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单细胞技术揭示的非小细胞肺癌免疫生物学:免疫治疗患者生物标志物开发的意义。

Immune biology of NSCLC revealed by single-cell technologies: implications for the development of biomarkers in patients treated with immunotherapy.

机构信息

Team Immunity and Cancer, Centre de Recherche en Cancérologie de Marseille (CRCM), CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University UM105, Inserm U1068, 13009, Marseille, France.

Immunomonitoring Department, Institut Paoli-Calmettes, 13009, Marseille, France.

出版信息

Semin Immunopathol. 2023 Jan;45(1):29-41. doi: 10.1007/s00281-022-00973-1. Epub 2022 Nov 21.

Abstract

First-line immunotherapy in non-small-cell lung cancer largely improved patients' survival. PD-L1 testing is required before immune checkpoint inhibitor initiation. However, this biomarker fails to accurately predict patients' response. On the other hand, immunotherapy exposes patients to immune-related toxicity, the mechanisms of which are still unclear. Hence, there is an unmet need to develop clinically approved predictive biomarkers to better select patients who will benefit the most from immune checkpoint inhibitors and improve risk management. Single-cell technologies provide unprecedented insight into the tumor and its microenvironment, leading to the discovery of immune cells involved in immune checkpoint inhibitor response or toxicity. In this review, we will underscore the potential of the single-cell approach to identify candidate biomarkers improving non-small-cell lung cancer patients' care.

摘要

一线免疫疗法在非小细胞肺癌中极大地改善了患者的生存。在启动免疫检查点抑制剂之前需要进行 PD-L1 检测。然而,这种生物标志物未能准确预测患者的反应。另一方面,免疫疗法使患者面临免疫相关毒性,其机制尚不清楚。因此,需要开发临床批准的预测生物标志物,以更好地选择最受益于免疫检查点抑制剂的患者,并改善风险管理。单细胞技术为肿瘤及其微环境提供了前所未有的深入了解,从而发现了参与免疫检查点抑制剂反应或毒性的免疫细胞。在这篇综述中,我们将强调单细胞方法识别候选生物标志物的潜力,以改善非小细胞肺癌患者的治疗效果。

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Predictive biomarkers for immune checkpoint inhibitors therapy in lung cancer.预测免疫检查点抑制剂治疗肺癌的生物标志物。
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