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Updated: May 23, 2026
An Orthotopic Glioblastoma Mouse Model Maintaining Brain Parenchymal Physical Constraints and Suitable for Intravital Two-photon Microscopy
Published on: April 21, 2014
Biology, genetics and imaging of glial cell tumours
C Walker1, A Baborie, D Crooks
1The Walton Centre for Neurology and Neurosurgery, Liverpool, UK. Carol.Walker@thewaltoncentre.nhs.uk
Abstract:
Despite advances in therapy, gliomas remain associated with poor prognosis. Clinical advances will be achieved through molecularly targeted biological therapies, for which knowledge of molecular genetic and gene expression characteristics in relation to histopathology and in vivo imaging are essential. Recent research supports the molecular classification of gliomas based on genetic alterations or gene expression profiles, and imaging data supports the concept that molecular subtypes of glioma may be distinguished through non-invasive anatomical, physiological and metabolic imaging techniques, suggesting differences in the baseline biology of genetic subtypes of infiltrating glioma. Furthermore, MRI signatures are now being associated with complex gene expression profiles and cellular signalling pathways through genome-wide microarray studies using samples obtained by image guidance which may be co-registered with clinical imaging. In this review we describe the pathobiology, molecular pathogenesis, stem cells and imaging characteristics of gliomas with emphasis on astrocytomas and oligodendroglial neoplasms.
Insights
Gliomas have a poor prognosis despite therapy. Molecular classification and advanced imaging techniques are crucial for developing targeted therapies and improving patient outcomes for these brain tumors.
Area of Science:
- Neuro-oncology
- Molecular Genetics
- Medical Imaging
Background:
- Gliomas are aggressive brain tumors with poor prognoses despite therapeutic advancements.
- Understanding molecular and genetic characteristics is key to developing targeted therapies.
- Histopathology, gene expression, and in vivo imaging are essential for glioma classification.
Purpose of the Study:
- To review the pathobiology, molecular pathogenesis, stem cells, and imaging characteristics of gliomas.
- To emphasize the importance of molecular classification and advanced imaging in glioma research.
- To highlight the potential for non-invasive imaging techniques to distinguish molecular glioma subtypes.
Main Methods:
- Review of recent research on glioma molecular classification based on genetic alterations and gene expression profiles.
- Analysis of imaging data, including anatomical, physiological, and metabolic techniques, to correlate with glioma subtypes.
- Integration of genome-wide microarray studies with image-guided sample acquisition and co-registration with clinical imaging.
Main Results:
- Molecular classification of gliomas is supported by genetic alterations and gene expression profiles.
- Imaging data suggests that molecular subtypes of glioma can be distinguished non-invasively.
- MRI signatures are increasingly associated with complex gene expression profiles and cellular signaling pathways.
Conclusions:
- Molecularly targeted therapies are essential for clinical advances in glioma treatment.
- Non-invasive imaging techniques hold promise for identifying and characterizing distinct glioma molecular subtypes.
- Further research integrating molecular and imaging data will improve understanding and treatment of gliomas, particularly astrocytomas and oligodendroglial neoplasms.
