Mismatch between Bioluminescence Imaging (BLI) and MRI When Evaluating Glioblastoma Growth: Lessons from a Study Where BLI Suggested “Regression” while MRI Showed “Progression”

Author:

Bausart Mathilde1ORCID,Bozzato Elia1ORCID,Joudiou Nicolas2ORCID,Koutsoumpou Xanthippi3,Manshian Bella3,Préat Véronique1,Gallez Bernard4ORCID

Affiliation:

1. Advanced Drug Delivery and Biomaterials (ADDB) Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium

2. Nuclear and Electron Spin Technologies (NEST) Platform, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium

3. Department of Imaging and Pathology, Translational Cell and Tissue Research Unit, Katholiek Universiteit Leuven (KULeuven), 3000 Leuven, Belgium

4. Biomedical Magnetic Resonance (REMA) Research Group, Louvain Drug Research Institute, Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium

Abstract

Orthotopic glioblastoma xenografts are paramount for evaluating the effect of innovative anti-cancer treatments. In longitudinal studies, tumor growth (or regression) of glioblastoma can only be monitored by noninvasive imaging. For this purpose, bioluminescence imaging (BLI) has gained popularity because of its low cost and easy access. In the context of the development of new nanomedicines for treating glioblastoma, we were using luciferase-expressing GL261 cell lines. Incidentally, using BLI in a specific GL261 glioblastoma model with cells expressing both luciferase and the green fluorescent protein (GL261-luc-GFP), we observed an apparent spontaneous regression. By contrast, the magnetic resonance imaging (MRI) analysis revealed that the tumors were actually growing over time. For other models (GL261 expressing only luciferase and U87 expressing both luciferase and GFP), data from BLI and MRI correlated well. We found that the divergence in results coming from different imaging modalities was not due to the tumor localization nor the penetration depth of light but was rather linked to the instability in luciferase expression in the viral construct used for the GL261-luc-GFP model. In conclusion, the use of multi-modality imaging prevents possible errors in tumor growth evaluation, and checking the stability of luciferase expression is mandatory when using BLI as the sole imaging modality.

Funder

Fund for Scientific Research

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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