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Brain Cancer Stem Cells Display Preferential Sensitivity to Akt Inhibition
Open accessAbstract
Malignant brain tumors are among the most lethal cancers, and conventional therapies are largely limited to palliation. Novel therapies targeted against specific molecular pathways may offer superior efficacy and less toxicity than conventional therapies, but initial clinical trials of molecular targeted agents in brain cancer therapy have been frequently disappointing. In brain tumors and other cancers, subpopulations of tumor cells have recently been characterized by their ability to self-renew and initiate tumors. Although these cancer stem cells, or tumor initiating cells, are often only present in small numbers in human tumors, mounting evidence suggests that cancer stem cells contribute to tumor maintenance and therapeutic resistance. Thus, the development of therapies that target cancer stem cell signal transduction and biology may improve brain tumor patient survival. We now demonstrate that populations enriched for cancer stem cells are preferentially sensitive to an inhibitor of Akt, a prominent cell survival and invasion signaling node. Treatment with an Akt inhibitor more potently reduced the numbers of viable brain cancer stem cells relative to matched nonstem cancer cells associated with a preferential induction of apoptosis and a suppression of neurosphere formation. Akt inhibition also reduced the motility and invasiveness of all tumor cells but had a greater impact on cancer stem cell behaviors. Furthermore, inhibition of Akt activity in cancer stem cells increased the survival of immunocompromised mice bearing human glioma xenografts in vivo. Together, these results suggest that Akt inhibitors may function as effective anticancer stem cell therapies. Disclosure of potential conflicts of interest is found at the end of this article.
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Cites
Phosphorylation and regulation of Akt/PKB by the rictor-mTOR complex
Sarbassov, D. D., Guertin, D. A., Ali, S. M., & Sabatini, D. M. (2005) · Science · doi:10.1126/science.1106148 · Cited by 6,216
PTEN negatively regulates neural stem cell self-renewal by modulating G 0 -G 1 cell cycle entry
Groszer, M., Erickson, R., Scripture-Adams, D. D., Dougherty, J. D., Le Belle, J., Zack, J. A., Geschwind, D. H., Liu, X., Kornblum, H. I., & Wu, H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509939103 · Cited by 306
Cited by
The Increasing Complexity of the Cancer Stem Cell Paradigm
Rosen, J. M., & Jordan, C. T. (2009) · Science · doi:10.1126/science.1171837 · Cited by 698
The brain tumor microenvironment
Charles, N. A., Holland, E. C., Gilbertson, R., Glass, R., & Kettenmann, H. (2011) · Glia · doi:10.1002/glia.21136 · Cited by 718
Notch Promotes Radioresistance of Glioma Stem Cells
Wang, J., Wakeman, T. P., Lathia, J. D., Hjelmeland, A. B., Wang, X.-F., White, R. R., Rich, J. N., & Sullenger, B. A. (2010) · Stem Cells · doi:10.1002/stem.261 · Cited by 656
Self-citationTumor-derived spheroids: Relevance to cancer stem cells and clinical applications
Ishiguro, T., Ohata, H., Sato, A., Yamawaki, K., Enomoto, T., & Okamoto, K. (2017) · Cancer Science · doi:10.1111/cas.13155 · Cited by 530
Lei, Z., Tan, I. B., Das, K., Deng, N., Zouridis, H., Pattison, S., Chua, C., Feng, Z., Guan, Y. K., Ooi, C. H., et al. (2013) · Gastroenterology · doi:10.1053/j.gastro.2013.05.010 · Cited by 458
Metadata
- Authors
- Eyler, C. E., Foo, W.-C., LaFiura, K. M., McLendon, R. E., Hjelmeland, A. B., & Rich, J. N.
- Venue
- Stem Cells
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-09-18
- Volume
- 26
- Issue
- 12
- Pages
- 3027-3036
- ISSN
- 1066-5099 (ISSN-L)
- 1549-4918
- OpenAlex
- W1552614585
- Cited by
- 242
- References
- 2
- FWCI
- 10.78
- Type
- journal article
- Language
- en
- Open access
- bronze
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