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Updated: Apr 30, 2026
The Use of Reverse Phase Protein Arrays RPPA to Explore Protein Expression Variation within Individual Renal Cell Cancers
Published on: January 22, 2013
Identified differently expressed genes in renal cell carcinoma by using multiple microarray datasets running head:
1Department of Urinary Surgery, Affiliated Hospital of Luzhou Medical College in Sichuan Province, Luzhou, China. yongcheng1231@126.com.
Objective:
The purpose of this study was to identify differentially expressed genes and analysis biological processes related to renal cell carcinoma.
Methods:
A meta-analysis was performed using the Rank Product package of Gene Expression Omnibus datasets of renal cell carcinoma. Then Gene Ontology enrichment analyses and pathway analysis were performed based on Gene Ontology website and Kyoto Encyclopedia of Genes and Genomes. Protein-protein interaction network was constructed used Cytoscape software.
Results:
We identified a total of 1992 differentially expressed genes Rank Product package of renal cell carcinoma, 840 of them were not involved in individual DEGs. Gene Ontology enrichment analyses showed that those 840 genes enriched in terms such as response to hormone stimulus, endogenous stimulus, biological adhesion, and cell proliferation. Pathway analysis showed that significant pathways included pyruvate metabolism, glycerolipid metabolism, complement and coagulation cascades and so on. Protein-protein interaction network indicated that MT2A, MYC, CENPF and NEK2 has high degree which participated many interactions.
Conclusions:
Our study displayed genes that were consistently differentially expressed in renal cell carcinoma, and the biological pathways, protein-protein interaction network associated with those genes.
Insights
This study identified key genes and biological pathways involved in renal cell carcinoma (RCC). Findings highlight genes related to hormone response and cell proliferation, offering insights into RCC mechanisms.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Renal cell carcinoma (RCC) is a significant health concern.
- Understanding the molecular mechanisms of RCC is crucial for developing targeted therapies.
Purpose of the Study:
- To identify differentially expressed genes in renal cell carcinoma.
- To analyze biological processes and pathways associated with these genes.
Main Methods:
- Meta-analysis of Gene Expression Omnibus datasets using Rank Product.
- Gene Ontology (GO) enrichment and pathway analyses.
- Construction of protein-protein interaction (PPI) networks using Cytoscape.
Main Results:
- Identified 1992 differentially expressed genes in RCC.
- Enriched pathways include hormone response, endogenous stimulus, biological adhesion, and cell proliferation.
- Key genes (MT2A, MYC, CENPF, NEK2) identified in the PPI network.
Conclusions:
- This study identified consistently differentially expressed genes in RCC.
- Associated biological pathways and PPI networks provide insights into RCC pathogenesis.
