支持SERS的免疫监测:精确解读瘤微环境 癌症免疫疗法
Biqing Chen1, Jiayin Gao1, Haizhu Sun1
1Gynaecology and Obstetrics, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Heilongjiang 150081, PR China.
International immunopharmacology
|January 19, 2026
概括
表面增强拉曼散射 (SERS) 能够精确监测瘤免疫微环境 (TME). 这项技术有助于预测免疫疗法反应,并通过分析免疫细胞和分子来管理不良事件.
科学领域:
- 生物医学工程 生物医学工程
- 免疫学 免疫学 免疫学
- 纳米技术 纳米技术
背景情况:
- 瘤免疫微环境 (TME) 极大地影响癌症的进展和治疗疗效.
- 目前的免疫疗法由于反应率低和无法预测的免疫相关不良事件 (irAEs) 而面临局限性.
- 动态TME分析对于推进癌症免疫疗法至关重要.
研究的目的:
- 审查表面增强拉曼散射 (SERS) 在TME内的免疫监测方面的进展和应用.
- 突出SERS在定量检测免疫检查点分子和细胞因子方面的潜力.
- 探索基于SERS的策略来识别循环瘤细胞 (CTC) 和外体,并整合人工智能来预测结果.
主要方法:
- 使用SERS进行高度敏感的多重检测免疫生物标志物 (例如PD-L1,CTLA-4,TIM-3,IL-6,TNF-α,IFN-γ).
- 应用无标签的SERS光谱指纹用于CTC和外体的单颗粒分辨率.
- 整合人工智能 (AI) 和多omics分析以进行免疫表型分类和治疗结果预测.
主要成果:
- SERS实现了免疫检查点分子 (10-10-10-12M) 和细胞因子的敏感检测,用于早期细胞因子风暴诊断.
- 通过单颗粒分辨率,SERS可以无标签识别CTC和外体.
- 人工智能与SERS数据的整合在临床前模型中预测治疗结果时达到>90%的准确性.
结论:
- SERS提供了一个强大的,敏感的平台,用于动态的TME分析和免疫监测.
- 基于SERS的方法显示出早期诊断,治疗反应预测和管理irAEs的前景.
- 解决翻译性挑战是实现SERS作为精确免疫疗法的临床部署工具的关键.
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