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Continuous Fluorescence-Based Endonuclease-Coupled DNA Methylation Assay to Screen for DNA Methyltransferase Inhibitors
Published on: August 5, 2022
Is DNA Methylation a Ray of Sunshine in Predicting Meningioma Prognosis?
Lu Shen1, Danfeng Lin1, Lu Cheng2
1Department of Surgical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Abstract:
Meningioma is the most common intracranial tumor, and recent studies have drawn attention to the importance of further research on malignant meningioma. According to the World Health Organization (WHO) grading, meningioma is classified into 15 subtypes with three grades of malignancy. However, due to a lack of descriptions of molecular subtypes, genetic mutations, or other features, there were deficiencies in the WHO classification. The DNA methylation-based meningioma classification published in 2017 used DNA copy number analysis, mutation profiling, and RNA sequencing to distinguish six clinically relevant methylation classes, which contributed to a better prediction of tumor recurrence and prognosis. Further studies indicated that gene variation and gene mutations, such as those in neurofibromin 2 (NF2) and BRCA1, were related to the high WHO grade, malignant invasion, and recurrence. Among the mutant genes described above, some have been associated with differential DNA methylation. Herein, we searched for articles published in PubMed and Web of Science from January 2000 to May 2020 by entering the keywords "meningioma," "methylation," and "gene mutation," and found a number of published studies that analyzed DNA methylation in meningiomas. In this review, we summarize the key findings of recent studies on methylation status and genetic mutations of meningioma and discuss the current deficits of the WHO grading. We also propose that a methylation-based meningioma classification could provide clues in the assessment of individual risk of meningioma recurrence, which is associated with clinical benefits for patients.
Insights
Meningioma classification needs improvement beyond WHO grading. DNA methylation analysis combined with gene mutation profiling offers a more accurate way to predict tumor recurrence and patient prognosis.
Area of Science:
- Neuro-oncology
- Genomics
- Epigenetics
Background:
- Meningioma is the most common primary intracranial tumor.
- Current World Health Organization (WHO) grading lacks molecular details, limiting prognostic accuracy.
- Malignant meningioma requires further research for better patient outcomes.
Purpose of the Study:
- To review recent findings on DNA methylation and gene mutations in meningioma.
- To highlight the limitations of the current WHO classification system.
- To propose a methylation-based classification for improved risk assessment.
Main Methods:
- Systematic literature search of PubMed and Web of Science (Jan 2000 - May 2020).
- Keywords: "meningioma," "methylation," "gene mutation."
- Review of studies analyzing DNA methylation status and genetic mutations in meningiomas.
Main Results:
- DNA methylation-based classification identified six clinically relevant classes, improving recurrence prediction.
- Gene mutations (e.g., NF2, BRCA1) correlate with higher WHO grades and recurrence.
- Some gene mutations are associated with differential DNA methylation patterns.
Conclusions:
- A DNA methylation-based classification system for meningioma offers superior prognostic value compared to WHO grading.
- Integrating methylation and mutation data can enhance individual risk assessment for meningioma recurrence.
- This approach holds potential for significant clinical benefits for patients.
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