PO.TB10.08 · 肿瘤生物学

乳腺癌和胃肠道肿瘤的显色三重标记表征用于生物标志物发现和空间图像分析

Chromogenic triplex characterization of breast and gastrointestinal cancers for biomarker discovery and spatial image analysis

编号 4944 展板 1 时间 4/21 09:00–12:00 区域 Section 31 主讲 Scott Anderson
分会场 Spatial Niches and Functional Boundaries within the Tumor Microenvironment 1
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作者与单位 Authors & Affiliations

Andrew Fuller1, Stacey Margerrison1, Scott J. Anderson1, Anne Hellebust2

1Leica Biosystems, Buffalo Grove, IL,2Indica Labs, Albuquerque, NM

摘要 Abstract

中文摘要
背景:HER2和PD-L1表达是乳腺癌和胃肠道(GI)肿瘤研究中的关键生物标志物。肿瘤免疫微环境,特别是肿瘤浸润淋巴细胞(TIL)的存在,也在这些肿瘤中发挥关键作用,越来越多的证据表明肿瘤与其环境之间信号传导的重要性。在本研究中,我们评估了两种多重显色免疫组化(IHC)检测——HER2/PD-L1/CD3和HER2/PD-L1/CD8——以评估它们的表达及相关信号通路之间的关系。 方法:来自HER2表达和/或PD-L1阳性的乳腺癌和GI肿瘤的福尔马林固定石蜡包埋(FFPE)组织切片,在Leica Biosystems的BOND RX RUO自动染色仪上使用CD3/HER2/PD-L1和CD8/HER2/PD-L1显色多重IHC检测进行染色。检测采用Leica Biosystems的Chromoplex III三重检测RUO系统。使用Aperio GT 450 DX扫描仪进行全片成像,并使用Indica Labs的HALO®数字图像分析,借助多重IHC模块及HALO AI核和膜分割来定量生物标志物表达。已识别的肿瘤细胞与免疫浸润之间的关系通过空间分析模块进一步探究。 结果:在HER2阳性乳腺癌中,PD-L1和TIL标志物(CD3、CD8)的表达存在差异,其中一部分病例显示高CD8+ T细胞浸润,可能提示更具免疫原性的表型。HALO AI分析深入揭示了乳腺癌和胃癌病例中CD3、CD8和PD-L1阳性浸润细胞与HER2阳性癌细胞的邻近关系,借助显色多重标记提供了有价值的空间分析。使用ChromoPlex III三重检测RUO同时可视化3种标志物,可实现肿瘤样本的自动化空间分析。在HER2阳性乳腺癌和胃癌病例中,CD3+细胞和CD8+细胞显示出更高密度并更接近HER2阳性细胞,最多的CD3或CD8+细胞出现在HER2+细胞10µm范围内。 结论:ChromoPlex III三重检测RUO可作为一种工具,通过自动化染色(BOND RX)在FFPE组织中识别3种同步标志物。例如,HER2、PD-L1和CD3/CD8的多重显色IHC染色,为乳腺癌和GI肿瘤中肿瘤与免疫细胞微环境之间的相互作用提供了有价值的见解。全片数字病理(Aperio GT 450 DX)和HALO AI图像分析的使用,能够对多重显色染色切片进行高通量评估。HALO AI图像分析是自动化定量标志物表达和邻近分析的强大工具。
查看英文原文 English abstract
Background: HER2 and PD-L1 expression serve as key biomarkers in breast and gastrointestinal (GI) cancer research. The tumor immune microenvironment, particularly the presence of tumor-infiltrating lymphocytes (TILs), also plays a critical role in these cancers, with mounting evidence of the importance of the signaling between the tumor and its environment. In this study, we evaluated two multiplex chromogenic immunohistochemistry (IHC) assays, HER2/PD-L1/CD3 and HER2/PD-L1/CD8, to assess the relationships among their expressions and related signaling pathways. Methods:​ Formalin-fixed, paraffin-embedded (FFPE)tissue sections from HER2-expressing and/orPD-L1-positive breast and GI cancers were stained using CD3/HER2/PD-L1 andCD8/HER2/PD-L1 chromogenic multiplex IHC assays on the BOND RX RUO automated stainer from Leica Biosystems. The assays employed the Chromoplex III Triple Detection RUO system from LeicaBiosystems. Whole-slide imaging was performed on the Aperio GT 450 DX scanner, and HALO® digital image analysis from Indica Labs was used to quantify biomarker expression with the Multiplex IHC module leveraging HALO AI nuclear and membrane segmentation. Relationships between identified tumor cells and immune infiltrates were further interrogated with the Spatial Analysis module Results: In HER2-positive breast cancer, expression of PD-L1and TIL markers (CD3, CD8) varied, with a subset of cases showing high CD8+ T-cell infiltration, potentially indicative of a more immunogenic phenotype.​​HALO AI analysis provides insights into proximity ofCD3, CD8 and PDL1 positive infiltrating cells to HER2positive carcinoma cells within breast and stomach carcinoma cases providing valuable spatial analysis using chromogenic multiplexing.​​Visualization of 3 markers simultaneously using ChromoPlex III Triple Detection RUO allows automated spatial analysis of tumor samples.​​In HER2 positive breast cancer and stomach cancer cases higher density of CD3+ cells and CD8+ cells shown to be in closer proximity to HER2 positive cells with the highest number of CD3 or CD8+ cells seen within 10uM of a HER2+ cell. Conclusions: ChromoPlex III Triple Detection RUO can be used as a tool to identify 3 simultaneous markers in FFPE tissue using automated staining (BOND RX). As an example -multiplex chromogenic IHC staining of HER2, PD-L1,and CD3/CD8 provides valuable insights into the interplay between the tumor and the immune cell microenvironment in breast and GI cancers. The use of whole-slide digital pathology (Aperio GT 450 DX) and HALO AI Image Analysis, enables high-throughput assessment of multiplex chromogenic stained slides. HALO AI Image Analysis is a powerful tool for automated quantification of marker expression and proximity analysis.
利益披露 Disclosure
A. Fuller, Leica Biosystems Employment. S. Margerrison, Leica Biosystems Employment. S. J. Anderson, Leica Biosystems Employment.

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