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Updated: Aug 14, 2026

An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy
Published on: April 21, 2014
A New Systemic Disease Mouse Model for Glioblastoma Capable of Single-Tumour-Cell Detection
Thomas M B Ware1,2, Rodney B Luwor1,2,3,4, Hong-Jian Zhu1,2
1Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC 3050, Australia.
Background:
Glioblastoma is characterised by extensive infiltration into the brain parenchyma, leading to inevitable tumor recurrence and therapeutic failure. Future treatments will need to target the specific biology of tumour recurrence, but our current understanding of the underlying mechanisms is limited. Significantly, there is a lack of available methods and models that are tailored to the examination of tumour recurrence.
Methods:
NOD-SCID mice were orthotopically implanted with luciferase-labelled donor U87MG or MU20 glioblastoma cells. Four days later, an unlabelled recipient tumor was implanted on the contralateral side. The mice were euthanised at a humane end-point and tissue and blood samples were collected for ex vivo analyses.
Results:
The ex vivo analyses of the firefly-labelled MU20 tumours displayed extensive invasion at the primary tumour margins, whereas the firefly-labelled U87MG tumours exhibited expansive phenotypes with no evident invasions at the tumour margins. Luciferase signals were detected in the contralateral unlabelled recipient tumours for both the U87MG and MU20 tumours compared to the non-implanted control brain. Remarkably, tumour cells were uniformly detected in all tissue samples of the supratentorial brain region compared to the control tissue, with single tumour cells detected in some tissue samples. Circulating tumour cells were also detected in the blood samples of most of the xenografted mice. Moreover, tumour cells were detected in the lungs of all of the mice, a probable event related to haematogenous dissemination. Similar results were obtained when the U87MG cells were alternatively labelled with gaussian luciferase.
Conclusions:
These findings describe a systemic disease model for glioblastoma which can be used to investigate recurrence biology and therapeutic efficacy towards recurrence.
Insights
This study developed a novel systemic glioblastoma model in mice to investigate tumor recurrence. The model successfully detected circulating and disseminated tumor cells, offering new avenues for therapeutic research.
Area of Science:
- Neuro-oncology
- Cancer Biology
- Translational Medicine
Background:
- Glioblastoma is a highly invasive brain tumor known for frequent recurrence and treatment resistance.
- Current understanding of glioblastoma recurrence mechanisms is limited.
- There is a critical need for advanced models to study glioblastoma recurrence.
Purpose of the Study:
- To establish and validate a novel systemic glioblastoma (GBM) xenograft model in mice.
- To investigate the biological mechanisms underlying glioblastoma recurrence.
- To provide a platform for evaluating therapeutic strategies targeting recurrent glioblastoma.
Main Methods:
- Orthotopic implantation of luciferase-labeled glioblastoma cells (U87MG or MU20) into NOD-SCID mice.
- Subsequent implantation of unlabeled recipient tumors on the contralateral side.
- Ex vivo analysis of collected tissue and blood samples for tumor cell detection and dissemination.
Main Results:
- Differential invasion patterns observed between U87MG (expansive) and MU20 (invasive) glioblastoma models.
- Detection of luciferase signals in contralateral tumors, indicating tumor cell spread.
- Widespread detection of glioblastoma cells in supratentorial brain regions and circulating in blood.
- Evidence of lung metastasis, suggesting hematogenous dissemination.
Conclusions:
- The developed xenograft model effectively mimics systemic glioblastoma disease.
- This model is suitable for studying the biology of glioblastoma recurrence.
- The model provides a valuable tool for assessing the efficacy of novel anti-recurrence therapies.
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