Myeloid Cells as Clinical Biomarkers for Immune Checkpoint Blockade

被引:51
|
作者
Peranzoni, Elisa [1 ]
Ingangi, Vincenzo [2 ]
Masetto, Elena [2 ]
Pinton, Laura [2 ]
Marigo, Ilaria [2 ]
机构
[1] Inst Rech Int Servier, Ctr Therapeut Innovat Oncol, Suresnes, France
[2] Veneto Inst Oncol IOV IRCCS, Padua, Italy
来源
FRONTIERS IN IMMUNOLOGY | 2020年 / 11卷
关键词
myeloid cells; predictive biomarkers; MDSC (myeloid-derived suppressor cell); TAM (tumor-associated macrophage); circulating biomarkers; resistance to immunotherapy; immune checkpoint inhibitors; tumor biomarkers; TO-LYMPHOCYTE RATIO; TUMOR-ASSOCIATED MACROPHAGES; TRANS-RETINOIC ACID; PLASMACYTOID DENDRITIC CELLS; ENDOTHELIAL GROWTH-FACTOR; NITRIC-OXIDE-SYNTHASE; SUPPRESSOR-CELLS; PERIPHERAL-BLOOD; INDOLEAMINE 2,3-DIOXYGENASE; PREDICTIVE BIOMARKERS;
D O I
10.3389/fimmu.2020.01590
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Immune checkpoint inhibitors are becoming standard treatments in several cancer types, profoundly changing the prognosis of a fraction of patients. Currently, many efforts are being made to predict responders and to understand how to overcome resistance in non-responders. Given the crucial role of myeloid cells as modulators of T effector cell function in tumors, it is essential to understand their impact on the clinical outcome of immune checkpoint blockade and on the mechanisms of immune evasion. In this review we focus on the existing clinical evidence of the relation between the presence of myeloid cell subsets and the response to anti-PD(L)1 and anti-CTLA-4 treatment. We highlight how circulating and tumor-infiltrating myeloid populations can be used as predictive biomarkers for immune checkpoint inhibitors in different human cancers, both at baseline and on treatment. Moreover, we propose to follow the dynamics of myeloid cells during immunotherapy as pharmacodynamic biomarkers. Finally, we provide an overview of the current strategies tested in the clinic that use myeloid cell targeting together with immune checkpoint blockade with the aim of uncovering the most promising approaches for effective combinations.
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收藏
页数:24
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