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Sema3C Promotes the Survival and Tumorigenicity of Glioma Stem Cells through Rac1 Activation

Authors: Jianghong Man; Jocelyn Shoemake; Wenchao Zhou; Xiaoguang Fang; Qiulian Wu; Anthony Rizzo; Richard Prayson; +3 Authors

Sema3C Promotes the Survival and Tumorigenicity of Glioma Stem Cells through Rac1 Activation

Abstract

Different cancer cell compartments often communicate through soluble factors to facilitate tumor growth. Glioma stem cells (GSCs) are a subset of tumor cells that resist standard therapy to contribute to disease progression. How GSCs employ a distinct secretory program to communicate with and nurture each other over the nonstem tumor cell (NSTC) population is not well defined. Here, we show that GSCs preferentially secrete Sema3C and coordinately express PlexinA2/D1 receptors to activate Rac1/nuclear factor (NF)-κB signaling in an autocrine/paracrine loop to promote their own survival. Importantly, Sema3C is not expressed in neural progenitor cells (NPCs) or NSTCs. Disruption of Sema3C induced apoptosis of GSCs, but not NPCs or NSTCs, and suppressed tumor growth in orthotopic models of glioblastoma. Introduction of activated Rac1 rescued the Sema3C knockdown phenotype in vivo. Our study supports the targeting of Sema3C to break this GSC-specific autocrine/paracrine loop in order to improve glioblastoma treatment, potentially with a high therapeutic index.

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Keywords

rac1 GTP-Binding Protein, QH301-705.5, Carcinogenesis, Cell Survival, Cell Adhesion Molecules, Neuronal, Gene Expression, Apoptosis, Mice, Transgenic, Nerve Tissue Proteins, Receptors, Cell Surface, Semaphorins, Cell Line, Tumor, Animals, Humans, Biology (General), Cell Proliferation, Membrane Glycoproteins, Intracellular Signaling Peptides and Proteins, Enzyme Activation, Neoplastic Stem Cells, Glioblastoma, Neoplasm Transplantation

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    selected citations
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    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).
    106
    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 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!
106
Top 10%
Top 10%
Top 10%
gold