ArticlePeerJ2019
Identification of differentially expressed key genes between glioblastoma and low-grade glioma by bioinformatics analysis.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Article
- STAT3 drives the malignant progression of low-grade gliomas through modulating the expression of STAT1, FOXO1, and MYC.Frontiers in molecular biosciences · 2024Article
- Expressions of the satellite repeat HSAT5 and transposable elements are implicated in disease progression and survival in glioma.Turkish journal of biology = Turk biyoloji dergisi · 2024Article
- Molecular Insights and Prognosis Associated With RBM8A in Glioblastoma.Frontiers in molecular biosciences · 2022Article
- Cancer immune profiling unveils biomarkers, immunological pathways, and cell type score associated with glioblastoma patients' survival.Therapeutic advances in medical oncology · 2022Article
- Transcriptome Sequencing Analysis of the Effect ofGenetics research · 2022Article
- Effects and molecular mechanisms ofAnnals of translational medicine · 2021Article
- Scouting for common genes in the heterogenous hypoxic tumor microenvironment and their validation in glioblastoma.3 Biotech · 2021Article
- The Influence of Gene Aberrations on Survival in ResectedCurrent oncology (Toronto, Ont.) · 2021Article
- Systematic Analysis of 4-gene Prognostic Signature in Patients with Diffuse Gliomas Based on Gene Expression Profiles.Journal of Cancer · 2021Article
- Article
- Functional genomics of AP-2α and AP-2γ in cancers: in silico study.BMC medical genomics · 2020Article
- Cancer classification based on chromatin accessibility profiles with deep adversarial learning model.PLoS computational biology · 2020Article
- Article
- Multivariate analysis reveals differentially expressed genes among distinct subtypes of diffuse astrocytic gliomas: diagnostic implications.Scientific reports · 2020Article
- Article
- Identification of Hub Genes of Mesio Temporal Lobe Epilepsy and Prognostic Biomarkers of Brain Low-grade Gliomas Based on Bioinformatics Analysis.Cell transplantationArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gliomas are a very diverse group of brain tumors that are most commonly primary tumor and difficult to cure in central nervous system. It's necessary to distinguish low-grade tumors from high-grade tumors by understanding the molecular basis of different grades of glioma, which is an important step in defining new biomarkers and therapeutic strategies. We have chosen the gene expression profile GSE52009 from gene expression omnibus (GEO) database to detect important differential genes. GSE52009 contains 120 samples, including 60 WHO II samples and 24 WHO IV samples that were selected in our analysis. We used the GEO2R tool to pick out differently expressed genes (DEGs) between low-grade glioma and high-grade glioma, and then we used the database for annotation, visualization and integrated discovery to perform gene ontology analysis and Kyoto encyclopedia of gene and genome pathway analysis. Furthermore, we used the Cytoscape search tool for the retrieval of interacting genes with molecular complex detection plug-in applied to achieve the visualization of protein-protein interaction (PPI). We selected 15 hub genes with higher degrees of connectivity, including tissue inhibitors metalloproteinases-1 and serum amyloid A1; additionally, we used GSE53733 containing 70 glioblastoma samples to conduct Gene Set Enrichment Analysis. In conclusion, our bioinformatics analysis showed that DEGs and hub genes may be defined as new biomarkers for diagnosis and for guiding the therapeutic strategies of glioblastoma.
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