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Neurotherapeutics· 2026Q1· Review

“Updates on diagnostic and prognostic molecular biomarkers of CNS tumors”

Shane Eaton, Ahmad Almotairi, Adrian Levine, Cynthia Hawkins

Short summary

DNA methylation profiling and new genomic alterations are refining CNS tumor classification, prognosis, and treatment selection across major tumor types, moving beyond traditional histology.

AI-generated from the title and abstract; the full text is not read.

Key points

  • DNA methylation profiling is now a key tool for classifying, subgrouping, and grading CNS tumors.
  • New molecular alterations have refined grading and clarified boundaries between diffuse glioma types.
  • Methylation profiling defines clinically meaningful subgroups in ependymomas, medulloblastomas, and other CNS tumors.
  • Mismatch repair-deficient gliomas and fusion-driven tumors add complexity to CNS tumor taxonomy.

AI-generated from the title and abstract; the full text is not read.

Abstract

The diagnosis and classification of central nervous system (CNS) tumors has undergone a paradigm shift over the past decade, evolving from a purely histology-based approach to an integrated framework that incorporates molecular and epigenetic features. This review summarizes recent updates in key genomic and epigenomic biomarkers across major CNS tumor categories, with a focus on their diagnostic, prognostic, and therapeutic implications. DNA methylation profiling has emerged as a valuable tool for tumor classification, subgrouping, and grading, complementing traditional histopathologic assessment. Across diffuse gliomas, newly characterized molecular alterations have refined grading criteria and clarified the boundaries between tumor types, including important caveats about the use of individual molecular features as sole diagnostic criteria. In ependymomas, medulloblastomas, atypical teratoid/rhabdoid tumors, meningiomas, pineal tumors, and embryonal tumors, methylation profiling now defines biologically and clinically meaningful subgroups that inform risk stratification and treatment selection. The emerging recognition of mismatch repair-deficient gliomas and fusion-driven tumor entities further underscores the expanding complexity of CNS tumor taxonomy. As molecular technologies continue to advance, the integration of genomic, epigenomic, histopathologic, and clinical data will be essential to improving diagnostic precision, guiding therapy, and ultimately enhancing patient outcomes.

The authors' abstract, as published at the source. Neurotherapeutics, 2026 · DOI ↗

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Field: Genetics (Medicine)

GeneticsMedicine