umu.sePublications
Change search
ReferencesLink to record
Permanent link

Direct link
Subtyping of gliomas of various WHO grades by the application of immunohistochemistry.
Show others and affiliations
2014 (English)In: Histopathology, ISSN 0309-0167, E-ISSN 1365-2559, Vol. 64, no 3Article in journal (Refereed) Published
Abstract [en]

AIMS: In 2010, four subtypes (classical, proneural, mesenchymal, and neural) of glioblastoma multiforme (GBM) were defined by molecular genetic analyses. The objective of this study was to assess whether gliomas, independently of the type and grade, could be subdivided into protein-based subtypes.

METHODS AND RESULTS: A tissue microarray (TMA) approach was applied to incorporate tissue samples of low-grade and high-grade gliomas into five TMAs. High expression levels of epidermal growth factor receptor (EGFR), CD44, c-MER proto-oncogene tyrosine kinase (MERTK), platelet-derived growth factor receptor α, p53, oligodendrocyte transcription factor 2 (OLIG2) and isocitrate dehydrogenase 1 with the R132H mutation were assessed using immunohistochemistry (IHC). Glioma could be subdivided into four subtypes by IHC. The majority of the low-grade gliomas were of the proneural subtype, i.e. high p53 expression (63% of grade II). The classical subtype, with high EGFR and low p53 expression, was most common in GBMs (39%), followed by the proneural (29%) and mesenchymal (with high CD44 and MERTK expression) (29%) subtypes, a frequency that is in line with previously published data based on molecular genetics.

CONCLUSIONS: Assessment of the expression of the five proteins EGFR, CD44, MERTK, p53 and OLIG2 is sufficient for subtyping gliomas, and can be recommended for implementation in clinical practice for both low-grade and high-grade gliomas.

Place, publisher, year, edition, pages
2014. Vol. 64, no 3
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:umu:diva-120026DOI: 10.1111/his.12252PubMedID: 24410805OAI: oai:DiVA.org:umu-120026DiVA: diva2:926214
Available from: 2016-05-04 Created: 2016-05-04 Last updated: 2016-05-04

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed
In the same journal
Histopathology
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 8 hits
ReferencesLink to record
Permanent link

Direct link