| Title |
An integrated analysis for long noncoding RNAs and microRNAs with the mediated competing endogenous RNA network in papillary renal cell carcinoma
|
|---|---|
| Published in |
OncoTargets and therapy, August 2017
|
| DOI | 10.2147/ott.s141951 |
| Pubmed ID | |
| Authors |
Chuiguo Huang, Naijun Yuan, Liying Wu, Xiaofu Wang, Junqiang Dai, Pan Song, Fengxi Li, Changbao Xu, Xinghua Zhao |
| Abstract |
Papillary renal cell carcinoma (PRCC) is the second most common subtype of renal cell carcinoma, and it lacks effective therapeutic targets and prognostic molecular biomarkers. Attention has been increasingly focused on long noncoding RNAs (lncRNAs), which can act as competing endogenous RNA (ceRNA) to compete for shared microRNAs (miRNAs) in the tumorigenesis of human tumors. Therefore, to clarify the functional roles of lncRNAs with respect to the mediated ceRNA network in PRCC, we comprehensively integrated expression profiles, including data on mRNAs, lncRNAs and miRNAs obtained from 289 PRCC tissues and 32 normal tissues in The Cancer Genome Atlas. As a result, we identified 2,197 differentially expressed mRNAs (DEmRNAs) and 84 differentially expressed miRNAs (DEmiRNAs) using a threshold of |log2 (fold change)| >2.0 and an adjusted P-value <0.05. To determine the hub DEmRNAs that could be key target genes, a weighted gene co-expression network analysis was performed. A total of 28 hub DEmRNAs were identified as potential target genes. Seven dysregulated DEmiRNAs were identified that were significantly associated with the 28 hub potential target genes. In addition, we found that 16 differentially expressed lncRNAs were able to interact with the DEmiRNAs. Finally, we used Cytoscape software to visualize the ceRNA network with these differently expressed molecules. From these results, we believe that the identified ceRNA network plays a crucial role in the process of PRCC deterioration, and some of the identified genes are strongly related to clinical prognosis. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Hong Kong | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 25% |
| Student > Postgraduate | 3 | 25% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 42% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Agricultural and Biological Sciences | 2 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Unknown | 2 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 September 2017.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#838
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Outputs of similar age
#179,595
of 327,503 outputs
Outputs of similar age from OncoTargets and therapy
#26
of 83 outputs
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We're also able to compare this research output to 83 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 63% of its contemporaries.