Literature DB >> 30914208

PBK overexpression promotes metastasis of hepatocellular carcinoma via activating ETV4-uPAR signaling pathway.

Qiu-Xia Yang1, Shan Zhong1, Lin He1, Xiao-Jiong Jia1, Hua Tang1, Sheng-Tao Cheng1, Ji-Hua Ren1, Hai-Bo Yu1, Li Zhou2, Hong-Zhong Zhou1, Fang Ren1, Zhong-Wen Hu1, Rui Gong1, Ai-Long Huang1, Juan Chen3.   

Abstract

Invasion and metastasis are the predominant causes of lethal outcomes in patients with hepatocellular carcinoma (HCC). However, the molecular mechanism underlying the invasive or metastatic process are still insufficiently understood. Here, we first integrated several public databases and identified a novel protein kinase, PDZ-binding kinase (PBK) that was frequently upregulated and correlated with poor prognosis in patients with HCC. Gain- or loss-of-function analysis revealed that PBK promoted migration and invasion of HCC cells both in vitro and in vivo. Mechanistically, PBK enhanced uPAR expression by activating its promoter activity. Chromatin immunoprecipitation (ChIP) assay showed that ETV4 directly bound to the core region of uPAR promoter while PBK could enhance the binding of ETV4 to uPAR promoter. In orthotopic mouse model, PBK knockdown markedly inhibited the lung metastasis of HCC cells, while this effect was significantly restored by uPAR overexpression. Finally, there was a positive correlation between PBK and uPAR, ETV4 and uPAR in HCC clinical samples. Collectively, these findings revealed that PBK acted as a crucial kinase by promoting invasion and migration via the ETV4-uPAR signaling pathway, and it therefore could be a promising diagnostic biomarker and therapeutic target for HCC metastasis.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ETV4; HCC; Metastasis; PDZ-Binding kinase; uPAR

Year:  2019        PMID: 30914208     DOI: 10.1016/j.canlet.2019.03.028

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  22 in total

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9.  Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.

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