| Title |
Identification of microRNA-93 as a functional dysregulated miRNA in triple-negative breast cancer
|
|---|---|
| Published in |
Tumor Biology, September 2014
|
| DOI | 10.1007/s13277-014-2611-8 |
| Pubmed ID | |
| Authors |
Jinhua Hu, Juan Xu, Yuquan Wu, Qingyong Chen, Wei Zheng, Xiaojun Lu, Chun Zhou, Demin Jiao |
| Abstract |
MicroRNAs (miRNAs) are widely recognized as key players in cancer progression and drug resistance, but less is known about the role of miRNAs in triple-negative (estrogen receptor, progesterone receptor, and HER-2/neu) breast cancer (TNBC). The aim of the present study was to examine the expression profile of miRNAs and to explore their possible roles in TNBC. Differentially expressed miRNAs were identified by miRNA microarray and verified by quantitative real-time polymerase chain reaction. The expression of miR-93 was assessed by in situ hybridization in 119 cases of breast cancer. Cell proliferation potential was examined by MTT assay. Cell migration and invasion abilities were evaluated by a wound healing assay and transwell invasion or migration assay. Seven upregulated and ten downregulated miRNAs in TNBC were identified. The miR-93 expression level in TNBC tissues was significantly higher than that in non-triple-negative breast cancer tissues. The potentials of proliferation, invasion, and metastasis in breast cancer MCF-7 cells were promoted by ectopic transfection of miR-93. Our study found several distinct differentially expressed miRNAs in TNBC, as compared to non-triple-negative breast cancer. Among them, miR-93 may be considered as a biomarker associated with the biological and clinical characteristics of human TNBC. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 2% |
| Unknown | 46 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 23% |
| Researcher | 8 | 17% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 10 | 21% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 23% |
| Medicine and Dentistry | 7 | 15% |
| Agricultural and Biological Sciences | 7 | 15% |
| Computer Science | 4 | 9% |
| Engineering | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 10 | 21% |
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 01 October 2014.
All research outputs
#17,727,479
of 22,764,165 outputs
Outputs from Tumor Biology
#1,220
of 2,622 outputs
Outputs of similar age
#168,374
of 250,571 outputs
Outputs of similar age from Tumor Biology
#49
of 124 outputs
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We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.