Li Zhen-Hang, Guan Yan-Lei, Zhang Guo-Bin
Department of Neurosurgery, Tianjin Huanhu Hospital, Tianjin, China.
Department of Neurosurgery, The First Hospital of China Medical University, Shenyang, China.
Front Oncol. 2021 Apr 27;11:657531. doi: 10.3389/fonc.2021.657531. eCollection 2021.
Glioblastoma multiforme (GBM) develops through the accumulation of both genetic and expression alterations. Although many gene signatures have been developed as prognostic and predictive biomarkers, their robustness and functional aspects are less well characterized. The expression of most genes is regulated by transcription factors (TFs); therefore, we aimed to investigate a TF signature relevant to GBM prognosis.
We used bioinformatic methods and data from public databases to establish four clusters of key TF genes, among which cluster 1, comprising 24 TFs, showed significant prognostic value. Further functional analyses were applied to investigate the utility of the TF signature.
Different mutation and copy number variation patterns were observed between different risk score groups (based on the TF signature). analyses suggested that the cases with relative high risk scores were involved in immune and inflammatory processes or pathways.
The TF signature has significant prognostic value in different cohorts or subgroups of patients with GBM and could lead to the development immunotherapy for GBM.
多形性胶质母细胞瘤（GBM）通过基因和表达改变的积累而发展。尽管已经开发了许多基因特征作为预后和预测生物标志物，但其稳健性和功能方面的特征尚不明确。大多数基因的表达受转录因子（TFs）调控；因此，我们旨在研究与GBM预后相关的TF特征。
我们使用生物信息学方法和来自公共数据库的数据建立了关键TF基因的四个簇，其中包含24个TF的簇1显示出显著的预后价值。进一步应用功能分析来研究TF特征的效用。
在不同风险评分组（基于TF特征）之间观察到不同的突变和拷贝数变异模式。分析表明，风险评分相对较高的病例参与了免疫和炎症过程或途径。
TF特征在GBM患者的不同队列或亚组中具有显著的预后价值，并可能导致GBM免疫治疗的发展。
