应用生物信息学综合分析鉴定胶质母细胞瘤相关关键基因

IF 0.1 4区 医学
Dongke Yan, Yanchao Gong, Yongling Wang, Longmei Li, Wenhui Tong, Jingjie Pang
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引用次数: 0

摘要

胶质母细胞瘤(GBM)是最常见的脑恶性肿瘤。由于肿瘤位置特殊,探索参与GBM发病机制的关键基因迫在眉睫。在这项研究中,我们试图通过分析TCGA来源的转录组数据来鉴定参与GBM进展的重要基因,并鉴定了3183个差异表达基因(DEG)。同时,我们还观察到CRYGN、MICAL2、BICDL1、PLK2、MTHFD2、OSMR、COL22A1、MSTN和G0S2的表达与患者的生存率显著相关。免疫浸润分析表明,8个基因增强了GBM的免疫浸润,而BICDL1没有显著作用。总之,我们的研究表明,这八个基因是参与GBM的潜在关键基因,与患者的预后显著相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Key Genes Involved in Glioblastoma by Integrated Bioinformatics Analysis
Glioblastoma (GBM) is the most frequently identified malignancy of the brain. Due to the special tumor location, it is extremely urgent to explore key genes involved in the pathogenesis of GBM. In this study, we tried to identify vital genes that participate in the GBM progression by analyzing TCGA-sourced transcriptome data and identified 3183 differentially expressed genes (DEGs). Meanwhile, we also observed that CRYGN, MICAL2, BICDL1, PLK2, MTHFD2, OSMR, COL22A1, MSTN, and G0S2 expressions were significantly associated with patients’ survival. Immune infiltration analysis indicated that eight genes enhanced the immune infiltration in GBM, while BICDL1 had no significant effect. In conclusion, our study demonstrates that the eight genes are potential key genes involved in GBM and significantly connected to patients’ prognosis.
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