纵向血蛋白质组分析确定了IFN-马动态作为一种依赖时间的预测器,用于预测晚期胃癌中免疫治疗反应
Jingshuai Fang1,2,3, Yuhui Yu2,3, Yan Sun3,4
1School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
BMC cancer
|February 3, 2026
概括
血蛋白质组分析提供了一种非侵入性方法来预测胃癌免疫疗法反应. 干扰素- (IFN-) 水平,特别是早期升高,是治疗成功和患者存活率的关键指标.
科学领域:
- 在瘤学瘤学.
- 免疫治疗是一种免疫疗法.
- 蛋白质组学是指蛋白质组学.
背景情况:
- 胃癌 (GC) 免疫疗法的基于组织的生物标志物由于瘤异质性而存在局限性.
- 血蛋白质组分析为识别动态生物标记物提供了一个非侵入性的替代方案.
研究的目的:
- 探索血蛋白质组概况,以预测晚期GC中免疫治疗反应.
- 确定与治疗结果相关的动态蛋白质生物标志物.
主要方法:
- 88名接受免疫治疗的高级GC患者的前性队列研究.
- 在基线,循环2和循环4的纵向血蛋白质组分析.
- 复合蛋白评分发展的回归,通过考克斯模型和卡普兰-梅尔分析进行验证.
主要成果:
- 一个基线复合得分 (IFN-,CSF-1,MIC-A/B,ANGPT) 显示出强大的预测能力 (AUC=0.77).
- 基线IFN-的升高与改善的无进展生存期 (PFS) 和整体生存期 (OS) 相相关.
- 早期IFN-gamma升高预测了持久的临床益处;周期4后的降低表明复发风险.
结论:
- 在先进的GC免疫疗法中,IFN-gamma是预后评估和监测的关键生物标志物.
- 包括IFN-和PD-L1综合阳性得分 (CPS) 在内的复合模型显示出优异的预测效率.
- 在临床研究中需要进一步验证额外的生物标志物.
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