TY  - JOUR
A1  - Luo, Ting
A1  - Chen, Xiaoyi
A1  - Zeng, Shufei
A1  - Guan, Baozhang
A1  - Hu, Bo
A1  - Meng, Yu
A1  - Liu, Fanna
A1  - Wong, Taksui
A1  - Lu, Yongpin
A1  - Yun, Chen
A1  - Hocher, Berthold
A1  - Yin, Lianghong
T1  - Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma
JF  - Oncology Letters
N2  - The present study aimed to identify new key genes as potential biomarkers for the diagnosis, prognosis or targeted therapy of clear cell renal cell carcinoma (ccRCC). Three expression profiles (GSE36895, GSE46699 and GSE71963) were collected from Gene Expression Omnibus. GEO2R was used to identify differentially expressed genes (DEGs) in ccRCC tissues and normal samples. The Database for Annotation, Visualization and Integrated Discovery was utilized for functional and pathway enrichment analysis. STRING v10.5 and Molecular Complex Detection were used for protein-protein interaction (PPI) network construction and module analysis, respectively. Regulation network analyses were performed with the WebGestal tool. UALCAN web-portal was used for expression validation and survival analysis of hub genes in ccRCC patients from The Cancer Genome Atlas (TCGA). A total of 65 up- and 164 downregulated genes were identified as DEGs. DEGs were enriched with functional terms and pathways compactly related to ccRCC pathogenesis. Seventeen hub genes and one significant module were filtered out and selected from the PPI network. The differential expression of hub genes was verified in TCGA patients. Kaplan-Meier plot showed that high mRNA expression of enolase 2 (ENO2) was associated with short overall survival in ccRCC patients (P=0.023). High mRNA expression of cyclin D1 (CCND1) (P<0.001), fms related tyrosine kinase 1 (FLT1) (P=0.004), plasminogen (PLG) (P<0.001) and von Willebrand factor (VWF) (P=0.008) appeared to serve as favorable factors in survival. These findings indicate that the DEGs may be key genes in ccRCC pathogenesis and five genes, including ENO2, CCND1, PLT1, PLG and VWF, may serve as potential prognostic biomarkers in ccRCC.
KW  - clear cell renal cell carcinoma
KW  - bioinformatics
KW  - differentially expressed genes
KW  - biomarkers
KW  - Kaplan-Meier plot
Y1  - 2018
U6  - https://doi.org/10.3892/ol.2018.8842
SN  - 1792-1074
SN  - 1792-1082
VL  - 16
IS  - 2
SP  - 1747
EP  - 1757
PB  - Spandidos publ LTD
CY  - Athens
ER  -