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Related Concept Videos

Epigenetic Regulation01:46

Epigenetic Regulation

Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
Epigenetic Regulation01:37

Epigenetic Regulation

Epigenetic changes alter the physical structure of the DNA without changing the genetic sequence and often regulate whether genes are turned on or off. This regulation ensures that each cell produces only proteins necessary for its function. For example, proteins that promote bone growth are not produced in muscle cells. Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
X-chromosome...

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Methyl-binding DNA capture Sequencing for Patient Tissues
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DNA methylation profiling in central nervous system tumours.

Yosef Ellenbogen1, Muhammed Amir Essibayi2,3, Leeor S Yefet4

  • 1Neurosurgery, University Health Network, Toronto, Ontario, Canada.

Journal of Neurology, Neurosurgery, and Psychiatry
|April 15, 2026
PubMed
Summary

DNA methylation profiling is revolutionizing central nervous system (CNS) tumor classification and management. This epigenetic approach enhances diagnostic accuracy, risk stratification, and outcome prediction for CNS tumors.

Keywords:
MOLECULAR BIOLOGYNEUROONCOLOGY

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Area of Science:

  • Neuro-oncology
  • Epigenetics
  • Genomics

Background:

  • Central nervous system (CNS) tumor classification has evolved significantly, incorporating molecularly defined entities.
  • Histopathology and targeted molecular testing are standard, but limitations exist in capturing comprehensive tumor biology.
  • DNA methylation profiling offers an epigenetic framework for tumor classification and management.

Purpose of the Study:

  • To review the current applications of DNA methylation profiling in CNS tumor diagnosis and management.
  • To explore the impact of epigenetic profiling on diagnostic precision, risk stratification, and outcome prediction.
  • To discuss emerging technologies and implementation frameworks for integrating DNA methylation profiling into neuro-oncology.

Main Methods:

  • Genome-wide DNA methylation profiling.
  • Integration of multi-omic data.
  • Computational inference from clinical data.

Main Results:

  • Methylation profiling improves diagnostic accuracy and resolves biologically heterogeneous CNS tumor entities.
  • Epigenetic approaches enhance clinically meaningful risk stratification across various CNS tumors.
  • Applications extend to outcome prediction, liquid biopsy, and resolving challenging diagnostic cases.

Conclusions:

  • DNA methylation profiling is a powerful tool complementing traditional methods in CNS tumor diagnostics.
  • Its integration enhances precision, risk assessment, and personalized treatment strategies in neuro-oncology.
  • Ongoing technological advancements and evolving practice models are expanding the clinical utility of epigenetic profiling.