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利用成像质谱细胞术绘制黑色素瘤免疫景观的空间图谱。

Spatially mapping the immune landscape of melanoma using imaging mass cytometry.

机构信息

Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada.

McGill University Health Centre, Montréal, QC, Canada.

出版信息

Sci Immunol. 2022 Apr;7(70):eabi5072. doi: 10.1126/sciimmunol.abi5072. Epub 2022 Apr 1.


DOI:10.1126/sciimmunol.abi5072
PMID:35363543
Abstract

Melanoma is an immunogenic cancer with a high response rate to immune checkpoint inhibitors (ICIs). It harbors a high mutation burden compared with other cancers and, as a result, has abundant tumor-infiltrating lymphocytes (TILs) within its microenvironment. However, understanding the complex interplay between the stroma, tumor cells, and distinct TIL subsets remains a substantial challenge in immune oncology. To properly study this interplay, quantifying spatial relationships of multiple cell types within the tumor microenvironment is crucial. To address this, we used cytometry time-of-flight (CyTOF) imaging mass cytometry (IMC) to simultaneously quantify the expression of 35 protein markers, characterizing the microenvironment of 5 benign nevi and 67 melanomas. We profiled more than 220,000 individual cells to identify melanoma, lymphocyte subsets, macrophage/monocyte, and stromal cell populations, allowing for in-depth spatial quantification of the melanoma microenvironment. We found that within pretreatment melanomas, the abundance of proliferating antigen-experienced cytotoxic T cells (CD8CD45ROKi67) and the proximity of antigen-experienced cytotoxic T cells to melanoma cells were associated with positive response to ICIs. Our study highlights the potential of multiplexed single-cell technology to quantify spatial cell-cell interactions within the tumor microenvironment to understand immune therapy responses.

摘要

黑色素瘤是一种免疫原性癌症,对免疫检查点抑制剂(ICIs)有很高的反应率。与其他癌症相比,它具有较高的突变负担,因此在其微环境中有大量的肿瘤浸润淋巴细胞(TILs)。然而,理解基质、肿瘤细胞和不同 TIL 亚群之间的复杂相互作用仍然是免疫肿瘤学的一个重大挑战。为了正确研究这种相互作用,定量肿瘤微环境中多种细胞类型的空间关系至关重要。为了解决这个问题,我们使用流式细胞术飞行时间(CyTOF)成像质谱流式细胞术(IMC)同时定量 35 种蛋白质标志物的表达,对 5 个良性痣和 67 个黑色素瘤的微环境进行了特征描述。我们对超过 220,000 个单个细胞进行了分析,以识别黑色素瘤、淋巴细胞亚群、巨噬细胞/单核细胞和基质细胞群体,从而能够深入定量黑色素瘤微环境。我们发现,在预处理黑色素瘤中,增殖的抗原经验性细胞毒性 T 细胞(CD8CD45ROKi67)的丰度和抗原经验性细胞毒性 T 细胞与黑色素瘤细胞的接近程度与对 ICIs 的阳性反应相关。我们的研究强调了多重单细胞技术定量肿瘤微环境中细胞间空间相互作用以理解免疫治疗反应的潜力。

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Spatially mapping the immune landscape of melanoma using imaging mass cytometry.

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[3]
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