Comprehensive Analysis of lncRNA-Mediated ceRNA Crosstalk and Identification of Prognostic Biomarkers in Wilms' Tumor

被引:27
|
作者
Zheng, Hong [1 ]
Li, Bai-Hui [1 ,2 ]
Liu, Chang [1 ,3 ]
Jia, Li [1 ,4 ]
Liu, Feng-Ting [5 ]
机构
[1] Tianjin Med Univ Canc Inst & Hosp, Natl Clin Res Ctr Canc, Tianjins Clin Res Ctr Canc, Key Lab Canc Prevent & Therapy, Tianjin 300060, Peoples R China
[2] Tianjin Med Univ Canc Inst & Hosp, Dept Immunol, Tianjin 300060, Peoples R China
[3] Tianjin Med Univ Canc Inst & Hosp, Dept Lung Canc, Tianjin 300060, Peoples R China
[4] Queen Mary Univ London, Ctr Haematooncol, Barts Canc Inst, London EC1M 6BQ, England
[5] Tianjin Union Med Ctr, Dept Hematol & Oncol, Tianjin 300191, Peoples R China
关键词
NONCODING RNA PVT1; CELL-PROLIFERATION; MICRORNAS; PACKAGE;
D O I
10.1155/2020/4951692
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Wilms' tumor (WT) is the most common type of childhood kidney cancer, and most cases present with favorable histology and respond well to standard treatment. However, a subset of patients with WT is diagnosed with bilateral, relapsed, and high-risk tumors which remain the leading cause of cancer-related death in children. Long noncoding RNAs (lncRNAs) and their aberrant expression have currently been attracting great attention as oncogenes or tumor suppressors during tumor initiation and progression. So far, their roles and related competitive endogenous RNA (ceRNA) network remain unelucidated in nephroblastoma pathogenesis. We comprehensively integrated lncRNA, microRNA (miRNA), and messenger RNA (mRNA) expression profiles from the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) database and screened out differentially expressed mRNAs (DEMs), lncRNAs (DELs), and miRNAs (DEMis) to construct a ceRNA network based on the information generated from miRcode, miRTarBase, TargetScan, and miRDB. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to analyze the functional characteristics of DEMs in the ceRNA network. The interaction between protein molecules was also analyzed by establishing a protein-protein interaction network. Finally, prognosis-related biomarkers were identified via survival analysis. Initially, 1647 DELs, 115 DEMis, and 3280 DEMs (|log FC| > 2; FDR < 0.01) were obtained using the R package. Next, we constructed a lncRNA-miRNA-mRNA network (ceRNA network), in which 176 DELs, 24 DEMis, and 141 DEMs were identified. Furthermore, 148 functional enrichment terms from GO were identified and 29 KEGG pathways were found to be significantly enriched. We also integrated patient clinical information to analyze the association between DERNAs and patient prognosis. We found that high expression of 8 DELs (LINC00473, AL445228.2, DENND5B-AS1, DLEU2, AC123595.1, AC135178.1, LINC00535, and LMO7-AS1) and 4 DEMs (CEP55, DEPDC1, PHF19, and TRIM36) correlated with poor survival in a patient with WT, whereas high expression of 2 DELs (MEG3 and RMST), 1 DEM (KIAA0922), and 1 DEMi (hsa-mir-200a) could possibly lead to better clinical outcomes. For the first time, the present study provided a novel insight into lncRNA-related ceRNA networks and identified potential prognostic biomarkers in Wilms' tumor.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Identification of lncRNA biomarkers in hepatocellular carcinoma by comprehensive analysis of the lncRNA-mediated ceRNA network
    Ye, Dingde
    Liu, Yaping
    Chen, Yanuo
    Li, Guoqiang
    Sun, Beicheng
    Peng, Jin
    Xu, Qingxiang
    FRONTIERS IN GENETICS, 2022, 13
  • [2] Analysis of lncRNA-Mediated ceRNA Crosstalk and Identification of Prognostic Signature in Head and Neck Squamous Cell Carcinoma
    Pan, Yunbao
    Liu, Guohong
    Wang, Dujuan
    Li, Yirong
    FRONTIERS IN PHARMACOLOGY, 2019, 10
  • [3] Comprehensive analysis of lncRNA biomarkers in kidney renal clear cell carcinoma by lncRNA-mediated ceRNA network
    Gong, Ke
    Xie, Ting
    Luo, Yong
    Guo, Hui
    Chen, Jinlan
    Tan, Zhiping
    Yang, Yifeng
    Xie, Li
    PLOS ONE, 2021, 16 (06):
  • [4] Comprehensive analysis of lncRNA-mediated ceRNA networkfor hepatocellular carcinoma
    Chen, Weiqing
    Chen, Feihua
    Gong, Mouchun
    Jin, Zhaoqing
    Shu, Lilu
    Wang, Zhi-wei
    Wang, Jianjiang
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [5] Comprehensive analysis of lncRNA-mediated ceRNA network in papillary thyroid cancer
    Sun, Y.
    Dai, W. -R.
    Xia, N.
    EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2020, 24 (19) : 10003 - 10014
  • [6] Integrated Analysis of lncRNA-Mediated ceRNA Network Reveals a Prognostic Signature for Hepatocellular Carcinoma
    Sun, Jian-Rong
    Kong, Chen-Fan
    Xiao, Kun-Min
    Yang, Jia-Lu
    Qu, Xiang-Ke
    Sun, Jing-Hui
    FRONTIERS IN GENETICS, 2020, 11
  • [7] Construction of lncRNA-mediated ceRNA network to reveal clinically relevant lncRNA biomarkers in glioblastomas
    Zan, Xiang-Yang
    Li, Luo
    ONCOLOGY LETTERS, 2019, 17 (05) : 4369 - 4374
  • [8] Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network
    Li, Rui
    Yang, Yi-E
    Jin, Jia
    Zhang, Meng-Yu
    Liu, Xiao
    Liu, Xiao-Xia
    Yin, Yun-Hong
    Qu, Yi-Qing
    ARTIFICIAL CELLS NANOMEDICINE AND BIOTECHNOLOGY, 2019, 47 (01) : 3246 - 3258
  • [9] Integrated Analysis of lncRNA-Mediated ceRNA Network in Lung Adenocarcinoma
    Wu, Xianxian
    Sui, Zhilin
    Zhang, Hongdian
    Wang, Ying
    Yu, Zhentao
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [10] Comprehensive analysis of lncRNA-mediated ceRNA network in renal cell carcinoma based on GEO database
    Yang, Tianci
    Li, Yixuan
    Zheng, Zhouhang
    Qu, Pei
    Shao, Zhiang
    Wang, Jufang
    Ding, Nan
    Wang, Wei
    MEDICINE, 2024, 103 (35)