Title:Integrative Analysis of miRNA-mediated Competing Endogenous RNA Network Reveals the lncRNAs-mRNAs Interaction in Glioblastoma Stem Cell Differentiation
VOLUME: 15 ISSUE: 10
Author(s):Zhenyu Zhao, Cheng Zhang, Mi Li*, Xinguang Yu*, Hailong Liu, Qi Chen, Jian Wang, Shaopin Shen and Jingjing Jiang
Affiliation:Department of Neurosurgery, Chinese PLA General Hospital, Beijing, Department of Medical Genetics and Molecular Diagnostic Laboratory, Shanghai Children's Medical Center, Shanghai Jiao tong University School of Medicine, Shanghai, Department of Mathematics & Statistics, Boston University, Boston, MA, Department of Neurosurgery, Chinese PLA General Hospital, Beijing, Department of Neurosurgery, Chinese PLA General Hospital, Beijing, National Engineering Laboratory for Medical Big Data Application Technology, Chinese PLA General Hospital, Beijing, Department of Neurosurgery, Chinese PLA General Hospital, Beijing, Department of Neurosurgery, Chinese PLA General Hospital, Beijing, Clinical Data and Specimen Repositories, Chinese PLA General Hospital, Beijing
Keywords:Glioblastoma stem cell (GSC), glioblastoma, ceRNA network, bioinformatics, lncRNAs, therapeutic targets.
Abstract:Background: Competing endogenous RNA (ceRNA) networks play a pivotal role in
tumor diagnosis and progression. Numerous studies have explored the functional landscape and
prognostic significance of ceRNA interaction within differentiated tumor cells.
Objective: We propose a new perspective by exploring ceRNA networks in the process of
glioblastoma stem cell (GSC) differentiation.
Methods: In this study, expression profiles of lncRNAs and mRNAs were compared between GSCs
and differentiated glioblastoma cells. Using a comprehensive computational method, miRNAmediated
and GSC differentiation-associated ceRNA crosstalk between lncRNAs and mRNAs was
identified. A ceRNA network was then established to select potential candidates that regulate GSC
differentiation.
Results: Based on the specific ceRNA network related to GSC differentiation, we identified lnc
MYOSLID: 11 as a ceRNA that regulated the expression of the downstream gene PXN by
competitively binding with hsa-miR-149-3p. After Kaplan-Meier (KM) survival analysis, the
expression of PXN gene (PPXN = 0.0015) and lnc MYOSLID: 11 (PMYOSLID: 11=0.041) showed
significant correlation with glioblastoma in 160 patients from TCGA.
Conclusion: This result sheds light on a potential way of studying the ceRNA network, which can
provide clues for developing new diagnostic methods and finding therapeutic targets for clinical
treatment of glioblastoma.
