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The Biology and Clinical Relevance of the PTEN Tumor Suppressor Pathway
Abstract
Genetic alterations targeting the PTEN tumor suppressor gene are among the most frequently noted somatic mutations in human cancers. Such lesions have been noted in cancers of the prostate and endometrium and in glioblastoma multiforme, among many others. Moreover, germline mutation of PTEN leads to the development of the related hereditary cancer predisposition syndromes, Cowden disease, and Bannayan-Zonana syndrome, wherein breast and thyroid cancer incidence is elevated. The protein product, PTEN, is a lipid phosphatase, the enzymatic activity of which primarily serves to remove phosphate groups from key intracellular phosphoinositide signaling molecules. This activity normally serves to restrict growth and survival signals by limiting activity of the phosphoinositide-3 kinase (PI3K) pathway. Multiple lines of evidence support the notion that this function is critical to the ability of PTEN to maintain cell homeostasis. Indeed, the absence of functional PTEN in cancer cells leads to constitutive activation of downstream components of the PI3K pathway including the Akt and mTOR kinases. In model organisms, inactivation of these kinases can reverse the effects of PTEN loss. These data raise the possibility that drugs targeting these kinases, or PI3K itself, might have significant therapeutic activity in PTEN-null cancers. Akt kinase inhibitors are still in development; however, as a first test of this hypothesis, phase I and phase II trials of inhibitors of mTOR, namely, rapamycin and rapamycin analogs are underway.
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Li, J., Yen, C., Liaw, D., Podsypanina, K., Bose, S., Wang, S. I., Puc, J., Miliaresis, C., Rodgers, L., McCombie, R., et al. (1997) · Science · doi:10.1126/science.275.5308.1943 · Cited by 4,785
Cellular survival: a play in three Akts
Datta, S. R., Brunet, A., & Greenberg, M. E. (1999) · Genes & Development · doi:10.1101/gad.13.22.2905 · Cited by 4,216
Maehama, T., & Dixon, J. E. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.22.13375 · Cited by 3,104
Regulation of translation initiation by FRAP/mTOR
Gingras, A.-C., Raught, B., & Sonenberg, N. (2001) · Genes & Development · doi:10.1101/gad.887201 · Cited by 1,545
Loss of PTEN facilitates HIF-1-mediated gene expression
Zundel, W., Schindler, C., Haas-Kogan, D., Koong, A., Kaper, F., Chen, E., Gottschalk, A. R., Ryan, H. E., Johnson, R. S., Jefferson, A. B., et al. (2000) · Genes & Development · doi:10.1101/gad.14.4.391 · Cited by 840
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Wullschleger, S., Loewith, R., & Hall, M. N. (2006) · Cell · doi:10.1016/j.cell.2006.01.016 · Cited by 5,787
The evolution of phosphatidylinositol 3-kinases as regulators of growth and metabolism
Engelman, J. A., Luo, J., & Cantley, L. C. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1879 · Cited by 3,330
Targeting PI3K signalling in cancer: opportunities, challenges and limitations
Engelman, J. A. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2664 · Cited by 2,445
MicroRNA: Biogenesis, Function and Role in Cancer
MacFarlane, L.-A., & R. Murphy, P. (2010) · Current Genomics · doi:10.2174/138920210793175895 · Cited by 1,584
Autophagy in malignant transformation and cancer progression
Galluzzi, L., Pietrocola, F., Bravo‐San Pedro, J. M., Amaravadi, R. K., Baehrecke, E. H., Cecconi, F., Codogno, P., Debnath, J., Gewirtz, D. A., Karantza, V., et al. (2015) · The EMBO Journal · doi:10.15252/embj.201490784 · Cited by 1,182
Metadata
- Authors
- Sansal, I., & Sellers, W. R.
- Venue
- Journal of Clinical Oncology
- Published
- 2004-07-15
- Volume
- 22
- Issue
- 14
- Pages
- 2954-2963
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2076627331
- Cited by
- 921
- References
- 5
- FWCI
- 20.88
- Type
- journal article
- Language
- en
- Open access
- closed
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