DNA Methylation Associates With Clinical Courses of Atypical Meningiomas: A Matched Case-Control Study

Matthias Millesi1,2, Alice Senta Ryba1,2, Johannes A Hainfellner2,3

  • 1Department of Neurosurgery, Medical University of Vienna, Vienna, Austria.

Frontiers in Oncology
|March 31, 2022
PubMed
Abstract

Insights

DNA methylation profiles reveal distinct clusters in WHO grade II meningiomas, differentiating aggressive tumors from benign ones. This may aid in predicting meningioma recurrence and guiding treatment decisions.

Area of Science:

  • Neuro-oncology
  • Molecular Biology
  • Genomics

Background:

  • WHO grade II meningiomas (15-20% of all meningiomas) have intermediate recurrence risk, with variable clinical courses.
  • Distinct DNA methylation profiles have shown promise in classifying meningioma biological behavior.
  • Understanding these profiles is crucial for predicting recurrence and optimizing treatment.

Purpose of the Study:

  • To investigate DNA methylation profiles in WHO grade II meningiomas.
  • To identify methylation patterns associated with aggressive tumor recurrence.
  • To explore the potential of DNA methylation for prognostic stratification.

Main Methods:

  • Retrospective analysis of 11 patients with ≥2 recurrences (dismal group) and 11 matched controls without recurrence (benign group).
  • DNA methylation assessment using the Infinium Methylation EPIC BeadChip microarray.
  • Unsupervised hierarchical clustering to identify methylation profiles linked to dismal clinical course.

Main Results:

  • DNA methylation profiling identified 3 distinct clusters.
  • One cluster comprised exclusively dismal group patients; another mainly benign group patients.
  • Differential methylation patterns were associated with Wnt and cadherin signaling pathways.

Conclusions:

  • DNA methylation clustering revealed significant differences between matched WHO grade II meningioma subgroups.
  • Methylation profiles show potential for improving prognostic accuracy for meningioma recurrence.
  • These findings may inform radiotherapeutic treatment allocation post-surgery.