Journal article
Morphologic and Molecular Aspects of Glioblastomas
Neurosurgery clinics of North America, Vol.32(2), pp.149-158
04/2021
DOI: 10.1016/j.nec.2021.01.001
PMID: 33781498
Abstract
The definition of glioblastomas has continually evolved from a reliance on strict morphologic features to a combination of histologic and molecular criteria, as the understanding of the genetic basis of these tumors expands. Modern pathologic workup of glioblastomas includes intraoperative evaluations with tissue-sparing techniques, histologic assessment with immunohistochemical markers, and comprehensive molecular characterization aiming at personalized targeting of genetic abnormalities. Machine learning analysis of DNA methylation profiles is a breakthrough technology that has bolstered central nervous system tumor classification and discovery and is particularly beneficial for the diagnosis and subtyping of glioblastomas.
Details
- Title: Subtitle
- Morphologic and Molecular Aspects of Glioblastomas
- Creators
- Osorio Lopes Abath Neto - National Institutes of HealthKenneth Aldape - National Institutes of Health
- Resource Type
- Journal article
- Publication Details
- Neurosurgery clinics of North America, Vol.32(2), pp.149-158
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.nec.2021.01.001
- PMID
- 33781498
- ISSN
- 1042-3680
- eISSN
- 1558-1349
- Language
- English
- Date published
- 04/2021
- Academic Unit
- Pathology
- Record Identifier
- 9984277267102771
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