Molecular diagnostic tools for the World Health Organization (WHO) 2021 classification of gliomas, glioneuronal and neuronal tumors; an EANO guideline

authors

  • Sahm Felix
  • Brandner Sebastian
  • Bertero Luca
  • Capper David
  • French Pim
  • Figarella‑branger Dominique
  • Giangaspero Felice
  • Haberler Christine
  • Hegi Monika
  • Kristensen Bjarne
  • Kurian Kathreena
  • Preusser Matthias
  • Tops Bastiaan
  • van den Bent Martin
  • Wick Wolfgang
  • Reifenberger Guido
  • Wesseling Pieter

document type

ART

abstract

Abstract In the 5th edition of the WHO CNS tumor classification (CNS5, 2021), multiple molecular characteristics became essential diagnostic criteria for many additional CNS tumor types. For those tumors, an integrated, ‘histomolecular’ diagnosis is required. A variety of approaches exists for determining the status of the underyling molecular markers. The present guideline focuses on the methods that can be used for assessment of the currently most informative diagnostic and prognostic molecular markers for the diagnosis of gliomas, glioneuronal and neuronal tumors. The main characteristics of the molecular methods are systematically discussed, followed by recommendations and information on available evidence levels for diagnostic measures. The recommendations cover DNA and RNA next-generation-sequencing, methylome profiling, and select assays for single/limited target analysis, including immunohistochemistry. Additionally, because of its importance as a predictive marker in IDH-wildtype glioblastomas, tools for the analysis of MGMT promoter status are covered. A structured overview of the different assays with their characteristics, especially their advantages and limitations, is provided, and requirements for input material and reporting of results are clarified. General aspects of molecular diagnostic testing regarding clinical relevance, accessibility, cost, implementation, regulatory and ethical aspects are discussed as well. Finally, we provide an outlook on new developments in the landscape of molecular testing technologies in neuro-oncology.

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