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.
Written by:
Zhai W, Xu YF, Liu M, Zheng JH. Are you the author?
Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Reference: J Cancer Res Ther. 2012 Jan-Mar;8(1):28-33.
doi: 10.4103/0973-1482.95170
PubMed Abstract
PMID: 22531510
UroToday.com Investigative Urology Section
