Tumor uptake of anti-CD20 Fabs depends on tumor perfusion

J Nucl Med 2016; 57:1971–1977, DOI: 10.2967/jnumed.116.176784
J Nucl Med, online article

Antibodies have become an established treatment modality in cancer therapy during the last decade. However, these treatments often suffer from insufficient and heterogeneous response despite validated antigen or target receptor expression in the tumor. In fact, therapeutic success depends both on the presence and accessibility of the tumor antigen by the antibody. In search of a suitable preclinical animal model to evaluate the mechanisms of tumor heterogeneity and hemodynamics, we characterized two exemplary non-Hodgkin lymphoma subtypes with comparable CD20 expression and metabolism, SUDHL-4 and Granta, using multimodal imaging techniques. Methods: To investigate in vivo biodistribution, two differently modified αCD20 antigen-binding fragments (Fab), prepared (i) by PASylation and (ii) by fusion with an albumin-binding domain (ABD), were radiolabeled with 125I and intravenously injected into immunocompromised mice bearing corresponding xenografts. Results: Validation with 18F-FDG revealed similar distribution of vital tumor tissue 1 h p.i. However, large differences in tumor uptake were observed when applying the CD20-specific radiotracers 125I-Fab-ABD and 125I-Fab-PAS200 with 12.3 and 2.4 % ID/g, respectively, for Granta in comparison with 3.5 and 0.75 % ID/g, respectively, for SUDHL-4 xenografts 24 h p.i. 3D light-sheet fluorescence microscopy with Cy5-Fab-PAS200 confirmed better tracer extravasation in the Granta tumors. Moreover, dynamic contrast enhanced MRI imaging revealed significantly reduced tumor perfusion in the SUHDL-4 xenografts. Conclusion: Tracer uptake was highly dependent on local tumor perfusion as well as Fab permeation in the SUDHL-4 and Granta tumors. Thus, the SUDHL-4 xenograft offers an excellent model system to investigate the influence of therapies affecting tumor angiogenesis.
 

CIPSM Movie
LMUexcellent
TU München
MPG
Helmholtz München
MPI of Neurobiology
MPI of Biochemistry