与VAT1相关的基因特征预测了质瘤中的放射电阻
Xia Shan1, Zhiyan Sun2, Ruoyu Huang3
1Department of Radiotherapy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Heliyon
|March 4, 2025
概括
一个新的五基因特征有效地预测了放射治疗后质瘤患者的存活率. 这种特征与免疫抑制性瘤微环境有关,这可能导致质瘤的放射电阻.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 放射治疗研究 放射治疗研究
背景情况:
- 放射治疗对于质瘤的辅助治疗至关重要.
- 放射电阻显著阻碍了治疗的有效性.
- 需要全面了解质瘤的放射电阻特征.
研究的目的:
- 为了确定与质瘤中放射电阻相关的关键特征.
- 开发一种用于放射治疗后患者生存的预测模型.
- 探索瘤微环境在质瘤放射电阻中的作用.
主要方法:
- 利用拉索回归分析来确定五个基因的特征.
- 包括来自中国质瘤基因组图谱 (CGGA) 的191名患者参加培训.
- 在癌症基因组图谱 (TCGA) 中使用来自430名患者的RNA测序数据验证的发现.
主要成果:
- 确定了一种与VAT1相关的放射电阻相关的五基因特征.
- 高风险患者表现出诸如年龄较大,高度质瘤和IDH野生型等特征.
- 风险评分独立预测了整体存活率差,并与炎症/免疫反应和免疫抑制微环境相关.
结论:
- 这五个基因签名准确地预测了接受放射治疗的质瘤患者的存活率.
- 免疫抑制的微环境是质瘤的一个特征,可能导致放射电阻.
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