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
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.
Keywords: Glioblastoma stem cell (GSC), glioblastoma, ceRNA network, bioinformatics, lncRNAs, therapeutic targets.
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