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Updated: Jun 19, 2026

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
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Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

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Microarray gene expression profiling in meningiomas: differential expression according to grade or histopathological

Michelle Fèvre-Montange1, Jacques Champier, Anne Durand

  • 1INSERM U842, Université de Lyon, Lyon, France. michelle.montange@inserm.fr

International Journal of Oncology
|November 4, 2009
PubMed
Summary

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This study used microarray analysis to identify gene expression patterns in meningiomas. Findings may help predict which benign meningiomas will recur, aiding neurosurgeon patient follow-up.

Area of Science:

  • Neuro-oncology
  • Genomics
  • Molecular Biology

Background:

  • Meningiomas are common intracranial tumors, typically benign but with potential for malignancy.
  • Current classification relies on histopathology, but molecular signatures for grading and predicting recurrence are needed.
  • Prognostic factors for meningioma aggressiveness and recurrence are not fully understood.

Purpose of the Study:

  • To distinguish between different grades and histopathological subtypes of meningiomas using microarray transcriptomic analysis.
  • To identify molecular signatures associated with meningioma malignancy and recurrence.
  • To discover candidate genes and pathways for better understanding meningioma behavior.

Main Methods:

  • Microarray transcriptomic study on 17 meningiomas of varying malignancy.

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  • Utilized CodeLink Uniset Human Whole Genome Bioarrays.
  • Employed unsupervised hierarchical clustering for data analysis.

    • Main Results:

    • Hierarchical clustering grouped meningiomas by World Health Organization grade, with some benign tumors showing atypical features.
    • Upregulation of cell adhesion, division, and signal transduction genes observed in higher-grade tumors.
    • Downregulation of tumor suppressor and cell adhesion genes noted in atypical and anaplastic meningiomas.
    • Specific gene signatures identified for fibroblastic and meningothelial meningioma subtypes.

    Conclusions:

    • Microarray analysis reveals distinct molecular profiles correlating with meningioma grades.
    • Identified candidate genes and pathways may improve understanding of meningioma recurrence.
    • Results could aid in predicting which benign meningiomas may recur, informing clinical follow-up strategies.