ArticleFEBS open bio2021
Identification of key modules and hub genes in glioblastoma multiforme based on co-expression network analysis.
Article in FEBS open bio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- The Potential of Chronotherapy and Nanotherapy-Based Strategies for Glioblastoma Treatment.Pharmaceutics · 2026Review
- Immunogenic cell death-related macrophage gene model for prognostic prediction in glioblastoma.Discover oncology · 2025Article
- The Roles of SHCBP1 in Cancer Hallmarks: Molecular Mechanisms and Therapeutic Implications.International journal of molecular sciences · 2025Review
- Identifying behavior regulatory leverage over mental disorders transcriptomic network hubs toward lifestyle-dependent psychiatric drugs repurposing.Human genomics · 2025Article
- Discovery of key molecular signatures for diagnosis and therapies of glioblastoma by combining supervised and unsupervised learning approaches.Scientific reports · 2024Article
- GARNL3 identified as a crucial target for overcoming temozolomide resistance in EGFRvIII-positive glioblastoma.American journal of translational research · 2024Article
- Integrated Transcriptome Profiling Identifies Prognostic Hub Genes as Therapeutic Targets of Glioblastoma: Evidenced by Bioinformatics Analysis.ACS omega · 2022Article
- Glioblastoma gene network reconstruction and ontology analysis by online bioinformatics tools.Journal of integrative bioinformatics · 2021Article
- Inhibiting microcephaly genes as alternative to microtubule targeting agents to treat brain tumors.Cell death & disease · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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