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Journal of Cancer Research and Clinical Oncology
Article . 2021 . Peer-reviewed
License: CC BY
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Differential expression of stem cell markers in proliferating cells in glioma

Authors: Marten Rehfeld; Jakob Matschke; Christian Hagel; Kerstin Willenborg; Markus Glatzel; Christian Bernreuther;

Differential expression of stem cell markers in proliferating cells in glioma

Abstract

Abstract Purpose The identification of prognostically and therapeutically relevant molecular markers is fundamental to the further development of personalised therapies in brain tumours. Current therapeutic options for the treatment of gliomas rely mainly on surgical resection and the inhibition of tumour cell proliferation by irradiation and chemotherapy. Glioma stem cells are a subpopulation of proliferating tumour cells that have self-renewal capacity and can give rise to heterogeneous cells that comprise the tumour and are thought to play a role in the resistance of gliomas to therapy. The aim of this study was to evaluate the expression of markers of glioma stem cells and differentiated glial cells in proliferating glioma cells in comparison to the overall expression of the respective markers in the tumour tissue. Methods Tissue microarrays were assembled from specimen of pilocytic astrocytoma, diffuse astrocytoma, anaplastic astrocytoma, glioblastoma, oligodendroglioma, anaplastic oligodendroglioma, ependymoma, and anaplastic ependymoma. These were immunohistochemically double stained with antibodies against the proliferation-associated antigen Ki67 and marker proteins for glioma stem cells (CD133, Nestin, Musashi, CD15, CD44), and differentiated glioma cells (GFAP, MAP2c). Results The expression of both glial and glioma stem cell markers differs between proliferating and non-proliferating glioma cells. Furthermore, the proliferating cells in the different glial tumour entities show a different expression profile. Conclusion Further analysis of marker expression in proliferating glioma cells and correlation with clinical outcome and susceptibility to irradiation and chemotherapy might help establish new biomarkers and therapies for glioma.

Keywords

Brain Neoplasms, Lewis X Antigen, RNA-Binding Proteins, Nerve Tissue Proteins, Glioma, Gene Expression Regulation, Neoplastic, Nestin, Hyaluronan Receptors, Gene Expression Regulation, Neoplastic [MeSH] ; Glioma ; Lewis X Antigen/metabolism [MeSH] ; Cell Proliferation [MeSH] ; Glioma/metabolism [MeSH] ; Original Article – Cancer Research ; Neoplastic Stem Cells/pathology [MeSH] ; RNA-Binding Proteins/metabolism [MeSH] ; Humans [MeSH] ; Nerve Tissue Proteins/metabolism [MeSH] ; Nestin/metabolism [MeSH] ; AC133 Antigen/metabolism [MeSH] ; Hyaluronan Receptors/metabolism [MeSH] ; Stem cells ; Expression profile ; Neoplastic Stem Cells/metabolism [MeSH] ; Glioblastoma ; Glioma/pathology [MeSH] ; Biomarkers, Tumor/metabolism [MeSH] ; Proliferating cells ; Ki67 ; Brain Neoplasms/metabolism [MeSH] ; Brain Neoplasms/pathology [MeSH], Biomarkers, Tumor, Neoplastic Stem Cells, Humans, AC133 Antigen, Original Article – Cancer Research, Cell Proliferation

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
Green
hybrid