Toward methylation-based classification of central nervous system tumors.

Détails

ID Serval
serval:BIB_EBBD31C534C3
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Editorial
Collection
Publications
Institution
Titre
Toward methylation-based classification of central nervous system tumors.
Périodique
Neuro-oncology
Auteur⸱e⸱s
Hegi M.E., Kleihues P., Wen P.Y., Suvà M.L.
ISSN
1523-5866 (Electronic)
ISSN-L
1522-8517
Statut éditorial
Publié
Date de publication
09/04/2018
Peer-reviewed
Oui
Volume
20
Numéro
5
Pages
579-581
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Precise classification of nervous system tumors into coherent clinicopathologic entities is the necessary first step for the appropriate management of patients. While this has been traditionally performed by histopathology only, recent accelerations in our understanding of the molecular features of nervous system tumors have led to the integration of molecular characteristics into diagnostic criteria. The updated WHO 2016 classification of tumors of the central nervous system (CNS)1 thus includes both histologic and molecular features—primarily mutational status of individual genes and copy number alterations—facilitating the precise diagnosis of CNS tumors. While this has led to increased objectivity and reproducibility, classification progress is still required, especially for rare and for poorly understood entities.
Mots-clé
Biomarkers, Tumor/genetics, Central Nervous System Neoplasms/classification, Central Nervous System Neoplasms/genetics, Central Nervous System Neoplasms/pathology, DNA Methylation, Gene Expression Profiling, Humans, Prognosis
Pubmed
Web of science
Création de la notice
24/03/2018 0:51
Dernière modification de la notice
20/08/2019 17:13
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