Back to Search
Start Over
Comprehensive Bioinformatics Analysis of mRNA Expression Profiles and Identification of a miRNA–mRNA Network Associated with the Pathogenesis of Low-Grade Gliomas
- Source :
- Cancer Management and Research
- Publication Year :
- 2021
- Publisher :
- Dove Press, 2021.
-
Abstract
- Ming Wang, Yan Cui, Yang Cai, Yugang Jiang, Yong Peng Department of Neurosurgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, Peopleâs Republic of ChinaCorrespondence: Yong PengDepartment of Neurosurgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, Peopleâs Republic of ChinaTel +86-18874909698Fax +86-731 85295110Email 188201058@csu.edu.cnPurpose: Low-grade glioma is the most common type of primary intracranial tumour, and the overall survival of patients with low-grade glioma (LGG) has shown no significant improvement over the past few decades. Therefore, it is crucial to understand the precise molecular mechanisms involved in the carcinogenesis of LGG.Methods: To investigate the regulatory mechanisms of mRNAâmiRNA networks related to LGG, in the present study, a comprehensive analysis of the genomic landscape between low-grade gliomas and normal brain tissues from the GEO and TCGA datasets was first conducted to identify differentially expressed genes (DEGs) and differentially expressed miRNAs in LGG. Following a series of analyses, including WGCNA, GO and KEGG analyses, PPI and key model analyses, and survival analysis of the DEGs with clinical phenotypes, the potential key genes were screened and identified, and the related miRNAâmRNA networks were subsequently constructed through miRWalk 3.0. Finally, the potential miRNAâmRNA networks were further validated in CGGA (Chinese Glioma Genome Atlas) datasets and clinical specimens by qRT-PCR.Results: In our results, six hub genes, MELK, NCAPG, KIF4A, NUSAP1, CEP55, and TOP2A, were ultimately identified. Two regulatory pathways, miR-495-3p-TOP2A and miR-1224-3p-MELK, that regulate the pathogenesis of LGG were ultimately identified. Furthermore, the expression of miR-495-3p-TOP2A and miR-1224-3p-MELK in solid tissues was validated by qRT-PCR.Conclusion: Our study identified hub genes and related miRNAâmRNA regulatory pathways that contribute to the carcinogenesis of LGG, which may help us reveal the mechanisms underlying the development of LGG.Keywords: low-grade glioma, miRNAâmRNA network, bioinformatics analysis, weighted gene coexpression
- Subjects :
- bioinformatics analysis
low-grade glioma
miRNA–mRNA network
Computational biology
Biology
medicine.disease
medicine.disease_cause
Phenotype
Genome
Oncology
weighted gene coexpression
Cancer Management and Research
Glioma
microRNA
medicine
KIF4A
KEGG
Carcinogenesis
Survival analysis
Original Research
Subjects
Details
- Language :
- English
- ISSN :
- 11791322
- Database :
- OpenAIRE
- Journal :
- Cancer Management and Research
- Accession number :
- edsair.doi.dedup.....49b34c0136f4f1732333cb5196af6771