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Published in: Metabolic Brain Disease 7/2023

30-06-2023 | Glioblastoma | Original Article

Sequencing and Bioinformatics analysis of lncRNA/circRNA-miRNA-mRNA in Glioblastoma multiforme

Authors: Renjie Wang, Qi Li, Xiaolei Chu, Nan Li, Haiqian Liang, Feng He

Published in: Metabolic Brain Disease | Issue 7/2023

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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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Metadata
Title
Sequencing and Bioinformatics analysis of lncRNA/circRNA-miRNA-mRNA in Glioblastoma multiforme
Authors
Renjie Wang
Qi Li
Xiaolei Chu
Nan Li
Haiqian Liang
Feng He
Publication date
30-06-2023
Publisher
Springer US
Published in
Metabolic Brain Disease / Issue 7/2023
Print ISSN: 0885-7490
Electronic ISSN: 1573-7365
DOI
https://doi.org/10.1007/s11011-023-01256-w

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