Transcriptome network analysis reveals candidate genes for renal cell carcinoma.

Abstract:

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.

journal_name

J Cancer Res Ther

authors

Zhai W,Xu YF,Liu M,Zheng JH

doi

10.4103/0973-1482.95170

subject

Has Abstract

pub_date

2012-01-01 00:00:00

pages

28-33

issue

1

eissn

0973-1482

issn

1998-4138

pii

JCanResTher_2012_8_1_28_95170

journal_volume

8

pub_type

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