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基于代谢基因风险评分和免疫微环境相互作用的低度质瘤预后模型的开发和验证
Haobin Liu1,2, Yuxiao Wu1,2, Haoyu Sun1,2
1School of Clinical Medicine, Shandong Second Medical University, Weifang, 261000, China.
Discover oncology
|February 10, 2026
概括
一个新的代谢驱动的预后模型准确地预测了低度质瘤 (LGG) 的进展. 高风险的LGG患者表现出免疫抑制和新陈代谢改变,这表明新的治疗点.
科学领域:
- 在瘤学瘤学.
- 代谢途径 代谢途径
- 免疫学 免疫学 免疫学
背景情况:
- 低度质瘤 (LGGs) 呈现异质性,使得目前的方法难以预测进展.
- 代谢重编程是一种与免疫微环境变化相关的癌症特征,但其在LGG预后中的作用尚不清楚.
研究的目的:
- 开发一个强大的代谢相关的LGG预后签名.
- 为了研究代谢重编程和LGG中的免疫微环境之间的相互作用.
主要方法:
- 利用来自TCGA,CGGA和其他数据库的1322名LGG患者的多omics数据.
- 通过差异表达,考克斯回归和WGCNA识别了与代谢相关的基因,通过PPI网络分析进行了细化.
- 使用CoxBoost和Ridge回归构建了一个枢纽代谢相关基因风险评分 (HMRG-RS).
主要成果:
- 确定了7个枢纽代谢基因,并开发了HMRG-RS,证明了强大的预后性能 (C指数0.723).
- 高风险患者的生存时间较短,免疫抑制的微环境 (M2巨细胞,高TMB) 和依赖于IDH1突变的预后值.
- 单细胞分析显示,HMRG在髓状细胞,特别是M2巨细胞中的表达,与脂质代谢和免疫逃避有关.
结论:
- 一个经过验证的代谢驱动的预后模型 (HMRG-RS) 将LGG患者分层.
- 该模型将高风险得分与代谢失调和免疫抑制微环境联系起来,特别是在髓状细胞中.
- 确定了潜在的治疗标和药物敏感性,指导了LGG代谢-免疫相互作用的未来策略.
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