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免疫治疗时代的肿瘤浸润淋巴细胞。

Tumor-infiltrating lymphocytes in the immunotherapy era.

机构信息

Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

出版信息

Cell Mol Immunol. 2021 Apr;18(4):842-859. doi: 10.1038/s41423-020-00565-9. Epub 2020 Nov 2.

Abstract

The clinical success of cancer immune checkpoint blockade (ICB) has refocused attention on tumor-infiltrating lymphocytes (TILs) across cancer types. The outcome of immune checkpoint inhibitor therapy in cancer patients has been linked to the quality and magnitude of T cell, NK cell, and more recently, B cell responses within the tumor microenvironment. State-of-the-art single-cell analysis of TIL gene expression profiles and clonality has revealed a remarkable degree of cellular heterogeneity and distinct patterns of immune activation and exhaustion. Many of these states are conserved across tumor types, in line with the broad responses observed clinically. Despite this homology, not all cancer types with similar TIL landscapes respond similarly to immunotherapy, highlighting the complexity of the underlying tumor-immune interactions. This observation is further confounded by the strong prognostic benefit of TILs observed for tumor types that have so far respond poorly to immunotherapy. Thus, while a holistic view of lymphocyte infiltration and dysfunction on a single-cell level is emerging, the search for response and prognostic biomarkers is just beginning. Within this review, we discuss recent advances in the understanding of TIL biology, their prognostic benefit, and their predictive value for therapy.

摘要

癌症免疫检查点阻断 (ICB) 的临床成功重新引起了人们对肿瘤浸润淋巴细胞 (TIL) 的关注,涉及多种癌症类型。癌症患者免疫检查点抑制剂治疗的结果与肿瘤微环境中 T 细胞、NK 细胞和最近 B 细胞反应的质量和数量有关。TIL 基因表达谱和克隆性的最先进的单细胞分析揭示了显著的细胞异质性和不同的免疫激活和耗竭模式。这些状态中的许多在肿瘤类型之间是保守的,与临床上观察到的广泛反应一致。尽管存在这种同源性,但并非所有具有相似 TIL 景观的癌症类型对免疫治疗的反应都相似,这突出了肿瘤免疫相互作用的复杂性。对于迄今为止对免疫治疗反应不佳的肿瘤类型,观察到 TIL 具有很强的预后益处,这进一步加剧了这种观察结果。因此,尽管在单细胞水平上对淋巴细胞浸润和功能进行整体观察正在出现,但对反应和预后生物标志物的研究才刚刚开始。在这篇综述中,我们讨论了对 TIL 生物学、其预后益处及其对治疗的预测价值的理解的最新进展。

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