Abstract

Abstract The fifth edition of the WHO Classification of Tumors of the Central Nervous System (CNS), published in 2021, is the sixth version of the international standard for the classification of brain and spinal cord tumors. Building on the 2016 updated fourth edition and the work of the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy, the 2021 fifth edition introduces major changes that advance the role of molecular diagnostics in CNS tumor classification. At the same time, it remains wedded to other established approaches to tumor diagnosis such as histology and immunohistochemistry. In doing so, the fifth edition establishes some different approaches to both CNS tumor nomenclature and grading and it emphasizes the importance of integrated diagnoses and layered reports. New tumor types and subtypes are introduced, some based on novel diagnostic technologies such as DNA methylome profiling. The present review summarizes the major general changes in the 2021 fifth edition classification and the specific changes in each taxonomic category. It is hoped that this summary provides an overview to facilitate more in-depth exploration of the entire fifth edition of the WHO Classification of Tumors of the Central Nervous System.

Keywords

Grading (engineering)NomenclatureCentral nervous systemMedical diagnosisBrain tumorClassification schemePathologyBiologyTaxonomy (biology)Computer scienceMedicineNeuroscienceBioinformaticsInformation retrievalZoology

MeSH Terms

BrainCentral Nervous SystemCentral Nervous System NeoplasmsHumansPathologyMolecularWorld Health Organization

Affiliated Institutions

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Publication Info

Year
2021
Type
review
Volume
23
Issue
8
Pages
1231-1251
Citations
10245
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

10245
OpenAlex
498
Influential
8836
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Cite This

David N. Louis, Arie Perry, Pieter Wesseling et al. (2021). The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro-Oncology , 23 (8) , 1231-1251. https://doi.org/10.1093/neuonc/noab106

Identifiers

DOI
10.1093/neuonc/noab106
PMID
34185076
PMCID
PMC8328013

Data Quality

Data completeness: 86%