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早期记忆 T 细胞分化和细胞死亡抵抗预测黑色素瘤对序贯抗 CTLA-4 和抗 PD-1 免疫治疗的反应。

Early memory differentiation and cell death resistance in T cells predicts melanoma response to sequential anti-CTLA4 and anti-PD1 immunotherapy.

机构信息

Laboratory of Cell Stress & Immunity (CSI), Department of Cellular & Molecular Medicine, KU Leuven, Leuven, Belgium.

Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium.

出版信息

Genes Immun. 2021 Jun;22(2):108-119. doi: 10.1038/s41435-021-00138-4. Epub 2021 Jun 2.

Abstract

Immune checkpoint blockers (ICBs)-based immunotherapy has revolutionised oncology. However, the benefits of ICBs are limited to only a subset of patients. Herein, the biomarkers-driven application of ICBs promises to increase their efficacy. Such biomarkers include lymphocytic IFNγ-signalling and/or cytolytic activity (granzymes and perforin-1) footprints, whose levels in pre-treatment tumours can predict favourable patient survival following ICB-treatment. However, it is not clear whether such biomarkers have the same value in predicting survival of patients receiving first-line anti-CTLA4 ICB-therapy, and subsequently anti-PD1 ICB-therapy (i.e., sequential ICB-immunotherapy regimen). To address this, we applied highly integrated systems/computational immunology approaches to existing melanoma bulk-tumour transcriptomic and single-cell (sc)RNAseq data originating from immuno-oncology clinical studies applying ICB-treatment. Interestingly, we observed that CD8/CD4T cell-associated IFNγ-signalling or cytolytic activity signatures fail to predict tumour response in patients treated with anti-CTLA4 ICB-therapy as a first-line and anti-PD1 ICB-therapy in the second-line setting. On the contrary, signatures associated with early memory CD8/CD4T cells (integrating TCF1-driven stem-like transcriptional programme), capable of resisting cell death/apoptosis, better predicted objective response rates to ICB-immunotherapy, and favourable survival in the setting of sequential ICB-immunotherapy. These observations suggest that sequencing of ICB-therapy might have a specific impact on the T cell-repertoire and may influence the predictive value of tumoural immune biomarkers.

摘要

免疫检查点抑制剂 (ICB) 为基础的免疫疗法彻底改变了肿瘤学。然而,ICB 的益处仅限于一部分患者。在此,基于生物标志物的 ICB 应用有望提高其疗效。此类生物标志物包括淋巴细胞 IFNγ 信号和/或细胞毒性活性 (颗粒酶和穿孔素-1) 特征,其在治疗前肿瘤中的水平可以预测 ICB 治疗后患者的有利生存。然而,目前尚不清楚这些生物标志物在预测接受一线抗 CTLA4 ICB 治疗和随后抗 PD1 ICB 治疗(即序贯 ICB 免疫治疗方案)的患者生存方面是否具有相同的价值。为了解决这个问题,我们应用了高度集成的系统/计算免疫学方法,对源于免疫肿瘤学临床研究中应用 ICB 治疗的黑色素瘤批量肿瘤转录组和单细胞 (sc)RNAseq 数据进行了分析。有趣的是,我们观察到 CD8/CD4T 细胞相关的 IFNγ 信号或细胞毒性活性特征无法预测接受一线抗 CTLA4 ICB 治疗和二线抗 PD1 ICB 治疗的患者的肿瘤反应。相反,与早期记忆 CD8/CD4T 细胞相关的特征(整合 TCF1 驱动的干细胞样转录程序),能够抵抗细胞死亡/凋亡,更好地预测了 ICB 免疫治疗的客观缓解率,并在序贯 ICB 免疫治疗中预测了有利的生存。这些观察结果表明,ICB 治疗的测序可能对 T 细胞库具有特定的影响,并可能影响肿瘤免疫生物标志物的预测价值。

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