Screening of core genes and prediction of ceRNA regulation mechanism of circRNAs in nasopharyngeal carcinoma by bioinformatics analysis

被引:0
|
作者
Chen, HongMin [1 ]
Shi, XiaoXiao [2 ]
Ren, Li [3 ]
Wan, YuMing [1 ]
Zhuo, HongYu [1 ]
Zeng, Li [1 ]
SangDan, WangMu [4 ]
Wang, Feng [1 ]
机构
[1] Sichuan Univ, West China Hosp, Canc Ctr, West China Med Sch,Dept Med Oncol, Chengdu, Sichuan, Peoples R China
[2] Sichuan Univ, Chengdu Shangjin Nanfu Hosp, West China Hosp, Dept Med Oncol, Chengdu, Peoples R China
[3] Sichuan Univ, West China Hosp, Canc Ctr, Dept Thorac Oncol, Chengdu, Peoples R China
[4] Peoples Hosp Tibet Autonomous Reg, Dept Oncol, Lhasa, Peoples R China
关键词
TCGA; nasopharyngeal carcinoma; weighted gene co-expression network analysis; GEO database; fibronectin; 1; DIFFERENTIAL EXPRESSION ANALYSIS; CELLS; BIOMARKERS; SUPPRESSES; PACKAGE;
D O I
10.3389/pore.2023.1610960
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Nasopharyngeal carcinoma (NPC) represents a highly aggressive malignant tumor. Competing endogenous RNAs (ceRNA) regulation is a common regulatory mechanism in tumors. The ceRNA network links the functions between mRNAs and ncRNAs, thus playing an important regulatory role in diseases. This study screened the potential key genes in NPC and predicted regulatory mechanisms using bioinformatics analysis.Methods: The merged microarray data of three NPC-related mRNA expression microarrays from the Gene Expression Omnibus (GEO) database and the expression data of tumor samples or normal samples from the nasopharynx and tonsil in The Cancer Genome Atlas (TCGA) database were both subjected to differential analysis and Weighted Gene Co-expression Network Analysis (WGCNA). The results from two different databases were intersected with WGCNA results to obtain potential regulatory genes in NPC, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses. The hub-gene in candidate genes was discerned through Protein-Protein Interaction (PPI) analysis and its upstream regulatory mechanism was predicted by miRwalk and circbank databases.Results: Totally 68 upregulated genes and 96 downregulated genes in NPC were screened through GEO and TCGA. According to WGCNA, the NPC-related modules were screened from GEO and TCGA analysis results, and the genes in the modules were obtained. After the results of differential analysis and WGCNA were intersected, 74 differentially expressed candidate genes associated with NPC were discerned. Finally, fibronectin 1 (FN1) was identified as a hub-gene in NPC. Prediction of upstream regulatory mechanisms of FN1 suggested that FN1 may be regulated by ceRNA mechanisms involving multiple circRNAs, thereby influencing NPC progression through ceRNA regulation.Conclusion: FN1 is identified as a key regulator in NPC development and is likely to be regulated by numerous circRNA-mediated ceRNA mechanisms.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis
    Yuanji Xu
    Xinyi Huang
    Wangzhong Ye
    Yangfan Zhang
    Changkun Li
    Penggang Bai
    Zhizhong Lin
    Chuanben Chen
    Cancer Cell International, 20
  • [2] Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis
    Xu, Yuanji
    Huang, Xinyi
    Ye, Wangzhong
    Zhang, Yangfan
    Li, Changkun
    Bai, Penggang
    Lin, Zhizhong
    Chen, Chuanben
    CANCER CELL INTERNATIONAL, 2020, 20 (01)
  • [3] Comprehensive Analysis of Key Genes Associated with ceRNA Networks in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis
    Xinyi, H.
    Chen, C.
    Xu, Y.
    Zhang, Y.
    Li, C.
    Lin, Z.
    Ye, W.
    Bai, P.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (03): : E535 - E535
  • [4] Screening Key Genes and Biological Pathways in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis
    Tai, Junhu
    Park, Jaehyung
    Han, Munsoo
    Kim, Tae Hoon
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (24)
  • [5] Identification of genes and pathways in nasopharyngeal carcinoma by bioinformatics analysis
    Chen, Fang
    Shen, Congxiang
    Wang, Xiaoqi
    Wang, Huigang
    Liu, Yanhui
    Yu, Chaosheng
    Lv, Jieyu
    He, Jingjing
    Wen, Zhong
    ONCOTARGET, 2017, 8 (38) : 63738 - 63749
  • [6] Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma
    Liu, Kang
    Kang, Min
    Zhou, Ziyan
    Qin, Wen
    Wang, Rensheng
    ONCOLOGY LETTERS, 2019, 18 (04) : 3637 - 3645
  • [7] Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis
    Zhu, Hong-Ming
    Fei, Qian
    Qian, Lu-Xi
    Liu, Bao-Ling
    He, Xia
    Yin, Li
    ONCOLOGY LETTERS, 2019, 17 (05) : 4683 - 4694
  • [8] Identification of methylated genes and miRNA signatures in nasopharyngeal carcinoma by bioinformatics analysis
    Wang, Yingli
    Zhao, Qun
    Lan, Na
    Wang, Shuqian
    MOLECULAR MEDICINE REPORTS, 2018, 17 (04) : 4909 - 4916
  • [9] Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis
    Zou, Zhenning
    Gan, Siyuan
    Liu, Shuguang
    Li, Rujia
    Huang, Jian
    ONCOLOGY LETTERS, 2019, 18 (01) : 916 - 926
  • [10] Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis
    Shen, Shu
    Kong, Junjie
    Qiu, Yiwen
    Yang, Xianwei
    Wang, Wentao
    Yan, Lvnan
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2019, 120 (06) : 10069 - 10081