DNA methylation profiling in central nervous system tumours

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.