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.

Frontiers in Oncology
|October 5, 2020
PubMed

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.