p21-activated kinase 4 regulates ovarian cancer cell proliferation, migration, and invasion and contributes to poor prognosis in patients

Department of Pathology, University of Hong Kong, Pokfulam, Hong Kong.
Proceedings of the National Academy of Sciences (Impact Factor: 9.67). 10/2010; 107(43):18622-7. DOI: 10.1073/pnas.0907481107
Source: PubMed


Ovarian cancer is a lethal gynecological malignancy, and to improve survival, it is important to identify novel prognostic and therapeutic targets. In this study, we present a role for p21-activated kinase 4 (Pak4) in ovarian cancer progression. We show a significant association between increased expression of Pak4 and its activated form, phosphorylated (p)-Pak4 Ser(474), with metastasis of ovarian cancers, shorter overall and disease-free survival, advanced stage and high-grade cancers, serous/clear cell histological subtypes, and reduced chemosensitivity. Pak4 overexpression was also observed in ovarian cancer cell lines. Pak4 and p-Pak4 expression were detected both in the nucleus and cytoplasm of ovarian cancer cells, in vitro as well as in vivo. Stable knockdown of Pak4 in ovarian cancer cell lines led to reduced cell migration, invasion, and proliferation, along with reduced c-Src, ERK1/2, and epidermal growth factor receptor (EGFR) activation and decreased matrix metalloproteinase 2 (MMP2) expression. Conversely, Pak4 overexpression promoted ovarian cancer cell migration and invasion in a c-Src, MEK-1, MMP2, and kinase-dependent manner, and induced cell proliferation through the Pak4/c-Src/EGFR pathway that controls cyclin D1 and CDC25A expression. Stable knockdown of Pak4 also impeded tumor growth and dissemination in nude mice. This report reveals the association between Pak4 and important clinicopathologic parameters, suggesting Pak4 to be a significant prognostic marker and potential therapeutic molecular target in ovarian cancer. The implied possible cross-talk between Pak4 and EGFR suggests the potential of dual targeting of EGFR and Pak4 as a unique therapeutic approach for cancer therapy.

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    • "PAK4 overexpression has been shown to promote ovarian cancer cell migration and invasion in a c-Src and MEK-1 kinase-dependent manner, and induce cell proliferation through the Pak4/c-Src/EGFR (epidermal growth factor receptor) pathway [19]. Lu et al. [29] reported that PAK4 regulates endometrial cancer cell migration and invasion, involving the ERK1/2 pathway-mediated MMP-2 (matrix metalloproteinase 2) secretion. "
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    ABSTRACT: Cisplatin (CDDP) and CDDP-based combination chemotherapy have been confirmed effective against gastric cancer. However, CDDP efficiency is limited due to development of drug resistance. In this study, we found that p21-activated kinase 4 (PAK4) expression and activity were elevated in gastric cancer cells with acquired CDDP resistance (AGS/CDDP and MKN-45/CDDP) compared with their parental cells. Inhibition of PAK4 or knockdown of PAK4 expression by specific siRNA sensitized CDDP-resistant cells to CDDP and overcome CDDP resistance. Combination treatment of LY294002 (the inhibitor of PI3K/Akt pathway) or PD98509 (the inhibitor of MEK/Erk pathway) with PF-3758309 (the PAK4 inhibitor) resulted in increased CDDP efficacy compared with LY294002 or PD98509 alone. However, after concomitant treatment of LY294002 and PD98509, PF-3758309 administration exerted no additional enhancement of CDDP cytotoxicity in CDDP-resistant cells. Inhibition of PAK4 by PF-3758309 could significantly suppress MEK/Erk and PI3K/Akt signaling in CDDP-resistant cells. Furthermore, inhibition of PI3K/Akt pathway while not MEK/Erk pathway could inhibit PAK4 activity in these cells. The in vivo results were similar with those of in vitro. In conclusion, these results indicate that PAK4 confers CDDP resistance via activation of MEK/Erk and PI3K/Akt pathways. PAK4 and PI3K/Akt pathways can reciprocally activate each other. Therefore, PAK4 may be a potential target for overcoming CDDP resistance in gastric cancer.
    Bioscience Reports 01/2014; 34(2). DOI:10.1042/BSR20130102 · 2.64 Impact Factor
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    • "An association of the proliferative status of ovarian tumors with survival has been reported before, using p21-activted kinase 4 (Pak4) [28] or cell cycle-related kinase (CCRK) as markers [29]. There are few reports about the prognostic value of the cell proliferation marker Ki67 in EOC. "
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    ABSTRACT: Epithelial ovarian cancer is one of the most lethal gynecologic malignancies. Clinicopathological factors do not permit precise prognosis and cannot provide guidance to specific treatments. In this study we assessed tumor infiltrating CD8+ T cells in association with Ki67 proliferation index and evaluated their prognostic impact in EOC samples. CD8+ cells and Ki67 proliferation index were immunohistochemically determined on tissue microarrays including 203 primary epithelial ovarian tumors. Additionally, CD8 gene expression was assessed with RT-qPCR. Correlations were analyzed using Pearson's correlation coefficients, ANOVA or T-test, or Fischer's exact tests. Prognostic impact was evaluated using the Kaplan-Meier method and Cox regression model. The density of CD8+ infiltrating lymphocytes did not correlate with tumor cell proliferation. Epithelial ovarian cancer patients with no Ki67+ cells in the tumor had a more than three times higher risk to die compared to the population with Ki67+ cells in the tumor (Hazard ratio (HR) = 3.34, 95%CI 1.59-7.04). High CD8+ cell infiltration was associated with improved overall survival (HR = 0.82, 95%CI 0.73-0.92). The density of tumor infiltrating lymphocytes is independent of tumor cell proliferation. Ovarian cancer patients with Ki67- tumors showed a significantly reduced overall survival, presumably due to no or poor response to platinum-based chemotherapy. Moreover, the association of high densities of tumor infiltrating cytotoxic T lymphocytes with a better overall survival was confirmed.
    BMC Cancer 09/2013; 13(1):422. DOI:10.1186/1471-2407-13-422 · 3.36 Impact Factor
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    • "The next two neighbors on the pathway, MAPK1 and RPS6KA5, are potentially targeted by another onco-miRNA mir-130b, whose elevation is known to be associated with a variety of cancers (36–38). Mir-130b is predicted to target several downstream molecules in this pathway, including CDKN1A and E2F2/3, both of which are reported to be critically involved in the pathogenesis of ovarian cancer (39,40). In fact, the multiple potential targets of mir-130b in the bladder cancer pathway suggest that mir-130b could be a key regulatory factor of this dysfunctional pathway in ovarian cancer. "
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    ABSTRACT: Recent technology has made it possible to simultaneously perform multi-platform genomic profiling (e.g. DNA methylation (DM) and gene expression (GE)) of biological samples, resulting in so-called 'multi-dimensional genomic data'. Such data provide unique opportunities to study the coordination between regulatory mechanisms on multiple levels. However, integrative analysis of multi-dimensional genomics data for the discovery of combinatorial patterns is currently lacking. Here, we adopt a joint matrix factorization technique to address this challenge. This method projects multiple types of genomic data onto a common coordinate system, in which heterogeneous variables weighted highly in the same projected direction form a multi-dimensional module (md-module). Genomic variables in such modules are characterized by significant correlations and likely functional associations. We applied this method to the DM, GE, and microRNA expression data of 385 ovarian cancer samples from the The Cancer Genome Atlas project. These md-modules revealed perturbed pathways that would have been overlooked with only a single type of data, uncovered associations between different layers of cellular activities and allowed the identification of clinically distinct patient subgroups. Our study provides an useful protocol for uncovering hidden patterns and their biological implications in multi-dimensional 'omic' data.
    Nucleic Acids Research 08/2012; 40(19):9379-91. DOI:10.1093/nar/gks725 · 9.11 Impact Factor
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