GE Global Research, Diagnostics, Imaging and Biotechnology (DIBT), Niskayuna, NY, USA.
Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Mod Pathol. 2018 Mar;31(3):406-417. doi: 10.1038/modpathol.2017.143. Epub 2017 Nov 17.
Heterogeneous patterns of mutations and RNA expression have been well documented in invasive cancers. However, technological challenges have limited the ability to study heterogeneity of protein expression. This is particularly true for pre-invasive lesions such as ductal carcinoma in situ of the breast. Cell-level heterogeneity in ductal carcinoma in situ was analyzed in a single 5 μm tissue section using a multiplexed immunofluorescence analysis of 11 disease-related markers (EGFR, HER2, HER4, S6, pmTOR, CD44v6, SLC7A5 and CD10, CD4, CD8 and CD20, plus pan-cytokeratin, pan-cadherin, DAPI, and Na+K+ATPase for cell segmentation). Expression was quantified at cell level using a single-cell segmentation algorithm. K-means clustering was used to determine co-expression patterns of epithelial cell markers and immune markers. We document for the first time the presence of epithelial cell heterogeneity within ducts, between ducts and between patients with ductal carcinoma in situ. There was moderate heterogeneity in a distribution of eight clusters within each duct (average Shannon index 0.76; range 0-1.61). Furthermore, within each patient, the average Shannon index across all ducts ranged from 0.33 to 1.02 (s.d. 0.09-0.38). As the distribution of clusters within ducts was uneven, the analysis of eight ducts might be sufficient to represent all the clusters ie within- and between-duct heterogeneity. The pattern of epithelial cell clustering was associated with the presence and type of immune infiltrates, indicating a complex interaction between the epithelial tumor and immune system for each patient. This analysis also provides the first evidence that simultaneous analysis of both the epithelial and immune/stromal components might be necessary to understand the complex milieu in ductal carcinoma in situ lesions.
在浸润性癌症中,突变和 RNA 表达的异质性模式已得到充分证实。然而,技术挑战限制了研究蛋白质表达异质性的能力。对于乳腺导管原位癌等前浸润性病变尤其如此。在单个 5μm 组织切片中,使用针对 11 种疾病相关标志物(EGFR、HER2、HER4、S6、pmTOR、CD44v6、SLC7A5 和 CD10、CD4、CD8 和 CD20,外加泛细胞角蛋白、泛钙粘蛋白、DAPI 和 Na+K+ATPase 用于细胞分割)的多重免疫荧光分析,分析了导管原位癌中的细胞水平异质性。使用单细胞分割算法对细胞水平的表达进行量化。使用 K-均值聚类确定上皮细胞标志物和免疫标志物的共表达模式。我们首次记录了在乳腺导管内、导管之间和导管原位癌患者之间存在上皮细胞异质性。每个导管内 8 个簇的分布存在中等程度的异质性(平均香农指数 0.76;范围 0-1.61)。此外,在每个患者中,所有导管的平均香农指数范围为 0.33 至 1.02(标准差 0.09-0.38)。由于簇在导管内的分布不均匀,因此分析 8 个导管可能足以代表所有簇,即导管内和导管间的异质性。上皮细胞聚类的模式与免疫浸润的存在和类型相关,表明每个患者的上皮肿瘤和免疫系统之间存在复杂的相互作用。这种分析还首次提供了证据,表明同时分析上皮和免疫/基质成分可能是理解导管原位癌病变复杂环境所必需的。