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Notch Pathway Blockade in Human Glioblastoma Stem Cells Defines Heterogeneity and Sensitivity to Neuronal Lineage Commitment

Glioblastoma is the commonest form of brain neoplasm and among the most malignant forms of cancer. The identification of a subpopulation of self-renewing and multipotent cancer stem cells within glioblastoma has revealed a novel cellular target for the treatment of this disease. The
role of developmental cell signaling pathways in these cell populations remains poorly understood. Herein, we examine the role of the Notch signaling pathway in glioblastoma stem cells. In this thesis we have demonstrated that the canonical Notch pathway is active in glioblastoma stem cells and functions to inhibit neuronal lineage commitment in a subset of patient derived glioblastoma stem cells in vitro. Gamma
secretase (γ-secretase) small molecule inhibitors or dominant-negative co-activators inhibit glioblastoma stem cell proliferation and induce neuronal lineage commitment in a fashion that synergizes with Wingless pathway activation via GSK-3β blockade. Our data suggest that subsets
of patient samples show a Notch gene expression profile that predicts their abilities to undergo neuronal lineage differentiation in response to γ-secretase small molecule inhibitors. Additionally, the data suggests that Notch may perturb the relative fractions of cells undergoing
symmetric division, in favour of asymmetric division, limiting clonal expansion from single cells. These data may have important implications for treating human glioblastoma, and suggest that in addition to
inhibition of proliferation, influencing lineage choice of the tumor stem cells may be a mechanism by which these tumors may be
pharmacologically inhibited.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OTU.1807/44086
Date20 March 2014
CreatorsLing, Erick
ContributorsDirks, Peter
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Languageen_ca
Detected LanguageEnglish
TypeThesis

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