基于瘤核心和边缘代谢数据的质母细胞瘤患者生存率的分层
Dylan A Goodin1, Hunter A Miller1, Xinmin Yin2
11Departments of Bioengineering.
Journal of neurosurgery
|July 11, 2025
概括
对质母细胞瘤 (GBM) 核心和边缘组织的代谢分析揭示了不同的代谢概况. 这些差异可以用来根据总生存率 (OS) 对患者进行分层,从而有助于个性化治疗策略.
科学领域:
- 神经瘤学神经瘤学
- 代谢学 代谢学 代谢学
- 生物标志物发现发现
背景情况:
- 质母细胞瘤 (GBM) 在耐治疗核心和透瘤边缘之间表现出空间代谢异质性.
- 这些代谢差异对患者存活时间的预后影响尚不清楚.
研究的目的:
- 调查核心和边缘GBM组织中的代谢物是否可以作为生物标志物,根据总生存率 (OS) 来分层患者.
主要方法:
- 使用高分辨率2D液态色谱-质谱/质谱分析了27名质瘤患者的核心和边缘瘤样本.
- 来自21个质母细胞瘤 (GBM) 样本的新陈代谢数据使用Kaplan-Meier生存分析和Cox比例危险回归模型进行分析.
- 使用显著代谢物生成风险评分,并使用极端梯度增强模型 (XGBL) 进行验证.
主要成果:
- 卡普兰-梅尔分析在核心组织中发现了6种显著代谢物,5种在边缘组织中.
- 结合边缘代谢物的多变量Cox回归模型,根据患者的性别和年龄进行校正,仍然是OS的重要预测因素.
- 来自核心代谢物的风险评分是OS的显著预测因素,并通过XGBL模型 (AUC = 0.876) 验证.
结论:
- 质母细胞瘤 (GBM) 核心和边缘组织的代谢分析可以有效地根据整体存活率 (OS) 对患者进行分层.
- 这种方法为开发新的生物标志物提供了潜力,用于在GBM患者中进行风险分层.
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