Kałuzińska Żaneta, Kołat Damian, Bednarek Andrzej K, Płuciennik Elżbieta
Department of Molecular Carcinogenesis, Medical University of Lodz, 90-752 Lodz, Poland.
Cancers (Basel). 2021 Jun 12;13(12):2955. doi: 10.3390/cancers13122955.
Glioblastoma is one of the deadliest human cancers. Its malignancy depends on cytoskeleton reorganization, which is related to, e.g., epithelial-to-mesenchymal transition and metastasis. The malignant phenotype of glioblastoma is also affected by the gene, which is lost in nearly a quarter of gliomas. Although the role of in the cytoskeleton rearrangement has been found in neural progenitor cells, its function as a modulator of cytoskeleton in gliomas was not investigated. Therefore, this study aimed to investigate the role of and its collaborators in cytoskeleton dynamics of glioblastoma. Methodology on RNA-seq data integrated the use of databases, bioinformatics tools, web-based platforms, and machine learning algorithm, and the obtained results were validated through microarray data. , , and were the most relevant -dependent genes that could serve as novel biomarkers. Other genes important in the context of cytoskeleton ( and ), metabolism (), or correlation with ( and ) were also discovered. For the first time, we propose that changes in expression dictate a myriad of alterations that affect both glioblastoma cytoskeleton and metabolism, rendering new therapeutic possibilities.
胶质母细胞瘤是最致命的人类癌症之一。其恶性程度取决于细胞骨架重组，这与例如上皮-间质转化和转移有关。胶质母细胞瘤的恶性表型也受到该基因的影响，该基因在近四分之一的胶质瘤中缺失。尽管已经在神经祖细胞中发现了该基因在细胞骨架重排中的作用，但其作为胶质瘤细胞骨架调节剂的功能尚未得到研究。因此，本研究旨在探讨该基因及其协同因子在胶质母细胞瘤细胞骨架动力学中的作用。RNA测序数据的方法整合了数据库、生物信息学工具、基于网络的平台和机器学习算法的使用，并通过微阵列数据验证了所得结果。、和是最相关的依赖该基因的基因，可作为新型生物标志物。还发现了在细胞骨架（和）、代谢（）或与该基因的相关性（和）方面重要的其他基因。我们首次提出，该基因表达的变化决定了影响胶质母细胞瘤细胞骨架和代谢的无数改变，带来了新的治疗可能性。
