Evaluation of chicken chorioallantoic membrane model for tumor imaging and drug development: Promising findings.
Animal Model Exp Med
; 2024 Jan 17.
Article
em En
| MEDLINE
| ID: mdl-38230452
ABSTRACT
BACKGROUND:
The 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 68 Ga-labeled HER2 affibody.METHODS:
Two human breast cancer cell lines were inoculated into chicken CAM and mice, respectively. The tumor-targeting potential and pharmacokinetic profile of a 68 Ga-labeled affibody, 68 Ga-MZHER, in both tumor models were also determined.RESULTS:
The 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 68 Ga-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.CONCLUSION:
In 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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
Animal Model Exp Med
Ano de publicação:
2024
Tipo de documento:
Article