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Updated: Jul 25, 2025

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Sequencing and Bioinformatics analysis of lncRNA/circRNA-miRNA-mRNA in Glioblastoma multiforme
Renjie Wang1,2, Qi Li3, Xiaolei Chu3
1Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
Abstract:
Evidence suggests that non-coding RNAs have a role in glioblastoma multiforme (GBM), although the regulatory mechanisms controlled by competing endogenous RNAs (ceRNAs) in GBM are still poorly understood and infrequently described. This research extensively analyzed circRNA, lncRNA, miRNA, and mRNA expression changes in GBM patients. RNA-sequencing analyses were conducted to investigate differentially expressed genes (DEGs), lncRNAs (DELs), miRNAs (DEMs), and circRNAs (DECs) in the GBM. In this study, researchers found that GBM patients and healthy controls differed in the presence of 1224 DECs, 1406 DELs, 229 DEMs, and 2740 DEGs. PPI network analysis demonstrated that CEACAM5, CXCL17, FAM83A, TMPRSS4, and GGPRC5A were hub genes and enriched in modules. Then a ceRNA network was constructed with 8 circRNA, 7 lncRNAs, 16 miRNAs, and 17 mRNAs. Overall, the ceRNA interaction axes that were found may prove to be pivotal therapeutic targets for treating GBM.
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