Affiliation:
1. Anhui Province Engineering Laboratory for Animal Food Quality and Bio‐safety College of Animal Science and Technology, Anhui Agricultural University Hefei China
2. NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China
Abstract
AbstractBackgroundThe chicken chorioallantoic membrane (CAM) model is a potential alternative to the mouse model based on the 3R principles. However, its value for determination of the in vivo behaviors of radiolabeled peptides through positron emission tomography (PET) imaging needed investigation. Herein, the chicken CAM tumor models were established, and their feasibility was evaluated for evaluating the imaging properties of radiolabeled peptides using a 68Ga‐labeled HER2 affibody.MethodsTwo human breast cancer cell lines were inoculated into chicken CAM and mice, respectively. The tumor‐targeting potential and pharmacokinetic profile of a 68Ga‐labeled affibody, 68Ga‐MZHER, in both tumor models were also determined.ResultsThe tumor‐formation time in chicken CAM model was shorter than that of mouse model. The uptake values of human epithelial growth factor receptor‐2 (HER2)‐positive Bcap37 tumors in chicken CAM and mouse models were 5.36 ± 0.26% ID/g and 5.26 ± 0.43% ID/g at 30 min postinjection of 68Ga‐MZHER, respectively. At the same time points, the uptake values of HER2‐negative MDA‐MB‐231 tumors in the chicken CAM models and mouse models were 1.57 ± 0.15% ID/g and 1.67 ± 0.25% ID/g, respectively. Ex vivo biodistribution confirmed that more radioactivity accumulated in Bcap37 tumors than in MDA‐MD‐231 tumors in both CAM and mouse models.ConclusionIn this study, the CAM tumor model was successfully prepared. The chicken CAM model is a novel tool for quickly determining the in vivo properties of radiolabeled peptides targeting biomarkers. It may be beneficial for early monitoring of the therapeutic effect of a new drug through PET imaging with specific peptides.
Funder
Basic Research Program of Jiangsu Province
National Natural Science Foundation of China