Frenkel Nicola, Poghosyan Susanna, van Wijnbergen Jan Willem, van den Bent Lotte, Wijler Liza, Verheem André, Borel Rinkes Inne, Kranenburg Onno, Hagendoorn Jeroen
Laboratory for Translational Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
Front Oncol. 2023 Mar 28;13:1062926. doi: 10.3389/fonc.2023.1062926. eCollection 2023.
The liver has a complex and hierarchical segmental organization of arteries, portal veins, hepatic veins and lymphatic vessels. In-depth imaging of liver vasculature and malignancies could improve knowledge on tumor micro-environment, local tumor growth, invasion, as well as metastasis. Non-invasive imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI) and positron-emission transmission (PET) are routine for clinical imaging, but show inadequate resolution at cellular and subcellular level. In recent years, tissue clearing - a technique rendering tissues optically transparent allowing enhanced microscopy imaging - has made great advances. While mainly used in the neurobiology field, recently more studies have used clearing techniques for imaging other organ systems as well as tumor tissues. In this study, our aim was to develop a reproducible tissue clearing and immunostaining model for visualizing intrahepatic blood microvasculature and tumor cells in murine colorectal liver metastases. CLARITY and 3DISCO/iDISCO+ are two established clearing methods that have been shown to be compatible with immunolabelling, most often in neurobiology research. In this study, CLARITY unfortunately resulted in damaged tissue integrity of the murine liver lobes and no specific immunostaining. Using the 3DISCO/iDISCO+ method, liver samples were successfully rendered optically transparent. After which, successful immunostaining of the intrahepatic microvasculature using panendothelial cell antigen MECA-32 and colorectal cancer cells using epithelial cell adhesion molecule (EpCAM) was established. This approach for tumor micro-environment tissue clearing would be especially valuable for allowing visualization of spatial heterogeneity and complex interactions of tumor cells and their environment in future studies.
肝脏具有复杂且分层的动脉、门静脉、肝静脉和淋巴管节段组织。对肝脏脉管系统和恶性肿瘤进行深入成像,有助于增进对肿瘤微环境、局部肿瘤生长、侵袭以及转移的了解。计算机断层扫描(CT)、磁共振成像(MRI)和正电子发射断层扫描(PET)等非侵入性成像技术是临床成像的常规手段,但在细胞和亚细胞水平上分辨率不足。近年来,组织透明化技术取得了重大进展,该技术可使组织在光学上变得透明,从而增强显微镜成像效果。虽然主要应用于神经生物学领域,但最近越来越多的研究将透明化技术用于其他器官系统以及肿瘤组织的成像。在本研究中,我们的目标是开发一种可重复的组织透明化和免疫染色模型,用于可视化小鼠结直肠癌肝转移灶中的肝内血液微血管和肿瘤细胞。CLARITY和3DISCO/iDISCO+是两种已确立的透明化方法,已证明它们与免疫标记兼容,最常用于神经生物学研究。在本研究中,不幸的是,CLARITY导致小鼠肝叶的组织完整性受损,且未出现特异性免疫染色。使用3DISCO/iDISCO+方法,肝脏样本成功实现了光学透明。之后,使用泛内皮细胞抗原MECA-32对肝内微血管进行了成功的免疫染色,并使用上皮细胞粘附分子(EpCAM)对结直肠癌细胞进行了成功的免疫染色。这种肿瘤微环境组织透明化方法对于在未来研究中实现肿瘤细胞及其环境的空间异质性和复杂相互作用的可视化将特别有价值。