Ionpath Inc, Menlo Park, CA, USA.
Bristol-Myers Squibb, Princeton, NJ, USA.
Lab Invest. 2020 Aug;100(8):1111-1123. doi: 10.1038/s41374-020-0417-4. Epub 2020 Mar 23.
An ability to characterize the cellular composition and spatial organization of the tumor microenvironment (TME) using multiplexed IHC has been limited by the techniques available. Here we show the applicability of multiplexed ion beam imaging (MIBI) for cell phenotype identification and analysis of spatial relationships across numerous tumor types. Formalin-fixed paraffin-embedded (FFPE) samples from tumor biopsies were simultaneously stained with a panel of 15 antibodies, each labeled with a specific metal isotope. Multi-step processing produced images of the TME that were further segmented into single cells. Frequencies of different cell subsets and the distributions of nearest neighbor distances between them were calculated using this data. A total of 50 tumor specimens from 15 tumor types were characterized for their immune profile and spatial organization. Most samples showed infiltrating cytotoxic T cells and macrophages present amongst tumor cells. Spatial analysis of the TME in two ovarian serous carcinoma images highlighted differences in the degree of mixing between tumor and immune cells across samples. Identification of admixed PD-L1+ macrophages and PD-1+ T cells in an urothelial carcinoma sample allowed for the detailed observations of immune cell subset spatial arrangement. These results illustrate the high-parameter capability of MIBI at a sensitivity and resolution uniquely suited to understanding the complex tumor immune landscape including the spatial relationships of immune and tumor cells and expression of immunoregulatory proteins.
使用多重免疫组化来描述肿瘤微环境(TME)的细胞组成和空间组织的能力受到现有技术的限制。在这里,我们展示了多重离子束成像(MIBI)在鉴定细胞表型和分析多种肿瘤类型的空间关系方面的适用性。对肿瘤活检的福尔马林固定石蜡包埋(FFPE)样本同时用 15 种抗体进行染色,每种抗体都用特定的金属同位素标记。多步处理生成了 TME 的图像,这些图像进一步被分割成单个细胞。使用这些数据计算了不同细胞亚群的频率以及它们之间最近邻距离的分布。对来自 15 种肿瘤类型的 50 个肿瘤标本进行了免疫特征和空间组织的描述。大多数样本显示浸润性细胞毒性 T 细胞和巨噬细胞存在于肿瘤细胞之间。在两个卵巢浆液性癌图像中对 TME 的空间分析突出了样本之间肿瘤细胞和免疫细胞混合程度的差异。在一个尿路上皮癌样本中鉴定出混合的 PD-L1+巨噬细胞和 PD-1+T 细胞,允许对免疫细胞亚群空间排列进行详细观察。这些结果说明了 MIBI 的高参数能力,其灵敏度和分辨率非常适合理解复杂的肿瘤免疫景观,包括免疫和肿瘤细胞的空间关系以及免疫调节蛋白的表达。