Methylation profiling in the contemporary management of meningioma.

J Neurooncol

Princess Margaret Cancer Centre, MacFeeters Hamilton Neuro-Oncology Program, University Health Network and University of Toronto, Toronto, ON, Canada.

Published: December 2024

AI Article Synopsis

  • Advances in understanding meningioma have highlighted the importance of DNA methylation profiling for better classification and outcome prediction.
  • Modern tools for biological classification and outcome prediction show effectiveness and potential in enhancing patient care.
  • Widespread implementation of methylation profiling is essential for personalizing treatment and improving clinical trial designs in meningioma management.

Article Abstract

Background: The last decade has seen major international research efforts focus on better understanding disease heterogeneity in meningioma. Multiple molecular platforms have generated significant biological and clinical utility, and there is a need to translate these findings into routine clinical practice. Here we review the role of DNA methylation profiling in meningioma and advocate for its widespread adoption.

Methods: We review modern DNA methylation-based classification and outcome prediction tools in meningioma. Biological classifiers, which were constructed agnostic to outcome using unsupervised approaches, outcome predictors, and liquid biopsy models are discussed in detail.

Results: DNA methylation has been used for biological classification and outcome in meningioma with considerable success. Several groups have proposed novel molecular classification systems which share similar features with one another and outperform WHO grade in their ability to predict outcome and explain subgroup-specific biological processes. In addition, recent studies have suggested a role for methylation-based liquid-biopsy in meningioma, which represents an exciting avenue for further exploration.

Conclusions: DNA methylation profiling has been revolutionary in meningioma. There is a need for widespread adoption of these approaches to personalize care and inform clinical trial design.

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Source
http://dx.doi.org/10.1007/s11060-024-04825-wDOI Listing

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