10 - Neuronal and Glioneuronal Neoplasms

Daniel J. Brat*, Arie Perry

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

While the vast majority of primary parenchymal tumors of the central nervous system are gliomas, there are a small but growing number of tumor types with neuronal differentiation. Some of the tumors in this category can have a pure neuronal differentiation pattern (e.g., gangliocytoma and central neurocytoma), while others have a mixed glial and neuronal phenotype (e.g., ganglioglioma and papillary glioneuronal tumor). Neuronal and glioneuronal tumors are recognized primarily by their clinical, radiologic, and histologic properties, but they also have characteristic immunohistochemical profiles and signature molecular genetic alterations. Most of these tumors in this category are circumscribed and have indolent clinical behavior compared to the diffusely infiltrative gliomas.

Original languageEnglish (US)
Title of host publicationPractical Surgical Neuropathology
Subtitle of host publicationA Diagnostic Approach A Volume in the Pattern Recognition Series
PublisherElsevier Inc
Pages183-217
Number of pages35
ISBN (Print)9780323449410
DOIs
StatePublished - Jan 1 2018

Keywords

  • Central neurocytoma
  • Cerebellar liponeurocytoma
  • Desmoplastic infantile astrocytoma/ganglioglioma
  • Diffuse leptomeningeal glioneuronal tumor
  • Dysembryoplastic neuroepithelial tumor
  • Dysplastic gangliocytoma
  • Gangliocytoma
  • Ganglioglioma
  • Hypothalamic hamartoma
  • Lhermitte-Duclos disease
  • Papillary glioneuronal tumor
  • Rosette-forming glioneuronal tumor

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint Dive into the research topics of '10 - Neuronal and Glioneuronal Neoplasms'. Together they form a unique fingerprint.

  • Cite this

    Brat, D. J., & Perry, A. (2018). 10 - Neuronal and Glioneuronal Neoplasms. In Practical Surgical Neuropathology: A Diagnostic Approach A Volume in the Pattern Recognition Series (pp. 183-217). Elsevier Inc. https://doi.org/10.1016/B978-0-323-44941-0.00010-2