Clynch, Abigail 
ORCID: 0000-0001-8489-9137, Richardson, George E, Mustafa, Mohammad A, Gillespie, Conor S, Rathi, Nitika, Bakhsh, Ali, Zakaria, Rasheed ORCID: 0000-0001-6826-2662, Islim, Abdurrahman I, Millward, Christopher P ORCID: 0000-0001-7727-1157, Jenkinson, Michael D et al (show 1 more authors)
(2023)
Beyond the WHO classification of meningioma: using molecular diagnostics to guide management.
Advances in clinical neuroscience & rehabilitation : ACNR, 22 (2).
WVJZ9783-WVJZ9783.
ISSN 1473-9348, 2397-267X
|
Text
Beyond the WHO classification of meningioma using molecular diagnostics to guide management.pdf - Open Access published version Download (269kB) | Preview |
Abstract
Meningioma are the most common primary brain tumour. Classically, meningioma are phenotypically grouped using the World Health Organisation (WHO) classification system. However, it is now understood that the WHO approach overfits tumours into three grades, resulting in similarly graded tumours displaying phenotypically distinct behaviour. There is a growing body of research investigating the molecular biology of these tumours, including genomic, transcriptomic, metabolomic, proteomic, and methylomic profiling. Such advancements in molecular profiling of meningioma are providing greater accuracy in prognostication of tumours. Furthermore, a clearer understanding of tumour molecular biology highlights potential targets for pharmacotherapies. Currently, the routine application of in-depth tumour molecular analysis is limited, however as it becomes more widely available it will likely result in improved patient care. This review seeks to explore the important developments in meningioma molecular biology, discussed in the context of their clinical importance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 32 Biomedical and Clinical Sciences, 3202 Clinical Sciences, Brain Cancer, Human Genome, Neurosciences, Rare Diseases, Cancer, Brain Disorders, Genetics, 4.2 Evaluation of markers and technologies, Cancer |
| Divisions: | Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Systems, Molec & Integrative Biology > Inst. Systems, Molec & Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 02 Nov 2023 08:47 |
| Last Modified: | 16 Jan 2026 01:55 |
| DOI: | 10.47795/wvjz9783 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3176570 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
Altmetric
Altmetric