Identification of key genes and pathways in human clear cell renal cell carcinoma (ccRCC) by co-expression analysis

被引:64
作者
Yuan, Lushun [1 ,2 ]
Zeng, Guang [1 ]
Chen, Liang [1 ]
Wang, Gang [1 ,2 ,3 ]
Wang, Xiaolong [4 ]
Cao, Xinyue [3 ]
Lu, Mengxin [1 ]
Liu, Xuefeng [5 ]
Qian, Guofeng [6 ]
Xiao, Yu [1 ,3 ,7 ]
Wang, Xinghuan [1 ,2 ]
机构
[1] Wuhan Univ, Zhongnan Hosp, Dept Urol, Wuhan, Hubei, Peoples R China
[2] Wuhan Univ, Sch Med, Med Res Inst, Wuhan, Hubei, Peoples R China
[3] Wuhan Univ, Zhongnan Hosp, Dept Biol Repositories, Wuhan, Hubei, Peoples R China
[4] Ludwig Maximilians Univ Munchen, Dept Urol, Munich, Germany
[5] Georgetown Univ, Med Sch, Lombardi Comprehens Canc Ctr, Dept Pathol, Washington, DC USA
[6] Zhejiang Univ, Affiliated Hosp 1, Dept Endocrinol, Hangzhou, Zhejiang, Peoples R China
[7] Wuhan Univ, Zhongnan Hosp, Lab Precis Med, Wuhan, Hubei, Peoples R China
来源
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES | 2018年 / 14卷 / 03期
基金
中国国家自然科学基金;
关键词
clear cell renal cell carcinoma ( ccRCC); differentially expressed genes (DEGs); biomarker; weighted gene co-expression network analysis (WGCNA); protein-protein interaction (PPI); PROTEIN-INTERACTION NETWORKS; TUMOR-SUPPRESSOR PROTEIN; OXIDATIVE-PHOSPHORYLATION; CANCER; EXPRESSION; PROGRESSION; METABOLISM; INVASION; PROLIFERATION; CONTRIBUTES;
D O I
10.7150/ijbs.23574
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Human clear cell renal cell carcinoma (ccRCC) is the most common solid lesion within kidney, and its prognostic is influenced by the progression covering a complex network of gene interactions. In our study, we screened differential expressed genes, and constructed protein-protein interaction (PPI) network and a weighted gene co-expression network to identify key genes and pathways associated with the progression of ccRCC (n = 56). Functional and pathway enrichment analysis demonstrated that upregulated differentially expressed genes (DEGs) were significantly enriched in response to wounding, positive regulation of immune system process, leukocyte activation, immune response and cell activation. Downregulated DEGs were significantly enriched in oxidation reduction, monovalent inorganic cation transport, ion transport, excretion and anion transport. In the PPI network, top 10 hub genes were identified (TOP2A, MYC, ALB, CDK1, VEGFA, MMP9, PTPRC, CASR, EGFR and PTGS2). In co-expression network, 6 ccRCC-related modules were identified. They were associated with immune response, metabolic process, cell cycle regulation, angiogenesis and ion transport. In conclusion, our study illustrated the hub genes and pathways involved in the progress of ccRCC, and further molecular biological experiments are needed to confirm the function of the candidate biomarkers in human ccRCC.
引用
收藏
页码:266 / 279
页数:14
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