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Analysis of microarrays of miR-34a and its identification of prospective target gene signature in hepatocellular carcinoma

Overview of attention for article published in BMC Cancer, January 2018
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Title
Analysis of microarrays of miR-34a and its identification of prospective target gene signature in hepatocellular carcinoma
Published in
BMC Cancer, January 2018
DOI 10.1186/s12885-017-3941-x
Pubmed ID
Authors

Fang-Hui Ren, Hong Yang, Rong-quan He, Jing-ning Lu, Xing-gu Lin, Hai-Wei Liang, Yi-Wu Dang, Zhen-Bo Feng, Gang Chen, Dian-Zhong Luo

Abstract

Currently, some studies have demonstrated that miR-34a could serve as a suppressor of several cancers including hepatocellular carcinoma (HCC). Previously, we discovered that miR-34a was downregulated in HCC and involved in the tumorigenesis and progression of HCC; however, the mechanism remains unclear. The purpose of this study was to estimate the expression of miR-34a in HCC by applying the microarray profiles and analyzing the predicted targets of miR-34a and their related biological pathways of HCC. Gene expression omnibus (GEO) datasets were conducted to identify the difference of miR-34a expression between HCC and corresponding normal tissues and to explore its relationship with HCC clinicopathologic features. The natural language processing (NLP), gene ontology (GO), pathway and network analyses were performed to analyze the genes associated with the carcinogenesis and progression of HCC and the targets of miR-34a predicted in silico. In addition, the integrative analysis was performed to explore the targets of miR-34a which were also relevant to HCC. The analysis of GEO datasets demonstrated that miR-34a was downregulated in HCC tissues, and no heterogeneity was observed (Std. Mean Difference(SMD) = 0.63, 95% confidence intervals(95%CI):[0.38, 0.88], P < 0.00001; Pheterogeneity = 0.08 I2 = 41%). However, no association was found between the expression value of miR-34a and any clinicopathologic characteristics. In the NLP analysis of HCC, we obtained 25 significant HCC-associated signaling pathways. Besides, we explored 1000 miR-34a-related genes and 5 significant signaling pathways in which CCND1 and Bcl-2 served as necessary hub genes. In the integrative analysis, we found 61 hub genes and 5 significant pathways, including cell cycle, cytokine-cytokine receptor interaction, notching pathway, p53 pathway and focal adhesion, which proposed the relevant functions of miR-34a in HCC. Our results may lead researchers to understand the molecular mechanism of miR-34a in the diagnosis, prognosis and therapy of HCC. Therefore, the interaction between miR-34a and its targets may promise better prediction and treatment for HCC. And the experiments in vivo and vitro will be conducted by our group to identify the specific mechanism of miR-34a in the progress and deterioration of HCC.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 30%
Other 3 13%
Student > Bachelor 3 13%
Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 35%
Medicine and Dentistry 5 22%
Immunology and Microbiology 2 9%
Agricultural and Biological Sciences 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 2 9%
Unknown 4 17%

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 05 January 2018.
All research outputs
#20,458,307
of 23,015,156 outputs
Outputs from BMC Cancer
#6,530
of 8,359 outputs
Outputs of similar age
#378,441
of 442,518 outputs
Outputs of similar age from BMC Cancer
#165
of 203 outputs
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