Literature DB >> 16839745

Role of PI3K and AKT specific isoforms in ovarian cancer cell migration, invasion and proliferation through the p70S6K1 pathway.

Qiao Meng1, Chang Xia, Jing Fang, Yon Rojanasakul, Bing-Hua Jiang.   

Abstract

Ovarian cancer is the leading cause of death from gynecological malignancy for women. The amplification of the PI3K catalytic subunit (p110alpha) and the lost function of PTEN are frequently detected in ovarian cancer cells. PI3K plays an important role in tumorigenesis. To specifically inhibit PI3K activity in ovarian cancer cells, we constructed small interfering RNA (siRNA) against p110alpha. The expression of p110alpha siRNA significantly decreased cell migration, invasion, and proliferation compared to the siSCR control cells. The expression of p110alpha siRNA induced CDK inhibitor p27(KIP1) levels, and decreased levels of cyclin D1, CDK4, and phosphorylated retinoblastoma protein. PI3K transmits the mytogenic signal through AKT. AKT has three isoforms in the cells: AKT1, AKT2 and AKT3. We found that inhibition of AKT1 is sufficient to affect cell migration, invasion, and proliferation. Expression of AKT1 siRNA had a similar effect as p110alpha siRNA in the cells. We showed the roles of specific PI3K and AKT isoforms in the cells, which are important to understanding the mechanism of PI3K/AKT signaling in ovarian cancer cells. Both p110alpha and AKT1 siRNA-expressing cells decreased the activation of p70S6K1. Inhibition of p70S6K1 activity by its siRNA also decreased cell migration, invasion, and proliferation associated with the induction of p27(KIP1) levels, and with the inhibition of cell cycle-associated proteins including cyclin D1, CDK2, and phosphorylated retinoblastoma protein. This study demonstrates the important role of the PI3K/AKT/mTOR/p70S6K1 pathway in cell proliferation, migration, and invasion in ovarian cancer cells by using siRNA-mediated gene silencing as a reverse genetic method.

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Year:  2006        PMID: 16839745     DOI: 10.1016/j.cellsig.2006.05.019

Source DB:  PubMed          Journal:  Cell Signal        ISSN: 0898-6568            Impact factor:   4.315


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