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International Journal of Molecular Sciences
Article . 2018 . Peer-reviewed
License: CC BY
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Other literature type . 2018
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Article . 2018 . Peer-reviewed
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Other literature type . 2018
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The Role of Long Non-Coding RNAs in Hepatocarcinogenesis

Authors: Luigi Terracciano; Charlotte K.Y. Ng; Charlotte K.Y. Ng; Salvatore Piscuoglio; Manuela Lanzafame; Gaia Bianco;

The Role of Long Non-Coding RNAs in Hepatocarcinogenesis

Abstract

Whole-transcriptome analyses have revealed that a large proportion of the human genome is transcribed in non-protein-coding transcripts, designated as long non-coding RNAs (lncRNAs). Rather than being “transcriptional noise”, increasing evidence indicates that lncRNAs are key players in the regulation of many biological processes, including transcription, post-translational modification and inhibition and chromatin remodeling. Indeed, lncRNAs are widely dysregulated in human cancers, including hepatocellular carcinoma (HCC). Functional studies are beginning to provide insights into the role of oncogenic and tumor suppressive lncRNAs in the regulation of cell proliferation and motility, as well as oncogenic and metastatic potential in HCC. A better understanding of the molecular mechanisms and the complex network of interactions in which lncRNAs are involved could reveal novel diagnostic and prognostic biomarkers. Crucially, it may provide novel therapeutic opportunities to add to the currently limited number of therapeutic options for HCC patients. In this review, we summarize the current status of the field, with a focus on the best characterized dysregulated lncRNAs in HCC.

Country
Switzerland
Related Organizations
Keywords

Carcinoma, Hepatocellular, Epithelial-Mesenchymal Transition, Liver Neoplasms, Review, Genetic Therapy, Prognosis, Gene Expression Regulation, Neoplastic, Cell Transformation, Neoplastic, Molecular Diagnostic Techniques, Biomarkers, Tumor, Animals, Humans, RNA Interference, RNA, Antisense, RNA, Long Noncoding

  • BIP!
    Impact byBIP!
    citations
    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).
    75
    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 1%
    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 1%
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citations
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!
75
Top 1%
Top 10%
Top 1%
Green
gold