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Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis

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....

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Autores principales: Li, Chun, Pu, Bangming, Gu, Long, Zhang, Mingwei, Shen, Hongping, Yuan, Yuan, Liao, Lishang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931238/
https://www.ncbi.nlm.nih.gov/pubmed/33423377
http://dx.doi.org/10.1002/2211-5463.13078
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author Li, Chun
Pu, Bangming
Gu, Long
Zhang, Mingwei
Shen, Hongping
Yuan, Yuan
Liao, Lishang
author_facet Li, Chun
Pu, Bangming
Gu, Long
Zhang, Mingwei
Shen, Hongping
Yuan, Yuan
Liao, Lishang
author_sort Li, Chun
collection PubMed
description 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.
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spelling pubmed-79312382021-03-15 Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis Li, Chun Pu, Bangming Gu, Long Zhang, Mingwei Shen, Hongping Yuan, Yuan Liao, Lishang FEBS Open Bio Research Articles 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. John Wiley and Sons Inc. 2021-02-09 /pmc/articles/PMC7931238/ /pubmed/33423377 http://dx.doi.org/10.1002/2211-5463.13078 Text en © 2021 The Authors. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Li, Chun
Pu, Bangming
Gu, Long
Zhang, Mingwei
Shen, Hongping
Yuan, Yuan
Liao, Lishang
Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
title Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
title_full Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
title_fullStr Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
title_full_unstemmed Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
title_short Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
title_sort identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931238/
https://www.ncbi.nlm.nih.gov/pubmed/33423377
http://dx.doi.org/10.1002/2211-5463.13078
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