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Regulation of the expression of the liver cancer susceptibility gene MICA by microRNAs

Authors: Takahiro Kishikawa; Motoyuki Otsuka; Takeshi Yoshikawa; Motoko Ohno; Akemi Takata; Chikako Shibata; Yuji Kondo; +3 Authors

Regulation of the expression of the liver cancer susceptibility gene MICA by microRNAs

Abstract

Hepatocellular carcinoma (HCC) is a threat to public health worldwide. We previously identified the association of a single nucleotide polymorphism (SNP) at the promoter region of the MHC class I polypeptide-related sequence A (MICA) gene with the risk of hepatitis-virus-related HCC. Because this SNP affects MICA expression levels, regulating MICA expression levels may be important in the prevention of HCC. We herein show that the microRNA (miR) 25-93-106b cluster can modulate MICA levels in HCC cells. Overexpression of the miR 25-93-106b cluster significantly suppressed MICA expression. Conversely, silencing of this miR cluster enhanced MICA expression in cells that express substantial amounts of MICA. The changes in MICA expression levels by the miR25-93-106b cluster were biologically significant in an NKG2D-binding assay and an in vivo cell-killing model. These data suggest that the modulation of MICA expression levels by miRNAs may be a useful method to regulate HCCs during hepatitis viral infection.

Keywords

Carcinoma, Hepatocellular, Base Sequence, Histocompatibility Antigens Class I, Liver Neoplasms, Molecular Sequence Data, Article, Gene Expression Regulation, Neoplastic, Mice, MicroRNAs, Cell Line, Tumor, Multigene Family, Animals, Humans, Genetic Predisposition to Disease, RNA Interference, Gene Silencing, 3' Untranslated Regions, Base Pairing

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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!
38
Top 10%
Top 10%
Top 10%
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