ArticleBiomolecules2019
Identification of Crucial Candidate Genes and Pathways in Glioblastoma Multiform by Bioinformatics Analysis.
Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
34 citing papers in PubMed, 52 citations in OpenAlex.
- Nicotinic Acetylcholine Receptor of α7 Subtype is Linked to Glioblastoma Cholinergic Heterogeneity.Journal of molecular neuroscience : MN · 2026Article
- Mechanism of Non-Small Cell Lung Cancer-Derived Extracellular Vesicle miRNA hsa-let-7b-5p Targeting AP1S1 to Regulate M2 Macrophage Polarization.International journal of genomics · 2026Article
- Phosphoproteomic insights into GFPT2-Associated cellular phospho-signaling networks.Biochemistry and biophysics reports · 2025Article
- Maternal Plasma Proteins Associated with Birth Weight: A Longitudinal, Large Scale Proteomic Study.Journal of proteome research · 2025Article
- Mitochondrial ribosomal proteins: potential targets for cancer prognosis and therapy.Frontiers in oncology · 2025Review
- Immunomodulatory Interventions Based on a Bioinformatics Study of TLR2 in Glioblastoma Multiforme.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data.Bioinformatics (Oxford, England) · 2024Article
- Small molecule drug discovery for glioblastoma treatment based on bioinformatics and cheminformatics approaches.Frontiers in pharmacology · 2024Article
- Knockdown of MRPL35 promotes cell apoptosis and inhibits cell proliferation in non-small-cell lung cancer.BMC pulmonary medicine · 2023Article
- Article
- Identification and validation of a fatty acid metabolism gene signature for the promotion of metastasis in liver cancer.Oncology letters · 2023Article
- Potential Candidate Genes for Therapeutic Targeting in Chronic Myeloid Leukemia: A Pilot Study.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Identification of genomic biomarkers and their pathway crosstalks for deciphering mechanistic links in glioblastoma.IET systems biology · 2023Article
- Role of A-Kinase Anchoring Protein 12 in the Central Nervous System.Journal of clinical neurology (Seoul, Korea) · 2023Review
- Unveiling the prognostic implications of RPLP1 upregulation in osteosarcoma.American journal of cancer research · 2023Article
- Exploitation of a shared genetic signature between obesity and endometrioid endometrial cancer.Frontiers in surgery · 2023Article
- Stress-induced reduction of NaScience advances · 2022Article
- A Novel Necroptosis-Related Prognostic Signature of Glioblastoma Based on Transcriptomics Analysis and Single Cell Sequencing Analysis.Brain sciences · 2022Article
- Sp1 induced gene TIMP1 is related to immune cell infiltration in glioblastoma.Scientific reports · 2022Article
- Identification of hub genes and biological pathways in glioma via integrated bioinformatics analysis.The Journal of international medical research · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to investigate the molecular mechanisms underlying glioblastoma multiform (GBM) and its biomarkers. The differentially expressed genes (DEGs) were diagnosed using the limma software package. The ToppGene (ToppFun) was used to perform pathway and Gene Ontology (GO) enrichment analysis of the DEGs. Protein-protein interaction (PPI) networks, extracted modules, miRNA-target genes regulatory network and TF-target genes regulatory network were used to obtain insight into the actions of DEGs. Survival analysis for DEGs was carried out. A total of 590 DEGs, including 243 up regulated and 347 down regulated genes, were diagnosed between scrambled shRNA expression and Lin7A knock down. The up-regulated genes were enriched in ribosome, mitochondrial translation termination, translation, and peptide biosynthetic process. The down-regulated genes were enriched in focal adhesion, VEGFR3 signaling in lymphatic endothelium, extracellular matrix organization, and extracellular matrix. The current study screened the genes in the PPI network, extracted modules, miRNA-target genes regulatory network, and TF-target genes regulatory network with higher degrees as hub genes, which included
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.