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Published on: March 15, 2011
Gene expression profiling of meningiomas: current status after a decade of microarray-based transcriptomic studies
Mads Aarhus1, Morten Lund-Johansen, Per Morten Knappskog
1Centre for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway. mads.aarhus@me.com
Acta Neurochirurgica
|January 15, 2011
Summary
This review summarizes gene expression profiling studies in meningiomas, identifying tumor-specific genes and classification methods. Challenges remain in data standardization for uncovering universal biological pathways.
Area of Science:
- Neuro-oncology
- Genomics
- Molecular Biology
Background:
- Meningiomas are the most common primary intracranial tumors.
- Understanding meningioma gene expression is crucial for diagnosis and treatment.
- Transcriptomic profiling offers insights into tumor biology.
Purpose of the Study:
- To review existing transcriptomic expression profiling studies on meningiomas.
- To discuss future prospects and challenges in meningioma gene expression analysis.
Main Methods:
- Systematic literature search of PubMed and EMBASE databases (May 2010).
- Inclusion criteria: original research articles, English language, microarray-based gene expression profiling of meningiomas.
- Search terms included: meningioma, microarray analysis, gene expression profiling.
Main Results:
- 13 articles met the inclusion criteria, all published within the last decade.
- Studies identified meningioma-specific genes and genes associated with WHO grades and histological subtypes.
- Gene expression profiles differed in vivo and in vitro, and microarray technology showed potential for automated tumor classification.
Conclusions:
- Gene expression profiling has identified key genes and potential classification markers for meningiomas.
- Lack of standardized data presentation hinders the extraction of universal trends and discovery of core biological pathways.
- Standardization is needed to advance the understanding of meningioma biology through transcriptomic analysis.
