Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
| Autor: | Mingwei Zhang, Long Gu, Bangming Pu, Hongping Shen, Chun Li, Yuan Yuan, Lishang Liao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Human Protein Atlas Computational biology Biology survival General Biochemistry Genetics and Molecular Biology 03 medical and health sciences glioblastoma multiforme 0302 clinical medicine Gene expression Biomarkers Tumor Humans Gene Regulatory Networks Gene lcsh:QH301-705.5 Research Articles Survival analysis Brain Neoplasms WGCNA Gene Expression Profiling DNA replication Computational Biology biomarkers Cell cycle TCGA Prognosis Survival Analysis Gene Expression Regulation Neoplastic Gene expression profiling 030104 developmental biology lcsh:Biology (General) 030220 oncology & carcinogenesis Pyrimidine metabolism Glioblastoma Research Article |
| Zdroj: | FEBS Open Bio, Vol 11, Iss 3, Pp 833-850 (2021) FEBS Open Bio |
| ISSN: | 2211-5463 |
| Popis: | Glioblastoma multiforme (GBM) is the most malignant primary tumour in the central nervous system, but the molecular mechanisms underlying its pathogenesis remain unclear. In this study, data set GSE50161 was used to construct a co‐expression network for weighted gene co‐expression network analysis. Two modules (dubbed brown and turquoise) were found to have the strongest correlation with GBM. Functional enrichment analysis indicated that the brown module was involved in the cell cycle, DNA replication, and pyrimidine metabolism. The turquoise module was primarily related to circadian rhythm entrainment, glutamatergic synapses, and axonal guidance. Hub genes were screened by survival analysis using The Cancer Genome Atlas and Human Protein Atlas databases and further tested using the GSE4290 and Gene Expression Profiling Interactive Analysis databases. The eight hub genes (NUSAP1, SHCBP1, KNL1, SULT4A1, SLC12A5, NUF2, NAPB, and GARNL3) were verified at both the transcriptional and translational levels, and these gene expression levels were significant based on the World Health Organization classification system. These hub genes may be potential biomarkers and therapeutic targets for the accurate diagnosis and management of GBM. The molecular mechanisms underlying the pathogenesis of glioblastoma multiforme remain unclear. In this study, data set GSE50161 was used to construct a co‐expression network for analysis. We found the two modules (dubbed brown and turquoise) and eight hub genes (NUSAP1, SHCBP1, KNL1, SULT4A1, SLC12A5, NUF2, NAPB and GARNL3 that were most strongly associated with GBM. These hub genes may be potential biomarkers and therapeutic targets for the accurate diagnosis and management of GBM. |
| Databáze: | OpenAIRE |
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