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用于免疫组织化学分析的微井阵列中 3D 肿瘤球体的经济高效优化处理方法。

Cost-effective optimized method to process 3D tumoral spheroids in microwell arrays for immunohistochemistry analysis.

机构信息

Physiology and Neuroscience Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.

Biophysics and Cellular Biotechnology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.

出版信息

J Med Life. 2024 Jun;17(6):601-609. doi: 10.25122/jml-2024-0267.

Abstract

This study presents an improved method for obtaining spheroids microwell arrays for histological processing and analysis, focusing on glioblastoma (U87 MG) and breast adenocarcinoma (MCF-7) tumor models. By transitioning from traditional 2D cell cultures to 3D systems, this approach overcomes the limitations of 2D cultures by more accurately replicating the tumor microenvironment. The method consists of producing homotypic and heterotypic spheroids using low-adherence agarose-coated wells, embedding these spheroids in agarose microwell arrays, and conducting immunohistochemistry (IHC) to analyze cellular and molecular profiles. Morphological analyses were performed using OrganoSeg software, and IHC staining confirmed marker expressions consistent with respective tumor types. The study details the workflow from 2D cell culture to IHC analysis, including agarose well coating, spheroid embedding, and IHC staining for markers such as EMA, p53, Ki-67, ER, PR, and HER2. Results demonstrated compact, round U87 MG spheroids and fibroblast-stabilized MCF-7 spheroids, with both types exhibiting specific marker expressions. This innovative approach significantly enhances the efficiency of producing and analyzing large volumes of spheroids, making it both quick and cost-effective. It offers a robust drug screening and cancer research platform, maintaining spheroid traceability even in bulk workflow conditions. Furthermore, this methodology supports advances in personalized medicine by providing a more physiologically relevant model than 2D cultures, which is crucial for investigating tumor behavior and therapeutic responses through IHC.

摘要

本研究提出了一种改进的方法,用于获得用于组织学处理和分析的球体微井阵列,重点是神经胶质瘤(U87 MG)和乳腺腺癌(MCF-7)肿瘤模型。通过从传统的 2D 细胞培养转变为 3D 系统,该方法通过更准确地复制肿瘤微环境克服了 2D 培养的局限性。该方法包括使用低附着性琼脂糖涂层孔产生同型和异型球体,将这些球体嵌入琼脂糖微井阵列中,并进行免疫组织化学(IHC)分析以分析细胞和分子特征。使用 OrganoSeg 软件进行形态分析,并且 IHC 染色证实了与各自肿瘤类型一致的标志物表达。该研究详细介绍了从 2D 细胞培养到 IHC 分析的工作流程,包括琼脂糖孔涂层、球体嵌入和用于 EMA、p53、Ki-67、ER、PR 和 HER2 等标志物的 IHC 染色。结果显示了紧凑的圆形 U87 MG 球体和稳定的 MCF-7 球体,这两种类型均表现出特定的标志物表达。这种创新方法显著提高了大规模生产和分析球体的效率,使其既快速又具有成本效益。它提供了一个强大的药物筛选和癌症研究平台,即使在批量工作流程条件下也能保持球体的可追溯性。此外,这种方法通过提供比 2D 培养更具生理相关性的模型来支持个性化医学的进展,这对于通过 IHC 研究肿瘤行为和治疗反应至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8a/11407497/bfdf02a28223/JMedLife-17-601-g001.jpg

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