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Candidate Biomarkers and Molecular Mechanism Investigation for Glioblastoma Multiforme Utilizing WGCNA
- Source :
- BioMed Research International, BioMed Research International, Vol 2018 (2018)
- Publication Year :
- 2018
- Publisher :
- Hindawi Limited, 2018.
-
Abstract
- To reveal the potential molecular mechanism of glioblastoma multiforme (GBM) and provide the candidate biomarkers for GBM gene therapy. Microarray dataset GSE50161 was obtained from GEO database. The differentially expressed genes (DEGs) were identified between GBM samples and control samples, followed by the module partition analysis based on WGCNA. Then, the pathway and functional enrichment analyses of DEGs were performed. The hub genes were further investigated, followed by the survival analysis and data validation. A total of 1913 DEGs were investigated between two groups, followed by analysis of 5 modules using WGCNA. These DEGs were mainly enriched in functions like inflammatory response. The hub genes including upregulated N-Myc and STAT Interactor (NMI), Capping Actin Protein-Gelsolin Like (CAPG), and Proteasome Subunit Beta 8 (PSMB8) were revealed as potential liquid biopsy molecules for GBM diagnose. Moreover, Nucleolar and Spindle Associated Protein 1 (NUSAP1) and G Protein-Coupled Receptor 65 (GPR65) were outstanding genes in survival analysis. Our results suggested that CPNE6, HAPLN2, CMTM3, NMI, CAPG, and PSMB8 might be used as potential molecules for liquid biopsy of GBM. NUSAP1 and GPR65 might be novel prognostic targets for GBM gene therapy. Furthermore, the upregulated NMI might play an important role in GBM progression via inflammatory response.
- Subjects :
- 0301 basic medicine
Article Subject
Microarray
lcsh:Medicine
Biology
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
0302 clinical medicine
Downregulation and upregulation
Biomarkers, Tumor
Humans
Gene Regulatory Networks
Liquid biopsy
Gene
Inflammation
Regulation of gene expression
General Immunology and Microbiology
Gene Expression Profiling
lcsh:R
Computational Biology
PSMB8
General Medicine
Prognosis
Up-Regulation
Gene Expression Regulation, Neoplastic
030104 developmental biology
Proteasome
030220 oncology & carcinogenesis
Cancer research
Glioblastoma
HAPLN2
Research Article
Subjects
Details
- ISSN :
- 23146141 and 23146133
- Volume :
- 2018
- Database :
- OpenAIRE
- Journal :
- BioMed Research International
- Accession number :
- edsair.doi.dedup.....8503693ea99cef124eb82100a199a3a0