Distinct DNA Methylation Patterns of Subependymal Giant Cell Astrocytomas in Tuberous Sclerosis Complex

Anika Bongaarts1, Caroline Mijnsbergen1, Jasper J Anink1

  • 1Department of Neuro Pathology, Amsterdam UMC, Location AMC, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, The Netherlands.

Insights

Tuberous sclerosis complex (TSC) brain tumors (SEGAs) show altered DNA methylation in immune response and MAPK pathways. Two distinct SEGA subgroups were identified, potentially predicting treatment response.

Area of Science:

  • Neuro-oncology
  • Epigenetics
  • Immunology

Background:

  • Tuberous sclerosis complex (TSC) is a genetic disorder causing brain tumors called subependymal giant cell astrocytomas (SEGAs).
  • Gene expression studies suggest immune system, MAPK pathway, and extracellular matrix roles in SEGA development.
  • The underlying molecular mechanisms, particularly DNA methylation, remain largely unknown.

Purpose of the Study:

  • To investigate the DNA methylation profile of SEGAs.
  • To identify potential epigenetic alterations driving SEGA development.
  • To explore methylation-based subgroups within SEGAs for therapeutic insights.

Main Methods:

  • Utilized Illumina Infinium HumanMethylation450 BeadChip arrays.
  • Analyzed DNA methylation data from 42 SEGAs and 8 control samples.
  • Performed bioinformatic analysis to identify enriched pathways and subgroups.

Main Results:

  • SEGA methylation profiles were significantly enriched in adaptive immune system, T cell activation, leukocyte immunity, extracellular matrix organization, and the ERK1/ERK2 cascade.
  • Two distinct methylation subgroups within SEGAs were identified.
  • Genes differentially expressed between subgroups were associated with the MAPK cascade and adaptive immune response.

Conclusions:

  • DNA methylation significantly impacts the immune system, MAPK pathway, and extracellular matrix organization in SEGAs.
  • Identified SEGA subgroups driven by adaptive immune response and MAPK pathway alterations may offer predictive value for treatment response.
  • Suggests potential for DNA-level therapeutic interventions targeting these pathways in SEGA.

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