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Cell Cycle
Article
Data sources: UnpayWall
Cell Cycle
Article . 2009 . Peer-reviewed
Data sources: Crossref
Cell Cycle
Article . 2009
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The ABCG2 resistance network of glioblastoma

Authors: Anne-Marie, Bleau; Jason T, Huse; Eric C, Holland;

The ABCG2 resistance network of glioblastoma

Abstract

Glioblastoma multiforme (GBM) is the most common and lethal primary brain tumor variant. It exhibits heterogeneity at both the morphologic and genetic levels, with a complex combination of somatic alterations rendering the tumor class difficult to adequately treat. The role of so-called "cancer stem-cells" (CSCs) in the resistance of high-grade gliomas like GBM to conventional treatment regimens has received much recent attention, especially with regard to the enhanced ability of stem-like cells to activate survival pathways, repair DNA damage, and expel cytotoxic drugs. Furthermore, the biology of GBM is actually even more convoluted, characterized by a constantly changing microenvironment that greatly influences tumor growth and response to therapy. Herein we review the most recently reported genetic events in human glioma patients and their influence on treatment response, particularly in relation to O6-methylguanine-DNA methyltransferase methylation status. We aim to present evidence for a role for cancer stem-like cells and their unique microenvironment in therapy resistance and forward our views on glioma initiation and origin. Finally, given the recent interest in "side population" (SP) cells as a model of CSCs in gliomagenesis, we further describe the function of ABCG2 transporters, the mediators of the SP phenotype, at both the blood-brain barrier and in stem-like tumor cells.

Related Organizations
Keywords

Blood-Brain Barrier, Drug Resistance, Neoplasm, Neoplastic Stem Cells, ATP Binding Cassette Transporter, Subfamily G, Member 2, Humans, ATP-Binding Cassette Transporters, Glioblastoma, Neoplasm Proteins

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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).
    126
    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.
    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).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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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!
126
Top 10%
Top 10%
Top 1%
bronze
Related to Research communities
Cancer Research