BioMediTech Institute, Faculty of Medicine and Health Technology, Tampere University, ArvoYlpönkatu 34, 33520 Tampere, Finland.
Molecular Signalling Lab, Faculty of Medicine and Health Technology, Tampere University, P.O. Box 553, 33101 Tampere, Finland.
Int J Mol Sci. 2021 Jan 6;22(2):517. doi: 10.3390/ijms22020517.
Glioblastoma (GBM) is the most common malignant brain tumor and its malignant phenotypic characteristics are classified as grade IV tumors. Molecular interactions, such as protein-protein, protein-ncRNA, and protein-peptide interactions are crucial to transfer the signaling communications in cellular signaling pathways. Evidences suggest that signaling pathways of stem cells are also activated, which helps the propagation of GBM. Hence, it is important to identify a common signaling pathway that could be visible from multiple GBM gene expression data. microRNA signaling is considered important in GBM signaling, which needs further validation. We performed a high-throughput analysis using micro array expression profiles from 574 samples to explore the role of non-coding RNAs in the disease progression and unique signaling communication in GBM. A series of computational methods involving miRNA expression, gene ontology (GO) based gene enrichment, pathway mapping, and annotation from metabolic pathways databases, and network analysis were used for the analysis. Our study revealed the physiological roles of many known and novel miRNAs in cancer signaling, especially concerning signaling in cancer progression and proliferation. Overall, the results revealed a strong connection with stress induced senescence, significant miRNA targets for cell cycle arrest, and many common signaling pathways to GBM in the network.
胶质母细胞瘤（GBM）是最常见的恶性脑肿瘤，其恶性表型特征被归类为 IV 级肿瘤。分子相互作用，如蛋白质-蛋白质、蛋白质-ncRNA 和蛋白质-肽相互作用，对于在细胞信号通路中传递信号通讯至关重要。有证据表明，干细胞的信号通路也被激活，这有助于 GBM 的传播。因此，识别一个常见的信号通路是很重要的，这个信号通路可以从多个 GBM 基因表达数据中看出。microRNA 信号被认为在 GBM 信号中很重要，需要进一步验证。我们使用来自 574 个样本的 microarray 表达谱进行了高通量分析，以探索非编码 RNA 在疾病进展和 GBM 中独特信号通讯中的作用。涉及 miRNA 表达、基于基因本体论（GO）的基因富集、代谢途径数据库中的途径映射和注释以及网络分析的一系列计算方法用于分析。我们的研究揭示了许多已知和新的 miRNA 在癌症信号中的生理作用，特别是与癌症进展和增殖中的信号有关。总的来说，结果显示在网络中与应激诱导衰老、细胞周期停滞的显著 miRNA 靶标以及许多常见的 GBM 信号通路之间存在很强的联系。
