ArticleClinical and experimental medicine2025
Integrative analysis of glioblastoma multiforme: the power of non-coding RNAs and hub genes in cancer research.
Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Integrative Multi-Omics Identifies S100A4 as a Translational Hub Linking Environmental Bis(2-Ethylhexyl) Phthalate (DEHP) Exposure to Glioblastoma Risk.Mediators of inflammation · 2026Article
- Serum p-Cresol and 7-HOCA Levels and Fatty Acid and Purine Metabolism Are Associated with Survival, Progression, and Molecular Classification in GB-Serum Proteome and Metabolome Analysis Pre vs. Post Up-Front Chemoirradiation.Current oncology (Toronto, Ont.) · 2025Article
- LncRNA H19 acts as a ceRNA to promote glioblastoma malignancy by sponging miR-19b-3p and upregulating SERPINE1.Cancer cell international · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to dissect the complex molecular landscape of glioblastoma multiforme (GBM), focusing on identifying key regulatory non-coding RNAs and protein-coding genes that could serve as therapeutic targets and prognostic biomarkers. GBM is an aggressive form of brain cancer characterized by poor prognosis and limited treatment options. Recent advances in high-throughput genomic technologies have opened new avenues for understanding the molecular underpinnings of GBM, with a particular focus on the roles of ncRNAs. We utilized multiple datasets from the NCBI Gene Expression Omnibus (GEO) to analyze mRNA, miRNA, lncRNA, and circRNA expression profiles in GBM versus normal brain tissues. Differential expression analysis was conducted using GEO2R, followed by pathway enrichment and protein-protein interaction (PPI) network analyses using DAVID and STRING databases, respectively. Hub genes were identified and validated through GEPIA2, and a competing endogenous RNA (ceRNA) network was constructed to elucidate the interactions between non-coding RNAs (ncRNAs) and protein-coding genes. The study identified several differentially expressed genes and ncRNAs, highlighting complex interactions within the PPI network and significant pathway enrichments implicated in GBM progression. The ceRNA network analysis revealed potential regulatory axes mediated by ncRNAs. Validation of hub genes confirmed their differential expression and prognostic value. Additionally, correlations between gene expression, drug sensitivity, and immune cell infiltration were analyzed, offering insights into personalized therapeutic approaches. Our findings underscore the intricate molecular networks in GBM, emphasizing the role of ncRNAs in tumor biology and their potential as therapeutic targets. The study highlights the necessity for further experimental validation of bioinformatics predictions to bridge the gap between genomic insights and clinical application, ultimately aiming to enhance the prognosis and treatment strategies for GBM patients.
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Registered trials
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