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
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
相关论文
共 50 条
  • [1] Systematic identification of key genes and pathways in clear cell renal cell carcinoma on bioinformatics analysis
    Tian, Zhao-Hui
    Yuan, Cheng
    Yang, Kang
    Gao, Xing-Liang
    ANNALS OF TRANSLATIONAL MEDICINE, 2019, 7 (05)
  • [2] Identification of 8 Feature Genes Related to Clear Cell Renal Cell Carcinoma Progression Based on Co-Expression Analysis
    Yu, Xiaoxia
    Wu, Hua
    Wang, Hongmei
    Dong, He
    Gao, Bihu
    KIDNEY & BLOOD PRESSURE RESEARCH, 2022, 47 (02): : 113 - 124
  • [3] Identification of potential key genes and key pathways related to clear cell renal cell carcinoma through bioinformatics analysis
    Zhai, Wenxin
    Lu, Haijiao
    Dong, Shenghua
    Fang, Jing
    Yu, Zhuang
    ACTA BIOCHIMICA ET BIOPHYSICA SINICA, 2020, 52 (08) : 853 - 863
  • [4] Key pathways and genes controlling the development and progression of clear cell renal cell carcinoma (ccRCC) based on gene set enrichment analysis
    Huang, Haipeng
    Tang, Yanyan
    He, Wenwu
    Huang, Qi
    Zhong, Jianing
    Yang, Zhanbin
    INTERNATIONAL UROLOGY AND NEPHROLOGY, 2014, 46 (03) : 539 - 553
  • [5] Key pathways and genes controlling the development and progression of clear cell renal cell carcinoma (ccRCC) based on gene set enrichment analysis
    Haipeng Huang
    Yanyan Tang
    Wenwu He
    Qi Huang
    Jianing Zhong
    Zhanbin Yang
    International Urology and Nephrology, 2014, 46 : 539 - 553
  • [6] ACAT1 and Metabolism-Related Pathways Are Essential for the Progression of Clear Cell Renal Cell Carcinoma (ccRCC), as Determined by Co-expression Network Analysis
    Chen, Liang
    Peng, Tianchen
    Luo, Yongwen
    Zhou, Fenfang
    Wang, Gang
    Qian, Kaiyu
    Xiao, Yu
    Wang, Xinghuan
    FRONTIERS IN ONCOLOGY, 2019, 9
  • [7] Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma
    Wang, Jinxing
    Yuan, Lushun
    Liu, Xingnian
    Wang, Gang
    Zhu, Yuan
    Qian, Kaiyu
    Xiao, Yu
    Wang, Xinghuan
    ONCOLOGY LETTERS, 2018, 15 (06) : 9133 - 9141
  • [8] Identification of key genes and pathways in human glioblastoma multiforme by co-expression analysis
    Shi, Lei
    Luo, Yongwen
    Wang, Jianxiang
    Cao, Chengan
    Peng, Xiang
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2018, 11 (08): : 7740 - 7750
  • [9] Identification of key genes and signalling pathways in clear cell renal cell carcinoma: An integrated bioinformatics approach
    Vinoth, S.
    Balasubramania, Satheeswaran
    Perumal, Ekambaram
    Santhakumar, Kirankumar
    CANCER BIOMARKERS, 2024, 40 (01) : 111 - 123
  • [10] Co-expression Network Analysis Identifies Fourteen Hub Genes Associated with Prognosis in Clear Cell Renal Cell Carcinoma
    Jia-yi Chen
    Yan Sun
    Nan Qiao
    Yang-yang Ge
    Jian-hua Li
    Yun Lin
    Shang-long Yao
    Current Medical Science, 2020, 40 : 773 - 785