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Updated: Sep 9, 2025

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells

Published on: February 8, 2018

机构规模的免疫分析显示,高数量的内CD8⁺和PD-1⁺细胞预测了主要癌症类型的优异患者生存率,独立于主要风险因素

Joao V Alessi¹, James R Lindsay², Anita Giobbie-Hurder²

¹Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA.

JCO precision oncology

|September 4, 2025

概括

使用数字病理学量化内CD8+和PD-1+免疫细胞可以预测许多癌症类型的患者存活率. 这种自动化方法提供了独立于临床阶段和治疗的有价值的预后信息.

科学领域:

计算病理学
免疫瘤学
数字病理学

背景情况:

之前的研究将瘤内免疫细胞与针对性治疗的特定癌症的结果联系起来.
通过数字病理学对免疫生物标志物的常规泛癌量化的临床实用性尚未确定.

研究的目的:

定期量化内免疫细胞 (CD8+,PD-1+,CD8+PD-1+,FOXP3+) 和PD- L1表达的临床价值.
在临床实验室环境中评估这些生物标志物的预后意义.

主要方法:

开发ImmunoProfile:一个集成自动化多重体免疫光,数字幻灯片成像和机器学习的工作流程.
在3年内对2,023名未经选择的癌症患者进行活检.
在FFPE组织中量化CD8+,PD-1+,CD8+PD-1+,FOXP3+细胞和PD-L1表达.

主要成果:

在胰腺癌队列中,高内CD8+或PD-1+细胞数与较低的死亡风险显著相关 (HR为0. 62- 0. 65,P<. 002).
亚组分析显示多种癌症 (NSCLC,结肠直肠癌,乳腺癌等) 的生存预测得到改善. 不论临床阶段或治疗方法.
ImmunoProfile的工作流显示了免疫生物标志物的标准化和可重复量化.

结论:

通过经过验证的数字病理平台对内CD8+和PD-1+细胞进行常规定量测试,可以预测主要癌症类型的患者存活率.
这些免疫生物标志物提供了独立于临床阶段和治疗多样性的预后价值.
ImmunoProfile为改善癌症患者预后提供了一种临床可用的工具.

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