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  The intratumoral heterogeneity reflects the intertumoral subtypes of glioblastoma multiforme: A regional immunohistochemistry analysis

Bergmann, N., Delbridge, C., Gempt, J., Feuchtinger, A., Walch, A., Schirmer, L., et al. (2020). The intratumoral heterogeneity reflects the intertumoral subtypes of glioblastoma multiforme: A regional immunohistochemistry analysis. Frontiers in Oncology, 10: 494. doi:10.3389/fonc.2020.00494.

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The Intratumoral Heterogeneity Reflects the Intertumoral Subtypes of Glioblastoma Multiforme A Regional Immunohistochemistry Analysis.pdf (Any fulltext), 2MB
 
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Bergmann, Natalie, Author
Delbridge, Claire, Author
Gempt, Jens, Author
Feuchtinger, Annette, Author
Walch, Axel, Author
Schirmer, Lucas, Author
Bunk, Wolfram, Author
Aschenbrenner, Thomas1, Author           
Liesche-Starnecker, Friederike, Author
Schlegel, Jürgen, Author
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1Theory and Complex Plasmas, MPI for Extraterrestrial Physics, Max Planck Society, ou_159894              

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 Abstract: Glioblastoma multiforme (GBM) is the most frequent and aggressive primary brain tumor in adults. Despite extensive therapy the prognosis for GBM patients remains poor and the extraordinary therapy resistance has been attributed to intertumoral heterogeneity of glioblastoma. Different prognostic relevant GBM tumor subtypes have been identified based on their molecular profile. This approach, however, neglects the heterogeneity within individual tumors, that is, the intratumoral heterogeneity. Here, we detected the regional immunoreactivity by immunohistochemistry and immunofluorescence using nine different markers on resected GBM specimens (IDH wildtype, WHO grade IV). We found repetitive expression profiles, that could be classified into clusters. These clusters could then be assigned to five pathophysiologically relevant groups that reflect the previously described subclasses of GBM, including mesenchymal, classical, and proneural subtype. Our data indicate the presence of tumor differentiations and tumor subclasses that occur within individual tumors, and might therefore contribute to develop adapted, individual-based therapies.

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Language(s): eng - English
 Dates: 2020-04-24
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fonc.2020.00494
Other: LOCALID: 3240609
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Title: Frontiers in Oncology
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Media S.A.
Pages: - Volume / Issue: 10 Sequence Number: 494 Start / End Page: - Identifier: ISSN: 2234-943X