Impact of DOTA Conjugation on Pharmacokinetics and Immunoreactivity of [177Lu]Lu-1C1m-Fc, an Anti TEM-1 Fusion Protein Antibody in a TEM-1 Positive Tumor Mouse Model.
Judith Anna DelageAlain Faivre-ChauvetJacques BarbetJulie Katrin FierleNiklaus SchaeferGeorge CoukosDavid ViertlSteven Mark DunnSilvano GnesinJohn O PriorPublished in: Pharmaceutics (2021)
1C1m-Fc, an anti-tumor endothelial marker 1 (TEM-1) scFv-Fc fusion protein antibody, was previously successfully radiolabeled with 177Lu. TEM-1 specific tumor uptake was observed together with a non-saturation dependent liver uptake that could be related to the number of dodecane tetraacetic acid (DOTA) chelator per 1C1m-Fc. The objective of this study was to verify this hypothesis and to find the best DOTA per 1C1m-Fc ratio for theranostic applications. 1C1m-Fc was conjugated with six concentrations of DOTA. High-pressure liquid chromatography, mass spectrometry, immunoreactivity assessment, and biodistribution studies in mice bearing TEM-1 positive tumors were performed. A multi-compartment pharmacokinetic model was used to fit the data and a global pharmacokinetic model was developed to illustrate the effect of liver capture and immunoreactivity loss. Organ absorbed doses in mice were calculated from biodistribution results. A loss of immunoreactivity was observed with the highest DOTA per 1C1m-Fc ratio. Except for the spleen and bone, an increase of DOTA per 1C1m-Fc ratio resulted in an increase of liver uptake and absorbed dose and a decrease of uptake in tumor and other tissues. Pharmacokinetic models correlated these results. The number of DOTA per antibody played a determining role in tumor targeting. One DOTA per 1C1m-Fc gave the best pharmacokinetic behavior for a future translation of [177Lu]Lu-1C1m-Fc in patients.
Keyphrases
- pet ct
- pet imaging
- mass spectrometry
- liquid chromatography
- mouse model
- positron emission tomography
- high resolution
- photodynamic therapy
- drug delivery
- newly diagnosed
- end stage renal disease
- endothelial cells
- prognostic factors
- adipose tissue
- high performance liquid chromatography
- high fat diet induced
- tandem mass spectrometry
- machine learning
- soft tissue
- body composition
- solid phase extraction