Identification of biomarkers and construction of a microRNA‑mRNA regulatory network for clear cell renal cell carcinoma using integrated bioinformatics analysis.
Miaoru HanHaifeng YanKang YangBoya FanPanying LiuHongtao YangPublished in: PloS one (2021)
With the recent research development, the importance of microRNAs (miRNAs) in renal clear cell carcinoma (CCRCC) has become widely known. The purpose of this study is to screen out the potential biomarkers of renal clear cell carcinoma (CCRCC) by microarray analysis. The miRNA chip (GSE16441) and mRNA chip (GSE66270) related to CCRCC were downloaded from the Gene Expression Omnibus (GEO) database. After data filtering and pretreating, R platform and a series of analysis tools (funrich3.1.3, string, Cytoscape_ 3.2.1, David, etc.) were used to analyze chip data and identify the specific and highly sensitive biomarkers. Finally, by constructing the miRNA -mRNA interaction network, it was determined that five miRNAs (hsa-mir-199a-5p, hsa-mir-199b-5p, hsa-mir-532-3p and hsa-mir-429) and two key genes (ETS1 and hapln1) are significantly related to the overall survival rate of patients.
Keyphrases
- bioinformatics analysis
- high throughput
- gene expression
- end stage renal disease
- circulating tumor cells
- newly diagnosed
- transcription factor
- ejection fraction
- long non coding rna
- chronic kidney disease
- electronic health record
- binding protein
- big data
- prognostic factors
- mass spectrometry
- single cell
- clear cell
- machine learning
- drug induced
- high resolution
- free survival
- simultaneous determination