ArticleBioscience reports2020
Computational analysis and verification of molecular genetic targets for glioblastoma.
Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Analysis of transcription profiles for the identification of master regulators as the key players in glioblastoma.Computational and structural biotechnology journal · 2024Article
- The Nervous System Development Regulator Neuropilin-1 as a Potential Prognostic Marker and Therapeutic Target in Brain Cancer.Cancers · 2023Review
- Understanding Glioblastoma Signaling, Heterogeneity, Invasiveness, and Drug Delivery Barriers.International journal of molecular sciences · 2023Review
- Antibody Profiling and In Silico Functional Analysis of Differentially Reactive Antibody Signatures of Glioblastomas and Meningiomas.International journal of molecular sciences · 2023Article
- miR-124: A Promising Therapeutic Target for Central Nervous System Injuries and Diseases.Cellular and molecular neurobiology · 2022Review
- Prognostic value of immune-related genes in laryngeal squamous cell carcinoma.Translational cancer research · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlioblastoma (GBM) is the most common malignant brain tumor with a poor prognosis. The initial treatment for high-grade gliomas is surgical excision. However, even with concomitant use of radiation or chemotherapy, patients are still prone to recurrence. The specific pathogenesis of GBM is still controversial.
methodsDifferentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) between GBM and normal brain tissues were screened. P-value was obtained by Bayes test based on the limma package. Statistical significance was set as P-value <0.05 and |Fold change (FC)| > 0.2 (GSE90886); P-value <0.05 and |FC| > 1 (GSE116520, GSE103228). Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction (PPI) network were performed. Hub genes were selected from miRNA target genes and DEGs. GBM and normal brain tissues were extracted to verify the expression.
resultsA total of 100 DEGs were overlapped in both datasets. Analysis of pathways and process enrichment tests indicated that ion transport, positive regulation of macromolecule metabolic process, cell cycle, axon guidance were enriched in the GBM. Sixteen hub genes were identified. Hub genes ADARB1 and neuropilin 1 (NRP1) were significantly associated with overall survival (OS) and disease-free survival (DFS) (P<0.05). Eukaryotic translation termination factor 1 (ETF1) was associated with DFS (P<0.05).
conclusionsDEGs and DEMs were found between GBM tumor tissues and normal brain tissues. These biomarkers may be used as targets for early diagnosis and specific treatment.
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