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Oncology Reports
Article
Data sources: UnpayWall
Oncology Reports
Article . 2014 . Peer-reviewed
Data sources: Crossref
Oncology Reports
Article . 2015
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Low expression of GABARAPL1 is associated with a poor outcome for patients with hepatocellular carcinoma

Authors: Chao, Liu; Yan, Xia; Wei, Jiang; Yinkun, Liu; Long, Yu;

Low expression of GABARAPL1 is associated with a poor outcome for patients with hepatocellular carcinoma

Abstract

Autophagy is an evolutionarily conserved cellular process that degrades cytoplasmic materials through the lysosomal pathway. The deregulation of autophagy is associated with several diseases, particularly cancer. Hepatocellular carcinoma (HCC) is one of the most aggressive cancers with a poor prognosis. The expression of autophagy-related genes in HCC and their relationships with HCC are largely unknown. In the present study, we analyzed the expression of autophagy-related genes based on the Oncomine database and quantitative PCR of HCC and adjacent liver tissues. We found that the mRNA and protein expression of GABARAPL1 was significantly decreased in HCC tissues compared with their adjacent liver tissues. In HCC cancer cell lines, overexpression of GABARAPL1 inhibited cell growth, while knockdown of GABARAPL1 expression via siRNA promoted cell growth. In addition, we found a significant correlation of low GABARAPL1 expression with poor differentiation of HCC cells (P=0.018), and with the absence of tumor capsules (P=0.047). Kaplan-Meier survival analysis showed a significant association between low GABARAPL1 expression and poor prognosis of HCC patients (P=0.0094). Our data showed for the first time that GABARAPL1 expression is associated with poor prognosis of HCC patients.

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Keywords

Male, Carcinoma, Hepatocellular, Liver Neoplasms, Hep G2 Cells, Kaplan-Meier Estimate, Middle Aged, Gene Expression Regulation, Neoplastic, Treatment Outcome, Liver, Cell Line, Tumor, Autophagy, Biomarkers, Tumor, Humans, Female, RNA Interference, RNA, Messenger, RNA, Small Interfering, Microtubule-Associated Proteins, Adaptor Proteins, Signal Transducing, Cell Proliferation

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
bronze
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