Molecular pathology of tumors of the central nervous system

B W Kristensen1, L P Priesterbach-Ackley2, J K Petersen1

  • 1Department of Pathology, Odense University Hospital, Odense; Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

Insights

The 2016 WHO CNS tumor classification integrates molecular markers for precise diagnosis of diffuse gliomas and embryonal tumors. This advances personalized treatment strategies for central nervous system neoplasms.

Area of Science:

  • Neuro-oncology
  • Molecular Pathology
  • Genetics

Background:

  • The 2016 WHO Classification of Central Nervous System (CNS) Tumors integrated molecular features into tumor definitions.
  • This histo-molecular approach significantly improved diagnostic precision, particularly for diffuse gliomas and embryonal CNS tumors.

Purpose of the Study:

  • To review key diagnostic and prognostic molecular markers for primary CNS tumors.
  • To highlight advancements in CNS tumor diagnosis and their impact on therapeutic strategies.

Main Methods:

  • Review of current literature on CNS tumor molecular classification.
  • Discussion of diagnostic markers including IDH1/IDH2 mutations, 1p/19q codeletion, histone H3 gene mutations, and WNT/SHH pathway activation in medulloblastomas.
  • Exploration of immunohistochemistry and genome-wide methylation profiling as diagnostic tools.

Main Results:

  • Specific molecular markers like IDH mutations and 1p/19q codeletion are crucial for diffuse glioma classification.
  • Medulloblastomas are categorized into four distinct molecular subgroups (WNT, SHH-TP53-mutant, SHH-TP53-wildtype, non-WNT/non-SHH).
  • Other CNS tumors like ependymoma, AT/RT, and solitary fibrous tumors also benefit from molecular characterization.

Conclusions:

  • Molecular profiling has revolutionized CNS tumor diagnosis, enabling more precise classification.
  • These advancements facilitate the development of targeted and more effective therapies for CNS tumors.
  • Continued integration of molecular data promises further improvements in patient outcomes.

Related Concept Videos