Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
Department of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Sci Rep. 2018 Feb 12;8(1):2836. doi: 10.1038/s41598-018-20929-6.
Glioblastoma stem-like cells (GSCs) are critical for the aggressiveness and progression of glioblastoma (GBM) and contribute to its resistance to adjuvant treatment. MicroRNAs (miRNAs) are small, non-coding RNAs controlling gene expression at the post-transcriptional level, which are known to be important regulators of the stem-like features. Moreover, miRNAs have been previously proved to be promising diagnostic biomarkers in several cancers including GBM. Using global expression analysis of miRNAs in 10 paired in-vitro as well as in-vivo characterized primary GSC and non-stem glioblastoma cultures, we identified a miRNA signature associated with the stem-like phenotype in GBM. 51 most deregulated miRNAs classified the cell cultures into GSC and non-stem cell clusters and identified a subgroup of GSC cultures with more pronounced stem-cell characteristics. The importance of the identified miRNA signature was further supported by demonstrating that a Risk Score based on the expression of seven miRNAs overexpressed in GSC predicted overall survival in GBM patients in the TCGA dataset independently of the IDH1 status. In summary, we identified miRNAs differentially expressed in GSCs and described their association with GBM patient survival. We propose that these miRNAs participate on GSC features and could represent helpful prognostic markers and potential therapeutic targets in GBM.
胶质母细胞瘤干细胞(GSCs)对于胶质母细胞瘤(GBM)的侵袭性和进展至关重要,并导致其对辅助治疗的耐药性。微小 RNA(miRNA)是一种小的非编码 RNA,在转录后水平控制基因表达,已知是干细胞特征的重要调节因子。此外,miRNA 已被证明是几种癌症(包括 GBM)有前途的诊断生物标志物。通过对 10 对体外和体内特征明确的原发性 GSC 和非干细胞胶质母细胞瘤培养物中 miRNA 的全局表达分析,我们确定了与 GBM 中干细胞样表型相关的 miRNA 特征。51 个最失调的 miRNA 将细胞培养物分类为 GSC 和非干细胞簇,并确定了具有更明显干细胞特征的 GSC 培养物亚群。基于在 GSC 中过度表达的七个 miRNA 表达的风险评分进一步支持了所鉴定的 miRNA 特征的重要性,该评分可独立于 IDH1 状态预测 TCGA 数据集 GBM 患者的总生存期。总之,我们鉴定了 GSCs 中差异表达的 miRNA,并描述了它们与 GBM 患者生存的关联。我们提出这些 miRNA 参与 GSC 特征,可能代表 GBM 中有帮助的预后标志物和潜在的治疗靶点。