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激活的 T 细胞成像作为抗 PD-1 治疗免疫反应的早期预测指标。

Imaging of Activated T Cells as an Early Predictor of Immune Response to Anti-PD-1 Therapy.

机构信息

CellSight Technologies Incorporated, San Francisco, California.

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.

出版信息

Cancer Res. 2019 Jul 1;79(13):3455-3465. doi: 10.1158/0008-5472.CAN-19-0267. Epub 2019 May 7.

Abstract

Compelling evidence points to immune cell infiltration as a critical component of successful immunotherapy. However, there are currently no clinically available, noninvasive methods capable of evaluating immune contexture prior to or during immunotherapy. In this study, we evaluate a T-cell-specific PET agent, [18F]F-AraG, as an imaging biomarker predictive of response to checkpoint inhibitor therapy. We determined the specificity of the tracer for activated T cells and in a virally induced model of rhabdomyosarcoma. Of all immune cells tested, activated human CD8 effector cells showed the highest accumulation of [18F]F-AraG. Isolation of lymphocytes from the rhabdomyosarcoma tumors showed that more than 80% of the intratumoral signal came from accumulation of [18F]F-AraG in immune cells, primarily CD8 and CD4. Longitudinal monitoring of MC38 tumor-bearing mice undergoing anti-PD-1 treatment revealed differences in signal between PD-1 and isotype antibody-treated mice early into treatment. The differences in [18F]F-AraG signal were also apparent between responders and nonresponders to anti-PD-1 therapy. Importantly, we found that the signal in the tumor-draining lymph nodes provides key information about response to anti-PD-1 therapy. Overall, [18F]F-AraG has potential to serve as a much needed immunomonitoring clinical tool for timely evaluation of immunotherapy. SIGNIFICANCE: These findings reveal differences in T-cell activation between responders and nonresponders early into anti-PD-1 treatment, which may impact many facets of immuno-oncology, including patient selection, management, and development of novel combinatorial approaches.

摘要

有强有力的证据表明,免疫细胞浸润是免疫治疗成功的关键组成部分。然而,目前尚无临床可用的、非侵入性的方法能够在免疫治疗之前或期间评估免疫结构。在这项研究中,我们评估了一种 T 细胞特异性 PET 示踪剂 [18F]F-AraG,作为一种预测对检查点抑制剂治疗反应的成像生物标志物。我们确定了示踪剂对激活的 T 细胞的特异性,并在病毒诱导的横纹肌肉瘤模型中进行了评估。在所有测试的免疫细胞中,激活的人 CD8 效应细胞显示出最高的 [18F]F-AraG 积累。从横纹肌肉瘤肿瘤中分离淋巴细胞表明,超过 80%的肿瘤内信号来自于 [18F]F-AraG 在免疫细胞中的积累,主要是 CD8 和 CD4。对接受抗 PD-1 治疗的 MC38 荷瘤小鼠进行纵向监测发现,在治疗早期,PD-1 和同种型抗体治疗的小鼠之间的信号存在差异。抗 PD-1 治疗的应答者和无应答者之间的 [18F]F-AraG 信号差异也很明显。重要的是,我们发现肿瘤引流淋巴结中的信号提供了关于抗 PD-1 治疗反应的关键信息。总之,[18F]F-AraG 有可能成为一种急需的免疫监测临床工具,用于及时评估免疫治疗。意义:这些发现揭示了在抗 PD-1 治疗早期,应答者和无应答者之间 T 细胞激活的差异,这可能影响免疫肿瘤学的许多方面,包括患者选择、管理和新的组合方法的开发。

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