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The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Construction and analysis of circular RNA molecular regulatory networks in clear cell renal cell carcinoma
Chuanyu Ma1, Jie Qin1, Junpeng Zhang1
1Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116600, P.R. China.
Abstract:
Increasing evidence has indicated that circular (circ)RNAs participate in carcinogenesis; however, the specific regulatory mechanisms underlying the effects of circRNAs, microRNAs (miRNAs/miRs) and genes on the development of clear cell renal cell carcinoma (CCRCC) remain unclear. In the present study, RNA microarray data from CCRCC tissues and control samples were downloaded from the Gene Expression Omnibus and The Cancer Genome Atlas, in order to identify significantly dysregulated circRNAs, miRNAs and genes. The Cancer‑Specific circRNA Database was used to explore the interactions between miRNAs and circRNAs, whereas TargetScan and miRDB were employed to predict the mRNA targets of miRNAs. Functional enrichment and prognostic analyses were conducted in R. The results revealed that 324 circRNAs were downregulated, whereas 218 circRNAs were upregulated in cancer. In addition, a circRNA‑miRNA‑mRNA interaction network was constructed. Gene Ontology analysis of the upregulated genes revealed that these genes were enriched in biological processes, including 'flavonoid metabolic process', 'cellular glucuronidation' and 'T cell activation'. The downregulated genes were mainly enriched in biological processes, such as 'nephron development', 'kidney development' and 'renal system development'. The hub genes, including membrane palmitoylated protein 7, aldehyde dehydrogenase 6 family member A1, transcription factor AP‑2α, collagen type IV α 4 chain, nuclear receptor subfamily 3 group C member 2, plasminogen, Holliday junction recognition protein, claudin 10, kinesin family member 18B and thyroid hormone receptor β, and the hub miRNAs, including miR‑21‑3p, miR‑155‑3p, miR‑144‑3p, miR‑142‑5p, miR‑875‑3p, miR‑885‑3p, miR‑3941, miR‑224‑3p, miR‑584‑3p and miR‑138‑1‑3p, were significantly associated with CCRCC survival. In conclusion, these results suggested that the significantly dysregulated circRNAs, miRNAs and genes identified in this study may be considered potential biomarkers of the carcinogenesis of CCRCC and the survival of patients with this disease.
Insights
This study identifies key circular RNAs (circRNAs), microRNAs (miRNAs), and genes involved in clear cell renal cell carcinoma (CCRCC) development and patient survival. These molecules show potential as biomarkers for CCRCC carcinogenesis and prognosis.
Area of Science:
- Molecular Oncology
- Genomics
- Biomarker Discovery
Background:
- Circular RNAs (circRNAs) are increasingly implicated in cancer development.
- The precise regulatory roles of circRNAs, microRNAs (miRNAs), and genes in clear cell renal cell carcinoma (CCRCC) remain incompletely understood.
- Identifying these interactions is crucial for understanding CCRCC pathogenesis.
Purpose of the Study:
- To identify significantly dysregulated circRNAs, miRNAs, and genes in CCRCC.
- To construct a circRNA-miRNA-mRNA interaction network.
- To investigate the potential of these molecules as biomarkers for CCRCC carcinogenesis and patient survival.
Main Methods:
- Analysis of RNA microarray data from CCRCC and control samples (Gene Expression Omnibus, The Cancer Genome Atlas).
- Utilized databases for circRNA-miRNA interaction and miRNA-mRNA target prediction (Cancer-Specific circRNA Database, TargetScan, miRDB).
- Performed functional enrichment (Gene Ontology) and prognostic analyses using R.
Main Results:
- Identified 324 downregulated and 218 upregulated circRNAs in CCRCC tissues.
- Constructed a circRNA-miRNA-mRNA interaction network.
- Upregulated genes were enriched in metabolic and immune processes; downregulated genes in kidney development. Several hub genes and miRNAs were significantly associated with CCRCC survival.
Conclusions:
- Significantly dysregulated circRNAs, miRNAs, and genes were identified in CCRCC.
- These molecules form a complex regulatory network potentially driving CCRCC.
- The identified circRNAs, miRNAs, and genes represent promising potential biomarkers for CCRCC carcinogenesis and patient prognosis.

