed on a mouse model of breast cancer. In addition, a dual PET/optical probe was prepared by incorporation of a near-infrared fluorophore and tested in vivo by PET and near-infrared fluorescence imaging. RESULTS: The surface chelation approach proved to be superior in terms of radiochemical yield and stability, as well as in vivo performance. Accumulation of these liposomes in tumor peaked at 24 h after injection and was measured to be 13.7 ± 1.8 percentage injected dose per gram. The in vivo performance of this probe was not essentially perturbed by the incorporation of a near-infrared fluorophore. CONCLUSION: We have developed a highly modular and efficient strategy for the labeling of liposomal nanoparticles with (89)Zr. In xenograft and orthotopic mouse models of breast cancer, we demonstrated that the biodistribution of these nanoparticles can be visualized by PET imaging. In combination with a near-infrared dye, these liposomal nanoparticles can serve as bimodal PET/optical imaging agents. The liposomes target malignant growth, and their bimodal features may be useful for simultaneous PET and intraoperative imaging.
UNLABELLED: Advances in preclinical molecular imaging have generated new opportunities to noninvasively visualize the biodistribution and tumor targeting of nanoparticle therapeutics. Capitalizing on recent achievements in this area, we sought to develop an (89)Zr-based labeling strategy for liposomal nanoparticles that accumulate in tumors via passive targeting mechanisms. METHODS: (89)Zr-labeled liposomes were prepared using 2 different approaches: click labeling and surface chelation. Pharmacokinetic and biodistribution studies, as well as PET/CT imaging of the radiolabeled nanoparticles, were performed on a mouse model of breast cancer. In addition, a dual PET/optical probe was prepared by incorporation of a near-infrared fluorophore and tested in vivo by PET and near-infrared fluorescence imaging. RESULTS: The surface chelation approach proved to be superior in terms of radiochemical yield and stability, as well as in vivo performance. Accumulation of these liposomes in tumor peaked at 24 h after injection and was measured to be 13.7 ± 1.8 percentage injected dose per gram. The in vivo performance of this probe was not essentially perturbed by the incorporation of a near-infrared fluorophore. CONCLUSION: We have developed a highly modular and efficient strategy for the labeling of liposomal nanoparticles with (89)Zr. In xenograft and orthotopic mouse models of breast cancer, we demonstrated that the biodistribution of these nanoparticles can be visualized by PET imaging. In combination with a near-infrared dye, these liposomal nanoparticles can serve as bimodal PET/optical imaging agents. The liposomes target malignant growth, and their bimodal features may be useful for simultaneous PET and intraoperative imaging.
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