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Cancer Biomarkers
Article . 2018 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Cancer Biomarkers
Article
License: implied-oa
Data sources: UnpayWall
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Cancer Biomarkers
Article . 2018
Data sources: mEDRA
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miR-370 regulates ISG15 expression and influences IFN-α sensitivity in hepatocellular carcinoma cells

Authors: Zhuo, Liu; Min, Ma; Lei, Yan; Shilin, Chen; Sha, Li; Darong, Yang; Xiaohong, Wang; +5 Authors

miR-370 regulates ISG15 expression and influences IFN-α sensitivity in hepatocellular carcinoma cells

Abstract

BACKGROUND: Interferon-α (IFN-α) is an adjuvant to chemotherapy and radiotherapy for hepatocellular carcinoma (HCC), but some HCC patients do not respond to treatment with IFN-α. METHODS: We performed loss-of-function and gain-of-function experiments to examine the role of ISG15 in the IFN-α sensitivity of LH86, HLCZ01, SMMC7721, and Huh7 cell lines and tumor samples. RESULTS: The overexpression of ISG15 reduced apoptosis in Huh7 and LH86 cells in the presence of IFN-α, whereas the shRNA-mediated knock down of ISG15 expression increased apoptosis in both Huh7 and LH86 cells. We identified a putative miR-370 target site in the 3’-UTR in the ISG15 mRNA, and the level of miR-370 expression in HCC cell lines reflected the level of IFN-α-induced apoptosis exhibited by each. Both HCC cell lines and tumor samples had significantly lower levels of miR-370 than the control cells and tissues (P< 0.05). The overexpression of miR-370 in IFN-α-treated LH86 and Huh7 cells increased apoptosis and reduced the volume of LH86- and Huh7-derived xenograft tumors in mice treated with IFN-α compared with the control tumors. CONCLUSIONS: Our findings suggest that miR-370 functions as an HCC tumor suppressor and regulator of IFN-α sensitivity and that miR-370 might be a useful prognostic marker for HCC patients.

Related Organizations
Keywords

Models, Molecular, Carcinoma, Hepatocellular, Cell Survival, Liver Neoplasms, Immunity, Interferon-alpha, Apoptosis, Gene Expression Regulation, Neoplastic, Disease Models, Animal, Mice, MicroRNAs, Cell Line, Tumor, Animals, Cytokines, Humans, RNA Interference, 3' Untranslated Regions, Ubiquitins, Cell Proliferation

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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).
    16
    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).
    Average
    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!
16
Top 10%
Average
Top 10%
hybrid