PO.TB02.02 · 肿瘤生物学
肿瘤-免疫微环境的高重数3D成像
High-plex 3D imaging of the tumor-immune microenvironment
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摘要 Abstract
中文摘要
实体瘤在与免疫系统的竞争中演化,并且必须吸引营养和氧气等资源以增殖并侵袭正常组织。这导致肿瘤微环境(TME)内肿瘤、免疫和基质细胞类型呈现复杂的空间分布。这些细胞之间参与肿瘤进展和治疗应答的调控相互作用存在于广泛的长度尺度上,从亚细胞膜结构域(例如参与PD1与PDL1之间自分泌信号传导)到跨越数千个细胞直径的延展结构(如淋巴聚集体和肿瘤侵袭边界)。高度多重的组织成像(空间蛋白质组学)与其他单细胞方法相结合,有望以分子层面的细节揭示这些TME特征的组成和调控,但迄今为止收集的绝大多数数据,包括所有基于苏木精和伊红(H&E)及免疫组织化学(IHC)的经典组织病理学,都涉及薄的2D组织切片。我们最近证明,在此类5微米组织切片中没有细胞是完整的,这对细胞类型识别和相互作用分析产生了实质性影响(Yapp……Sorger等(2025)NatMeth,PMID:41023436)。我们现将描述一套计算和实验方法的开发,用于在不同分辨率和空间尺度上对人类肿瘤切片进行基于图像的3D分析,范围从约50微米厚(采用共聚焦成像)到1毫米厚(采用循环光片显微镜)。厚切片3D循环免疫荧光(CyCIF)使得能够基于细胞膜的邻近性而非仅仅基于细胞核的位置来映射细胞间相互作用,而后者是空间组织分析中的常见做法。此外,通过执行50余种标志物、高分辨率(低于200 nm)的厚切片CyCIF,我们能够利用固定时间点数据和轨迹分析推断动态生物学过程。其中最主要的过程是T细胞介导的细胞毒性,通过免疫突触的形成以及含颗粒酶和/或颗粒溶素的囊泡向肿瘤细胞的极化分泌来检测。迄今为止,光片荧光显微镜(LSFM)主要应用于模式生物(尤其是小鼠和鱼)组织的分析,其中感兴趣的结构通过与荧光蛋白融合或注射染料来标记。我们现已开发出在人类FFPE组织上执行循环LSFM的方法,能够详细研究大型多细胞集合体。我们将描述对次级和三级淋巴结构及其在编程B细胞和T细胞以实现抗肿瘤免疫中作用的分析。最后,我们将描述如何组合不同类型的3D分析,以涵盖人类TME内空间尺度和调控相互作用的多样性。
查看英文原文 English abstract
Solid tumors evolve in competition with the immune system and must attract resources such as nutrients and oxygen to proliferate and invade normal tissue. This results in complex spatial distribution of tumor, immune, and stromal cell types within the tumor microenvironment (TME). Regulatory interactions among these cells involved in tumor progression and response to therapy are found on a wide range of length scales from subcellular membrane domains (involved in autocrine signaling between PD1 and PDL1 for example) to extended structures spanning thousands of cell diameters such as lymphoid aggregates and tumor invasive boundaries. Highly multiplexed tissue imaging (spatial proteomics), in combination with other single cell methods, promises to reveal the composition and regulation of these TME features in molecular detail but the great majority of data collected to date, including all classical histopathology based on hematoxylin and eosin (H&E) and immunohistochemistry (IHC), involves thin 2D tissue slices. We have recently demonstrated that no cells in such 5 micron tissue section are intact and that this substantially impacts cell type identification and interaction analysis (Yapp...Sorger et al (2025) NatMeth, PMID: 41023436). We will now describe the development of a suite of computational and experimental methods for performing 3D image-based profiling of human tumor sections at different resolutions and spatial scales ranging from ~50 micron thick (with confocal imaging) to 1 mm thick (with cyclic light sheet microscopy). Thick section 3D cyclic immunofluorescence (CyCIF) makes it possible to map cell-cell interactions based on the proximity of cell membranes rather than simply the location of nuclei, as commonly done in spatial tissue analysis. Moreover, by performing 50-plus marker, high resolution (below 200 nm), thick section CyCIF we are able to infer dynamic biological processes using fixed time data and trajectory analysis. Chief among these processes is T-cell mediated cytotoxicity as assayed by formation of immune synapses and polarized secretion of granzyme and/or granulysin containing vesicles toward tumor cells. To date, light sheet fluorescence microscopy (LSFM) has been applied primarily to the analysis of tissues in model organisms (particularly mice and fish) with structures of interest labelled either by fusion to fluorescence proteins or by injecting dyes. We have now developed methods to perform cyclic LSFM on human FFPE tissue, enabling large multi-cellular assemblies to be studied in detail. We will describe an analysis of secondary and tertiary lymphoid structures and their roles in programming B and T cells for anti-tumor immunity. Finally, we will describe how different types of 3D profiling can be combined to span the diversity of spatial scales and regulatory interactions within the human TME.
利益披露 Disclosure
P. K. Sorger,
RareCyte Inc. Independent Contractor, Stock, Stock Option, Travel.
Glencoe Software g., Board of Directors, non-salaried role), Stock.
Merck Independent Contractor.
Leica-Danaher Independent Contractor, Travel.
Montai Inc. Independent Contractor, Stock Option.
C. Yapp, None..
A. Wong, None..
Y. D. Lu, None.