一个与免疫相关的基因预测风险模型,用于使用人工智能治疗直肠癌的新辅助化学放射治疗
Pei Shu1,2,3, Ning Liu4, Xu Luo5,6
1Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Frontiers in oncology
|February 26, 2024
概括
一种新的免疫相关基因预后模型 (IRGPM) 预测了局部晚期直肠癌 (LARC) 患者的无疾病生存期 (DFS). 该模型识别了具有更好的DFS和增强抗瘤免疫力的低风险患者.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 生物信息学是一种生物信息学.
背景情况:
- 局部晚期直肠癌 (LARC) 的预后很复杂.
- 预测无病生存期 (DFS) 对于治疗规划至关重要.
- 免疫相关基因 (IRG) 在癌症进展中发挥作用.
研究的目的:
- 为LARC.开发和验证基于IRG的预后模型 (IRGPM).
- 在接受新辅助化疗或放射治疗的LARC患者中预测DFS.
- 探索与不同预后结果相关的免疫特征.
主要方法:
- 利用来自公共 (GEO) 和机构数据库的转录和临床数据.
- 用于IRG选择的弹性网和用于IRGPM开发的随机森林.
- 计算预后风险得分,将患者分为高风险和低风险组.
主要成果:
- 识别了IRGPM的20基因IRG签名.
- 高风险患者的5年DFS显著降低.
- 低风险组表现出更高的免疫评分和激活免疫细胞透率的增加.
结论:
- 该IRGPM有效地区分了LARC患者的DFS.
- 低风险患者表现出增强的适应性免疫反应.
- 该模型有助于理解LARC中的瘤免疫微环境.
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