Selection of the optimal chelator for labeling of DARPin Ec1 with gallium-68 for PET imaging of EpCAM expression.

阅读:15
作者:Vorobyeva Anzhelika, Din Moeen-Ud, Schulga Alexey, Konovalova Elena, Abouzayed Ayman, Bragina Olga, Li Ruonan, Gräslund Torbjörn, Deyev Sergey M, Oroujeni Maryam
BACKGROUND: Epithelial cell adhesion molecule (EpCAM) is a transmembrane glycoprotein, which is overexpressed in several types of malignancies. Designed ankyrin repeat protein (DARPin) Ec1 is a 19 kDa engineered scaffold protein that binds with high affinity to EpCAM. Radiolabelled Ec1 might be used as a companion diagnostic for the selection of patients for personalized therapy. This study aimed to investigate the influence of different radiometal-chelator complexes on the biodistribution and imaging contrast of (68)Ga-labelled Ec1. To investigate this, two macrocyclic chelators, 1,4,7-triazacyclononane-N,N,N-triacetic acid (NOTA) and 1-(1,3-carboxypropyl)-1,4,7-triazacyclononane-4,7-diacetic acid (NODAGA) were conjugated to the C-terminus of the Ec1. The previously developed DARPin Ec1 conjugated to 1,4,7,10-tetraazacylododecane-1,4,7,10-tetraacetic acid (DOTA) was used as a comparator. RESULTS: All Ec1 variants were successfully labelled with (68)Ga. The use of NOTA and NODAGA provided twice higher radiochemical yield and improved label stability compared to DOTA. All labelled Ec1 variants bound to the EpCAM-expressing cells with nanomolar affinity and preserved targeting specificity in vitro and in vivo. Biodistribution studies in mice bearing EpCAM-expressing SKOV-3 xenografts showed that [(68)Ga]Ga-Ec1-NOTA had lower uptake in most normal organs while maintaining tumor uptake. Among all variants, [(68)Ga]Ga-Ec1-NOTA showed the lowest liver uptake, with no significant differences in tumor uptake. Additionally, [(68)Ga]Ga-Ec1-NOTA provided the highest tumor-to-blood ratio compared to [(68)Ga]Ga-Ec1-DOTA and [(68)Ga]Ga-Ec1-NODAGA. CONCLUSION: [(68)Ga]Ga-Ec1-NOTA is the preferred radioconjugate for PET imaging of EpCAM expression.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。