Aza-BODIPY: A New Vector for Enhanced Theranostic Boron Neutron Capture Therapy Applications
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Titre | Aza-BODIPY: A New Vector for Enhanced Theranostic Boron Neutron Capture Therapy Applications |
Type de publication | Journal Article |
Year of Publication | 2020 |
Auteurs | Kalot G, Godard A, Busser B, Pliquett J, Broekgaarden M, Motto-Ros V, Wegner KDavid, Resch-Genger U, Koster U, Denat F, Coll J-L, Bodio E, Goze C, Sancey L |
Journal | CELLS |
Volume | 9 |
Pagination | 1953 |
Date Published | SEP |
Type of Article | Article |
Mots-clés | aza-BODIPY, B-10-BSH, BNCT, boron compound, in ovo model, NIR-I, optical imaging, SWIR, Theranostic |
Résumé | Boron neutron capture therapy (BNCT) is a radiotherapeutic modality based on the nuclear capture of slow neutrons by stable(10)B atoms followed by charged particle emission that inducing extensive damage on a very localized level (<10 mu m). To be efficient, a sufficient amount of(10)B should accumulate in the tumor area while being almost cleared from the normal surroundings. A water-soluble aza-boron-dipyrromethene dyes (BODIPY) fluorophore was reported to strongly accumulate in the tumor area with high and BNCT compatible Tumor/Healthy Tissue ratios. The clinically used(10)B-BSH (sodium borocaptate) was coupled to the water-soluble aza-BODIPY platform for enhanced(10)B-BSH tumor vectorization. We demonstrated a strong uptake of the compound in tumor cells and determined its biodistribution in mice-bearing tumors. A model of chorioallantoic membrane-bearing glioblastoma xenograft was developed to evidence the BNCT potential of such compound, by subjecting it to slow neutrons. We demonstrated the tumor accumulation of the compound in real-time using optical imaging and ex vivo using elemental imaging based on laser-induced breakdown spectroscopy. The tumor growth was significantly reduced as compared to BNCT with(10)B-BSH. Altogether, the fluorescent aza-BODIPY/B-10-BSH compound is able to vectorize and image the(10)B-BSH in the tumor area, increasing its theranostic potential for efficient approach of BNCT. |
DOI | 10.3390/cells9091953 |