ArticleCurrent medical science2022
Microrna-1224-5p Is a Potential Prognostic and Therapeutic Biomarker in Glioblastoma: Integrating Bioinformatics and Clinical Analyses.
Article in Current medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- OY-TES-1 Splice Variant V5a in Glioma: A Driver of Malignancy and Potential Therapeutic Target.Current medical science · 2026Article
- Microcargos with Megaeffects: A Literature Review of Immunomodulatory, Diagnostic, Prognostic, and Therapeutic Dimensions of Exosomal MicroRNAs in Glioblastoma Multiforme.Cellular and molecular neurobiology · 2025Review
- Review
- Integrating Multi-Omics Analysis for Enhanced Diagnosis and Treatment of Glioblastoma: A Comprehensive Data-Driven Approach.Cancers · 2023Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveGlioblastoma (GBM) is the most common, invasive, and malignant primary brain tumor with a poor prognosis and high recurrence rate. It's known that some microRNAs (miRNAs) which are associated with tumorigenesis and progression can be considered as prognostic and therapeutic targets in tumors including GBM. This study aims to highlight the potential role of the core miRNAs in GBM and their potential use as a prognostic and therapeutic biomarker.
methodsDifferentially expressed miRNAs (DEmiRNAs) were identified in GBM by integrating miRNA-sequencing results and a GBM microarray dataset from the Gene Expression Omnibus (GEO) database through bioinformatics tools. The dysregulated miRNAs were identified by survival analysis through Chinese Glioma Genome Atlas (CGGA). Target genes of the dysregulated miRNAs were predicted on MiRWalk and miRTarBase database. TAM2.0 database, Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis were used to analyze the function of the dysregulated miRNAs. Subsequently, protein-protein interaction (PPI) network analysis was used to identify the top 20 hub targets of the up-regulated and down-regulated miRNAs, respectively. Then, core miRNAs in GBM were identified by constructing dysregulated miRNA-differentially expressed hub gene networks. Validation of the core miRNAs expression was detected in 41 GBM tissues compared to 8 normal brain tissues. Furthermore, the potential biomarkers were identified by clinical correlation analysis and survival analysis.
resultsTotally, 68 intersecting DEmiRNAs were identified, 40 of which were upregulated and the other 28 miRNAs were downregulated. Two upregulated and 4 downregulated miRNAs showed prognostic significance. Most differentially expressed hub genes were regulated by the miR-28-5p and miR-1224-5p, which were respectively upregulated and downregulated in GBM. The correlation between miR-1224-5p level and recurrence was statistically significant (P=0.011). Survival analysis showed that high miR-28-5p level and high miR-1224-5p level were both associated with better prognosis. Moreover, high miR-1224-5p level was an independent prognosis factor for GBM patients according to the cox regression analysis.
conclusionMiRNA-1224-5p could be a potential target for the prognosis and treatment in GBM.
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