2017
DOI: 10.1186/s12885-017-3924-y
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Synergistic inhibition of tumor growth by combination treatment with drugs against different subpopulations of glioblastoma cells

Abstract: BackgroundGlioma stem cells (GSCs) contribute to tumor recurrence and drug resistance. This study characterizes the tumorigenesis of CD133+ cells and their sensitivity to pharmacological inhibition.MethodsGSCs from human U87 and rat C6 glioblastoma cell lines were isolated via magnetic cell sorting using CD133 as a cancer stem cell marker. Cell proliferation was determined using the WST-1 assay. An intracranial mouse model and bioluminescence imaging were used to assess the effects of drugs on tumor growth in … Show more

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Cited by 15 publications
(16 citation statements)
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References 36 publications
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“…In general, glioblastoma cells are resistant to chemotherapy and radiotherapy as well as to most apoptotic stimuli. However, there are many published papers showing sensitivity of glioma cells to certain small molecules in vitro .…”
mentioning
confidence: 99%
“…In general, glioblastoma cells are resistant to chemotherapy and radiotherapy as well as to most apoptotic stimuli. However, there are many published papers showing sensitivity of glioma cells to certain small molecules in vitro .…”
mentioning
confidence: 99%
“…CD133 has been reported as a marker of human neural and brain tumor stem cells (32,33). We previously have isolated cancer stem-like cells with CD133 from glioblastoma (GBM) cell lines using magnetic bead cell sorting (34). Then CD133 + and CD133 − cell populations were collected and cultured separately.…”
Section: Resultsmentioning
confidence: 99%
“…Both MNL and NS models might be used for drug screening purposes. They are capable of representing all tumor cell subclones, combining self-renewal and tumor growth properties (Figure 5b) [24]. To go further, we developed a concomitant 2D/3D culture that preserved the differentiated and stem-like subpopulations after 10 passages (Figure 5c).…”
Section: Discussionmentioning
confidence: 99%