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MiR-492 contributes to cell proliferation and cell cycle of human breast cancer cells by suppressing SOX7 expression

Overview of attention for article published in Tumor Biology, November 2014
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Title
MiR-492 contributes to cell proliferation and cell cycle of human breast cancer cells by suppressing SOX7 expression
Published in
Tumor Biology, November 2014
DOI 10.1007/s13277-014-2794-z
Pubmed ID
Authors

Fei Shen, Wen-Song Cai, Zhe Feng, Jiang-Lin Li, Ji-Wei Chen, Jie Cao, Bo Xu

Abstract

MicroRNAs (miRNAs) have emerged as important regulators that potentially play critical roles in cancer cell biological processes. Previous studies have shown that miR-492 plays an important role in cell tumorigenesis in multiple kinds of human cancer cells. However, the underlying mechanisms of this microRNA in breast cancer remain largely unknown. In the present study, we investigated miR-492's role in cell proliferation of breast cancer. MiR-492 expression was markedly upregulated in breast cancer tissues and breast cancer cells. Overexpression of miR-492 promoted the proliferation and anchorage-independent growth of breast cancer cells. Bioinformatics analysis further revealed sex-determining region Y-box 7 (SOX7), a putative tumor suppressor, as a potential target of miR-492. Data from luciferase reporter assays showed that miR-492 directly binds to the 3'-untranslated region (3'-UTR) of SOX7 messenger RNA (mRNA) and repressed expression at both transcriptional and translational levels. Ectopic expression of miR-492 led to downregulation of SOX7 protein, which resulted in the upregulation of cyclin D1 and c-Myc. In functional assays, SOX7 silenced in miR-492-in-transfected ZR-75-30 cells has positive effect to promote cell proliferation, suggesting that direct SOX7 downregulation is required for miR-492-induced cell proliferation and cell cycle of breast cancer. In sum, these results suggest that miR-492 represents a potential onco-miR and participates in breast cancer carcinogenesis by suppressing SOX7 expression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Researcher 2 10%
Student > Postgraduate 2 10%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Unknown 6 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 35%
Agricultural and Biological Sciences 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Immunology and Microbiology 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 7 35%
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 20 November 2014.
All research outputs
#20,243,777
of 22,771,140 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#303,395
of 362,502 outputs
Outputs of similar age from Tumor Biology
#87
of 139 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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