循环节律基因网络可以区分质母细胞瘤的分子概况和预后
Fangzhu Wan1,2,3, Zongpu Zhang4,5,6, Jinsen Zhang7,8,9,10
1Department of Radiation Oncology, Shanghai Proton and Heavy Ion Center, Fudan University Shanghai Cancer Center, Shanghai 201321, China.
International journal of molecular sciences
|June 26, 2025
概括
质母细胞瘤 (GBM) 昼夜节律基因模式和风险评分有效地对患者进行分类,预测不同的分子概况,预后和治疗反应. 这突出了昼夜网络.
科学领域:
- 在瘤学瘤学.
- 遗传学 是一个遗传学.
- 时间生物学 时间生物学
背景情况:
- 异常的昼夜节律基因表达越来越多地与质母细胞瘤 (GBM) 的进展有关.
- 昼夜节律基因网络对GBM分子亚型和患者结果的确切影响仍然不完全理解.
研究的目的:
- 调查昼夜节律基因在GBM分子分析和预后中的作用.
- 开发基于昼夜基因表达的GBM患者分层和治疗反应的预测模型.
主要方法:
- 基于17个核心昼夜基因的1042个GBM样本 (TCGA,CGGA) 的无监督聚类,以确定昼夜核心基因模式.
- 差异性基因表达分析 (Limma R 包) 来识别用于二次聚类的 32 个昼夜相关基因.
- 基于10个关键基因的LASSO回归使用昼夜风险得分的构建.
- 分析模式,风险评分,分子概况,预后和治疗反应之间的相关性 (GSE78200,IMvigor210数据集).
主要成果:
- 确定了三种不同的昼夜核心基因模式,与特定的分子概况,恶性特征和GBM的预后相关.
- 基于32个昼夜相关基因的二次聚类产生了两个模式,也可以预测分子形状和预后.
- 一个10基因的昼夜风险得分有效预测了整体存活率,分子亚型和对MAPK向治疗的反应,较低的得分表明更好的结果.
结论:
- 循环节律基因网络为GBM患者提供了强大的分层,区分分子形状和预后.
- 开发的集群模式和昼夜风险评分为个性化的预后预测和指导GBM治疗策略提供了有价值的工具.
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