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ORIGINAL ARTICLE
Year : 2012  |  Volume : 8  |  Issue : 1  |  Page : 28-33

Transcriptome network analysis reveals candidate genes for renal cell carcinoma


Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China

Correspondence Address:
Jun-Hua Zheng
Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0973-1482.95170

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Context: Renal cell carcinoma (RCC) is a kidney cancer that originates in renal parenchyma and it is the most common type of kidney cancer with approximately 80% lethal cases. Aims: To interpret the mechanism, explore the regulation of TF-target genes and TF-pathway, and identify the potential key genes of renal cell carcinoma. Settings and Design: After constructing a regulation network from differently expressed genes and transcription factors, pathway regulation network and gene ontology (GO) enrichment analysis were made. Materials and Methods: The gene expression profile set GSE6344, a renal cell carcinoma sample set, was collected from NCBI, pathway data from KEGG, and regulationship data from database TRANSFAC and TRED. Statistical Analysis Used: Besides different expressed genes obtained by limma, impact analysis method and GO enrichment were applied to find the significant expressed pathways. Results: Finally, we constructed a TF-target gene and TF-pathway regulation network of renal cell carcinoma. And some genes proved to be highly related to renal cell carcinoma were identified. Conclusions: This study illustrated that by incorporating significantly expressed pathway into a regulation network based analysis, one can derive greater insights into the underlying mechanisms of renal cell carcinoma.


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