| Title |
Identification of hub miRNA biomarkers for bladder cancer by weighted gene coexpression network analysis
|
|---|---|
| Published in |
OncoTargets and therapy, November 2017
|
| DOI | 10.2147/ott.s146479 |
| Pubmed ID | |
| Authors |
Feng Zhao, Yu-Zheng Ge, Liu-Hua Zhou, Lu-Wei Xu, Zheng Xu, Wen-Wen Ping, Min Wang, Chang-Cheng Zhou, Ran Wu, Rui-Peng Jia |
| Abstract |
Bladder cancer (BC) is a common urinary system tumor with high aggressiveness, and it results in relatively high mortality due to a lack of precise and suitable biomarkers. In this study, we applied the weighted gene coexpression network analysis method to miRNA expression data from BC patients, and screened for network modules associated with BC progression. Hub miRNAs were selected, followed by functional enrichment analyses of their target genes for the most closely related module. These hub miRNAs were found to be involved in several functional pathways including pathway in cancer, regulation of actin cytoskeleton, PI3K-Akt signaling pathway, mitogen-activated protein kinase (MAPK) signaling pathway, Wnt signaling pathway, proteoglycans in cancer, focal adhesion and p53 signaling pathway via regulating target genes. Finally, their prognostic significance was tested using analyses of overall survival. A few novel prognostic miRNAs were identified based on expression profiles and related survival data. In conclusion, several miRNAs that were critical in BC initiation and progression have been identified in this study. These miRNAs, which may contribute to a comprehensive understanding of the pathogenesis of BC, could serve as potential biomarkers for BC prognosis or as new therapeutic targets. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 23% |
| Researcher | 4 | 18% |
| Other | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Professor | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Neuroscience | 2 | 9% |
| Computer Science | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 9 | 41% |
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 08 December 2017.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,147
of 3,016 outputs
Outputs of similar age
#217,828
of 340,752 outputs
Outputs of similar age from OncoTargets and therapy
#35
of 73 outputs
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