ArticleBioMed research international2017
Prediction and Analysis of Key Genes in Glioblastoma Based on Bioinformatics.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes.Scientific reports · 2017Pooled it
- Spatial transcriptomics of glioblastoma defines biologically and clinically significant reprogramming patterns across unique spatial microenvironments.bioRxiv : the preprint server for biology · 2025Article
- SV2B/miR-34a/miR-128 axis as prognostic biomarker in glioblastoma multiforme.Scientific reports · 2024Article
- Identification of LOX as a candidate prognostic biomarker in Glioblastoma multiforme.Translational oncology · 2023Article
- Bioinformatics Identification of Therapeutic Gene Targets for Gastric Cancer.Advances in therapy · 2023Article
- FZD1/KLF10-hsa-miR-4762-5p/miR-224-3p-circular RNAs axis as prognostic biomarkers and therapeutic targets for glioblastoma: a comprehensive report.BMC medical genomics · 2023Article
- PTPRM methylation induced by FN1 promotes the development of glioblastoma by activating STAT3 signalling.Pharmaceutical biology · 2021Article
- Review
- MicroRNA-640 promotes cell proliferation and adhesion in glioblastoma by targeting Slit guidance ligand 1.Oncology letters · 2021Article
- AGAP2-AS1 May Promote the Occurrence and Development of Glioblastoma by Sponging miR-9-5p: Evidence From a ceRNA Network.Frontiers in oncology · 2021Article
- Article
- ceRNA Network Analysis Shows That lncRNA CRNDE Promotes Progression of Glioblastoma Through Sponge mir-9-5p.Frontiers in genetics · 2021Article
- Serine Incorporator 2 (SERINC2) Expression Predicts an Unfavorable Prognosis of Low-Grade Glioma (LGG): Evidence from Bioinformatics Analysis.Journal of molecular neuroscience : MN · 2020Article
- Bioinformatics analysis of potential core genes for glioblastoma.Bioscience reports · 2020Article
- Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling.Biology direct · 2020Article
- Identification of hub genes related to prognosis in glioma.Bioscience reports · 2020Article
- Inference of Subpathway Activity Profiles Reveals Metabolism Abnormal Subpathway Regions in Glioblastoma Multiforme.Frontiers in oncology · 2020Article
- High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis.Oncology letters · 2019Article
- Identification of key candidate genes and pathways in glioblastoma by integrated bioinformatical analysis.Experimental and therapeutic medicine · 2019Article
- Defining Protein Pattern Differences Among Molecular Subtypes of Diffuse Gliomas Using Mass Spectrometry.Molecular & cellular proteomics : MCP · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the mechanisms of glioblastoma at the molecular and structural level is not only interesting for basic science but also valuable for biotechnological application, such as the clinical treatment. In the present study, bioinformatics analysis was performed to reveal and identify the key genes of glioblastoma multiforme (GBM). The results obtained in the present study signified the importance of some genes, such as COL3A1, FN1, and MMP9, for glioblastoma. Based on the selected genes, a prediction model was built, which achieved 94.4% prediction accuracy. These findings might provide more insights into the genetic basis of glioblastoma.
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