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MicroRNA profile in HBV-induced infection and hepatocellular carcinoma

Overview of attention for article published in BMC Cancer, December 2017
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Title
MicroRNA profile in HBV-induced infection and hepatocellular carcinoma
Published in
BMC Cancer, December 2017
DOI 10.1186/s12885-017-3816-1
Pubmed ID
Authors

Guanyu Wang, Fulu Dong, Zhiyao Xu, Sherven Sharma, Xiaotong Hu, Dafang Chen, Lumin Zhang, Jinping Zhang, Qinghua Dong

Abstract

MicroRNAs (miRNAs) exhibit essential regulatory functions related to cell growth, apoptosis, development and differentiation. Dysregulated expression of miRNAs is associated with a wide variety of human diseases. As such miRNA signatures are valuable as biomarkers for disease and for making treatment decisions. Hepatitis B virus (HBV) is a major risk factor for hepatocellular carcinoma (HCC). Here we screened for miRNAs in chronic HBV associated HCC. To determine the miRNAs in HCC occurrence associated with HBV infection, we analyzed global miRNA expression profiles in 12 pairs of HCC and adjacent matched non-HCC tissues from HBV-positive and HBV-negative patients using microarray analyses. The microarray result was validated by real-time PCR in 32 HBV-positive and 24 HBV-negative patient HCC samples. The potential candidate target genes of the miRNAs were predicted by miRWalk software. Genes simultaneously predicted as targets by two or more miRNAs were subjected to GO and KEGG pathway analysis. The miRNA regulatory network analysis was performed using the Ingenuity Pathway Analysis (IPA) software. Eight miRNAs (miR-223, miR-98, miR-15b, miR-199a-5p, miR-19b, miR-22, miR-451, and miR-101) were involved in HBV-unrelated HCC, 5 miRNAs (miR-98, miR-375, miR-335, miR-199a-5p, and miR-22) were involved in HBV infection, and 7 miRNAs (miR-150, miR-342-3p, miR-663, miR-20b, miR-92a-3p, miR-376c-3p and miR-92b) were specifically altered in HBV-related HCC. Gene Ontology and KEGG analyses predict that these HBV-related HCC miRNAs are involved in the regulation of: transcription, RNA polymerase II promoter, phosphorylation of proteins through MAPK signaling pathway, focal adhesion, and actin cytoskeleton. IPA analysis also suggest that these miRNAs act on AGO2, TP53, CCND1, and 11 other genes that significantly influence HCC occurrence and HBV infection. Our data indicates that the unique 7 miRNAs expression signature could be involved in the development HBV- related HCC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Bachelor 11 16%
Student > Ph. D. Student 9 13%
Researcher 7 10%
Other 5 7%
Other 5 7%
Unknown 21 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 23%
Medicine and Dentistry 14 20%
Immunology and Microbiology 5 7%
Nursing and Health Professions 4 6%
Agricultural and Biological Sciences 4 6%
Other 6 9%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 December 2017.
All research outputs
#18,345,259
of 23,567,572 outputs
Outputs from BMC Cancer
#5,114
of 8,491 outputs
Outputs of similar age
#309,215
of 440,538 outputs
Outputs of similar age from BMC Cancer
#111
of 179 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,491 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.