Literature DB >> 29175326

Downregulation of Nedd4L predicts poor prognosis, promotes tumor growth and inhibits MAPK/ERK signal pathway in hepatocellular carcinoma.

Fengbo Zhao1, Xiu Gong2, Aifen Liu2, Xiufang Lv2, Baoying Hu2, Haijian Zhang3.   

Abstract

Accumulating evidence indicates that the neural precursor cell-expressed, developmentally downregulated 4-like (Nedd4L) related with some tumor progression pathways and was found abnormally expressed in several kinds of solid cancers. However, the role and mechanism of Nedd4L in HCC remain unknown. This study was to assess the role of Nedd4L in HCC tumorigenesis and prognosis. The real-time quantitative RT-PCR and immunohistochemistry results revealed that Nedd4L was downregulated in HCC tissues compared to corresponding peri-noncancerous tissue, and HCC patients with low expression of Nedd4L exhibited poor prognosis assessed by Kaplan-Meier and Cox regression analysis in 78 HCC patients. Furthermore, knockdown of Nedd4L could significantly promote proliferation of HCC cells by CCK-8 and colony formation assays in vitro; whereas ectopic expression of Nedd4L resulted in attenuating proliferation in vitro and tumor growth in vivc determined by nude mice xenografts model. Mechanically, Nedd4L could phosphorylate ERK1/2 and regulate genes related with apoptosis. Collectively, Nedd4L plays a tumor suppressive role in HCC, possibly through triggering MAPK/ERK-mediated apoptosis, and Nedd4L downregulation may be a potential prognostic biomarker as well as a therapeutic target for HCC.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apoptosis; ERK 1/2; Hepatocellular carcinoma; Nedd4L; Proliferation

Mesh:

Substances:

Year:  2017        PMID: 29175326     DOI: 10.1016/j.bbrc.2017.11.139

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  10 in total

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Authors:  Chengyun Li; Wenwen Zhang; Hanteng Yang; Jilian Xiang; Xinghua Wang; Junling Wang
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Authors:  Lu Zeng; Xiude Fan; Xiaoyun Wang; Huan Deng; Xiaoge Zhang; Kun Zhang; Shan He; Na Li; Qunying Han; Zhengwen Liu
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  10 in total

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