Identification of co-expression modules and hub genes of retinoblastoma via co-expression analysis and protein-protein interaction networks

被引:8
|
作者
Mao, Yukun [1 ]
Nie, Qingbin [2 ]
Yang, Yang [2 ]
Mao, Gengsheng [2 ]
机构
[1] Wuhan Univ, Dept Orthoped, Zhongnan Hosp, Wuhan 430071, Hubei, Peoples R China
[2] Chinese PLA Peoples Liberat Army Gen Hosp, Med Ctr 3, Dept Neurovasc Surg, 69 Yongding Rd, Beijing 100039, Peoples R China
关键词
retinoblastoma; coexpression modules; hub genes; weighted gene coexpression network analysis; protein-protein interaction networks; CELL-CYCLE; HEREDITARY RETINOBLASTOMA; NEUROBLASTOMA; RISK; CHEMOTHERAPY; SURVIVORS; CANCER; DIFFERENTIATION; POLYMORPHISMS; ASSOCIATION;
D O I
10.3892/mmr.2020.11189
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Retinoblastoma is a common intraocular malignant tumor in children. However, the molecular and genetic mechanisms of retinoblastoma remain unclear. The gene expression dataset GSE110811 was retrieved from Gene Expression Omnibus. After preprocessing, coexpression modules were constructed by weighted gene coexpression network analysis (WGCNA), and modules associated with clinical traits were identified. In addition, functional enrichment analysis was performed for genes in the indicated modules, and protein-protein interaction (PPI) networks and subnetworks were constructed based on these genes. Eight coexpression modules were constructed through WGCNA. Of these, the yellow module had the highest association with severity and age (r=0.82 and P=3e-07; r=0.72 and P=3e-05). The turquoise module had the highest association with months (r=-0.63 and P=5e-04). The genes in the two modules participate in multiple pathways of retinoblastoma, and by combining the PPI network and subnetworks; 10 hub genes were identified in the two modules. The present study identified coexpression modules and hub genes associated with clinical traits of retinoblastoma, providing novel insight into retinoblastoma progression.
引用
收藏
页码:1155 / 1168
页数:14
相关论文
共 50 条
  • [31] Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease
    Jing Liu
    Ling Jing
    Xilin Tu
    BMC Cardiovascular Disorders, 16
  • [32] Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease
    Liu, Jing
    Jing, Ling
    Tu, Xilin
    BMC CARDIOVASCULAR DISORDERS, 2016, 16
  • [33] Weighted gene co-expression network analysis of hub genes in lung adenocarcinoma
    Luo, Xuan
    Feng, Lei
    Xu, WenBo
    Bai, XueJing
    Wu, MengNa
    EVOLUTIONARY BIOINFORMATICS, 2021, 17
  • [34] Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks
    Deng, Su-Ping
    Zhu, Lin
    Huang, De-Shuang
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2016, 13 (01) : 27 - 35
  • [35] Weighted gene co-expression network analysis for hub genes in colorectal cancer
    Zheng Xu
    Jianing Wang
    Guosheng Wang
    Pharmacological Reports, 2024, 76 : 140 - 153
  • [36] Weighted gene co-expression network analysis for hub genes in colorectal cancer
    Xu, Zheng
    Wang, Jianing
    Wang, Guosheng
    PHARMACOLOGICAL REPORTS, 2024, 76 (01) : 140 - 153
  • [37] Identification of co-expression modules and pathways correlated with osteosarcoma and its metastasis
    Wang, Jian-sheng
    Wang, Yun-guo
    Zhong, Yong-sheng
    Li, Xue-dong
    Du, Shi-xin
    Xie, Peng
    Zheng, Gui-zhou
    Han, Jing-ming
    WORLD JOURNAL OF SURGICAL ONCOLOGY, 2019, 17 (1)
  • [38] Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma
    Li, Min
    Zhu, Wenye
    Wang, Chu
    Zheng, Yuanyuan
    Sun, Shibo
    Fang, Yan
    Luo, Zhuang
    BMC PULMONARY MEDICINE, 2021, 21 (01)
  • [39] Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma
    Min Li
    Wenye Zhu
    Chu Wang
    Yuanyuan Zheng
    Shibo Sun
    Yan Fang
    Zhuang Luo
    BMC Pulmonary Medicine, 21
  • [40] Identifying genuine protein-protein interactions within communities of gene co-expression networks using a deconvolution method
    Zhang, Jin
    Ju, Shan
    IET SYSTEMS BIOLOGY, 2019, 13 (06) : 290 - 296