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.

背景：竞争性内源RNA（ceRNA）网络在肿瘤诊断和进展中起着关键作用。大量研究探索了分化肿瘤细胞内ceRNA相互作用的功能格局和预后意义。

目的：我们通过探索胶质母细胞瘤干细胞（GSC）分化过程中的ceRNA网络提出了一个新的观点。

方法：在本研究中，比较了GSC和分化的胶质母细胞瘤细胞中lncRNA和mRNA的表达谱。使用全面的计算方法，鉴定了lncRNA和mRNA之间miRNA介导的和GSC分化相关的ceRNA串扰。然后建立一个ceRNA网络，以选择调节GSC分化的潜在候选物。

结果：基于与GSC分化相关的特定ceRNA网络，我们鉴定出lnc MYOSLID：11是通过与hsa-miR-149-3p竞争性结合来调节下游基因PXN表达的ceRNA。经过Kaplan-Meier（KM）生存分析，在160例TCGA患者中，PXN基因（PPXN = 0.0015）和lnc MYOSLID：11（PMYOSLID：11 = 0.041）的表达与胶质母细胞瘤显着相关。

结论：该结果为研究ceRNA网络提供了可能的方法，可为开发胶质母细胞瘤的新诊断方法和寻找治疗靶标提供线索。