title: Identification of genes associated with renal cell carcinoma using gene expression profiling analysis.
abstract: Renal cell carcinoma (RCC) is the most common type of kidney cancer in adults and accounts for ~80% of all kidney cancer cases. However, the pathogenesis of RCC has not yet been fully elucidated. To interpret the pathogenesis of RCC at the molecular level, gene expression data and bio-informatics methods were used to identify RCC associated genes. Gene expression data was downloaded from Gene Expression Omnibus (GEO) database and identified differentially coexpressed genes (DCGs) and dysfunctional pathways in RCC patients compared with controls. In addition, a regulatory network was constructed using the known regulatory data between transcription factors (TFs) and target genes in the University of California Santa Cruz (UCSC) Genome Browser (http://genome.ucsc.edu) and the regulatory impact factor of each TF was calculated. A total of 258,0427 pairs of DCGs were identified. The regulatory network contained 1,525 pairs of regulatory associations between 126 TFs and 1,259 target genes and these genes were mainly enriched in cancer pathways, ErbB and MAPK. In the regulatory network, the 10 most strongly associated TFs were FOXC1, GATA3, ESR1, FOXL1, PATZ1, MYB, STAT5A, EGR2, EGR3 and PELP1. GATA3, ERG and MYB serve important roles in RCC while FOXC1, ESR1, FOXL1, PATZ1, STAT5A and PELP1 may be potential genes associated with RCC. In conclusion, the present study constructed a regulatory network and screened out several TFs that may be used as molecular biomarkers of RCC. However, future studies are needed to confirm the findings of the present study.
authors.affiliation: Physical Examination Center, Laiwu, Shandong 271100, P.R. China.
authors.forename: Ting
authors.initials: T
authors.lastname: Yao
authors.affiliation: Department of Chronic Non-Communicable Diseases Control and Prevention, Laiwu Center for Disease Control and Prevention, Laiwu, Shandong 271100, P.R. China.
authors.forename: Qinfu
authors.initials: Q
authors.lastname: Wang
authors.affiliation: Department of Health Education, Laiwu Center for Disease Control and Prevention, Laiwu, Shandong 271100, P.R. China.
authors.forename: Wenyong
authors.initials: W
authors.lastname: Zhang
authors.affiliation: Department of Health Inspection, Laiwu Center for Disease Control and Prevention, Laiwu, Shandong 271100, P.R. China.
authors.forename: Aihong
authors.initials: A
authors.lastname: Bian
authors.affiliation: Department of Communicable Diseases Control and Prevention, Laiwu Center for Disease Control and Prevention, Laiwu, Shandong 271100, P.R. China.
authors.forename: Jinping
authors.initials: J
authors.lastname: Zhang
keywords: bioinformatics analysis; differentially coexpressed genes; molecular biomarker; renal cell carcinoma; transcription factors