| Title |
Exploring the role of miRNAs in renal cell carcinoma progression and metastasis through bioinformatic and experimental analyses
|
|---|---|
| Published in |
Tumor Biology, November 2011
|
| DOI | 10.1007/s13277-011-0255-5 |
| Pubmed ID | |
| Authors |
Heba W. Z. Khella, Nicole M. A. White, Hala Faragalla, Manal Gabril, Mina Boazak, David Dorian, Bishoy Khalil, Hany Antonios, Tian Tian Bao, Maria D. Pasic, R. John Honey, Robert Stewart, Kenneth T. Pace, Georg A. Bjarnason, Michael A. S. Jewett, George M. Yousef |
| Abstract |
Metastasis results in most of the cancer deaths in clear cell renal cell carcinoma (ccRCC). MicroRNAs (miRNAs) regulate many important cell functions and play important roles in tumor development, metastasis and progression. In our previous study, we identified a miRNA signature for metastatic RCC. In this study, we validated the top differentially expressed miRNAs on matched primary and metastatic ccRCC pairs by quantitative polymerase chain reaction. We performed bioinformatics analyses including target prediction and combinatorial analysis of previously reported miRNAs involved in tumour progression and metastasis. We also examined the co-expression of the miRNAs clusters and compared expression of intronic miRNAs and their host genes. We observed significant dysregulation between primary and metastatic tumours from the same patient. This indicates that, at least in part, the metastatic signature develops gradually during tumour progression. We identified metastasis-dysregulated miRNAs that can target a number of genes previously found to be involved in metastasis of kidney cancer as well as other malignancies. In addition, we found a negative correlation of expression of miR-126 and its target vascular endothelial growth factor (VEGF)-A. Cluster analysis showed that members of the same miRNA cluster follow the same expression pattern, suggesting the presence of a locus control regulation. We also observed a positive correlation of expression between intronic miRNAs and their host genes, thus revealing another potential control mechanism for miRNAs. Many of the significantly dysregulated miRNAs in metastatic ccRCC are highly conserved among species. Our analysis suggests that miRNAs are involved in ccRCC metastasis and may represent potential biomarkers. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 20% |
| Researcher | 5 | 17% |
| Professor > Associate Professor | 4 | 13% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 27% |
| Medicine and Dentistry | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Mathematics | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 27% |
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 November 2013.
All research outputs
#17,651,093
of 22,656,971 outputs
Outputs from Tumor Biology
#1,217
of 2,620 outputs
Outputs of similar age
#100,588
of 125,240 outputs
Outputs of similar age from Tumor Biology
#9
of 14 outputs
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