p28GANK overexpression accelerates hepatocellular carcinoma invasiveness and metastasis via phosphoinositol 3-kinase/AKT/hypoxia-inducible factor-1α pathways

Jing Fu;Yao Chen;Jie Cao;Tao Luo;You Wen Qian;Wen Yang;Yi Bin Ren;Bo Su;广文 曹;Yuan Yang;Yi Qun Yan;Feng Shen;孟超 吴;Gen Sheng Feng;红阳 王

Hospital of Hepatobiliary Surgery;Second Military Medical University;University of California at San Diego;Shanghai Jiao Tong University

发表时间:2011-1

期 刊:Hepatology

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=78751544628&partnerID=8YFLogxK

摘要

The overall survival of patients with hepatocellular carcinoma (HCC) remains poor, and the molecular mechanisms underlying HCC progression and aggressiveness are unclear. Here, we report that increased expression of p28GANK (Gankyrin, PSMD10, or p28) in human HCC predicts poor survival and disease recurrence after surgery. Patients with HCC who have large tumors, with vascular invasion and intrahepatic or distant metastasis, expressed high levels of p28GANK. Invasive tumors overexpressing p28GANK were featured by active epithelial-mesenchymal transition (EMT), and exhibited increased angiogenesis associated with vascular endothelial growth factor overexpression, whereas silencing p28GANK expression attenuated EMT and motility/invasion of tumor cells. The p28GANK activates phosphoinositide 3-kinase (PI3K)-V-akt Murine Thymoma Viral Oncogene Homolog (AKT)-hypoxia-inducible factor 1α (HIF-1α) signaling to promote TWIST1, vascular endothelial growth factor, and metalloproteinase 2 expression. Suppression of the PI3K-AKT-HIF-1α pathway interfered with p28GANK-mediated EMT and invasion. Consistently, we detected a significant correlation between p28GANK expression and p-AKT levels in a cohort of HCC biopsies, and the combination of these two parameters is a more powerful predictor of poor prognosis. Conclusion: These results present novel mechanistic insight into a critical role of p28GANK in HCC progression and metastasis.

相关科学

医学
肝脏病学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 2.067 2.07
2000 2.834 2.215
2001 2.934 2.165
2002 3.26 2.462
2003 3.524 2.614
2004 3.721 2.746
2005 3.57 2.675
2006 4.142 2.778
2007 4.138 2.659
2008 4.767 2.637
2009 4.4 2.729
2010 4.801 2.746
2011 17.6 5.012 2.829
2012 18.5 5.2 2.861
2013 18.1 5.29 2.691
2014 17.3 5.155 2.606
2015 18 4.879 2.623
2016 19.9 5.229 2.756
2017 20.6 5.541 2.746
2018 20.7 5.096 2.856
2019 20.6 5.377 3.171
2020 22.1
2021

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