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Updated: Jul 23, 2025

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Whole-transcriptome sequencing with ceRNA regulation network construction and verification in glioblastoma
Zhao-Mu Zeng1,2,3, Yue-Yue Chen4, Xi-Chao Wen2
1Department of Neurosurgery, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College Nanchang 330000, Jiangxi, PR China.
Objectives:
To explore the key genes involved in the occurrence and development of glioblastoma (GBM) by analyzing whole-transcriptome sequencing and biologic data from GBM and normal cerebral cortex tissues and to search for important noncoding RNA (ncRNA) molecular markers based on the competitive endogenous RNA (ceRNA) network.
Methods:
Ten GBM and normal cerebral cortex tissues were collected for full transcriptome sequencing, screened for differentially expressed (DE) mRNAs, miRNAs, lncRNAs, and circRNAs, and subjected to bioinformatic analysis. We constructed a Protein-Protein Interaction (PPI) network and a circRNA/lncRNA-miRNA-mRNA regulatory network and identified them using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Finally, The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases were used to validate and conduct a survival analysis of the target genes.
Results:
A total of 5341 DEmRNAs, 259 DEmiRNAs, 3122 DElncRNAs, and 2135 DEcircRNAs were identified. Enrichment analysis showed that target genes regulated by DEmiRNA, DElncRNA, and DEcircRNA were closely related to chemical synaptic transmission and ion transmembrane transport. A PPI network analysis screened 10 hub genes that directly participate in tumor cell mitosis regulation. In addition, the ceRNA composite network showed that hsa-miR-296-5p and hsa-miR-874-5p were the central nodes of the network, and the reliability of relevant key molecules was successfully verified through RT-qPCR identification and the TCGA database. The CGGA database survival analysis produced 8 DEmRNAs closely related to GBM patient survival prognosis.
Conclusions:
This study revealed the important regulatory functions and molecular mechanisms of ncRNA molecules and identified hsa-miR-296-5p and hsa-miR-874-5p as key molecules in the ceRNA network. They may play an important role in GBM pathogenesis, treatment, and prognosis.
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