| Title |
Upregulated VEGFA and DLL4 act as potential prognostic genes for clear cell renal cell carcinoma
|
|---|---|
| Published in |
OncoTargets and therapy, March 2018
|
| DOI | 10.2147/ott.s150565 |
| Pubmed ID | |
| Authors |
Xilong Wang, Jun Zhang, Yangyun Wang, Minqi Tu, Ying Wang, Guowei Shi |
| Abstract |
As a typical hypervascular tumor, clear cell renal cell carcinoma (ccRCC) is the most common type of RCC. This study was aimed to explore the prognostic genes for ccRCC, focusing on the roles of vascular endothelial growth factor A (VEGFA) and Delta-like ligand 4 (DLL4) in the disease. The mRNA-sequencing data of kidney renal clear cell carcinoma (KIRC) were obtained from The Cancer Genome Atlas (TCGA) database, including 469 tumor samples and 68 adjacent normal samples. Using limma package, differentially expressed genes (DEGs) were analyzed by differential expression and subgroup analyses and confirmed using validation dataset GSE53757. Followed by enrichment analysis, protein-protein interaction (PPI) network analysis and protein subcellular localization were performed using multifaceted analysis tool for human transcriptome tool, and Cytoscape software and InnateDB database, respectively. Moreover, survival analysis was conducted to identify key prognosis-associated genes. In addition, VEGFA and DLL4 levels were detected using real-time quantitative PCR (qRT-PCR). A total of 1,984 DEGs were screened in the KIRC tumor samples. VEGFA was located in extracellular space and could interact with placental growth factor (PGF) and angiopoietin 2 (ANGPT2) in the PPI network. Subgroup analysis suggested that VEGFA was significantly upregulated in stages I, II, and III ccRCC tumor samples. Survival analysis showed that TIMP1 was among the top four prognosis-associated genes. qRT-PCR analysis confirmed that the expression levels of DLL4 and VEGFA were significantly upregulated in tumor samples. VEGFA and DLL4 might be prognostic genes for ccRCC. Besides, PGF, ANGPT2, and TIMP1 might also be related to the prognosis of ccRCC patients. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 22% |
| Researcher | 1 | 11% |
| Unknown | 6 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 33% |
| Unknown | 6 | 67% |
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 25 March 2018.
All research outputs
#15,495,840
of 23,028,364 outputs
Outputs from OncoTargets and therapy
#1,053
of 2,954 outputs
Outputs of similar age
#211,639
of 331,165 outputs
Outputs of similar age from OncoTargets and therapy
#33
of 92 outputs
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We're also able to compare this research output to 92 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 53% of its contemporaries.