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利用成像质谱流式空间绘制黑色素瘤免疫图谱

英文原题:Spatially mapping the immune landscape of melanoma using imaging mass cytometry.

查看英文原题

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

PubMed 2022/04/01(内容时间) Sci Immunol Q1 · IF 16.4(JCR 2025)

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中文摘要

黑色素瘤是一种免疫原性癌症,对免疫检查点抑制剂(ICIs)具有高缓解率。与其他癌症相比,它具有高突变负荷,因此在其微环境中含有丰富的TIL(肿瘤浸润淋巴细胞)(TILs)。

然而,理解基质、肿瘤细胞和不同TIL亚群之间复杂的相互作用仍然是免疫肿瘤学中的一个重大挑战。为了正确研究这种相互作用,量化肿瘤微环境中多种细胞类型的空间关系至关重要。为解决这一问题,我们使用流式细胞术时间飞行(CyTOF)成像质谱流式(IMC)同时量化35种蛋白质标记物的表达,表征了5个良性痣和67个黑色素瘤的微环境。

我们对超过220,000个单细胞进行了分析,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,从而实现对黑色素瘤微环境的深入空间量化。

我们发现,在治疗前黑色素瘤中,增殖性抗原经验细胞毒性T细胞(CD8 + CD45RO + Ki67 +)的丰度以及抗原经验细胞毒性T细胞与黑色素瘤细胞的邻近性与ICIs的阳性应答相关。

我们的研究突出了多重单细胞技术在量化肿瘤微环境内空间细胞-细胞相互作用以理解免疫治疗应答方面的潜力。

展开英文摘要原文

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 (CD8 + CD45RO + Ki67 + ) 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.

论文信息

作者
Moldoveanu D、Ramsay L、Lajoie M、Anderson-Trocme L、Lingrand M、Berry D、Perus LJM、Wei Y
单位
Rosalind and Morris Goodman Cancer Institute, McGill University, Montréal, QC, Canada.Canada
文献类型
非美国政府资助研究
期刊
Science immunology2022 Apr
原文标识
PubMed 35363543 · DOI 10.1126/sciimmunol.abi5072