Wee Yu Ting Felicia, Alkaff Syed Muhammad Fahmy, Lim Jeffrey Chun Tatt, Loh Josh Jie Hua, Hilmy Maryam Hazly, Ong Clara, Nei Wen Long, Jain Amit, Lim Alvin, Takano Angela, Azhar Rafay, Wan Wei Keat, Newell Evan, Yeong Joe, Lim Tony Kiat Hon
Department of Anatomical Pathology, Division of Pathology, Singapore General Hospital, 20 College Road, Academia, Diagnostics Tower, 169856, Singapore; Department of Anatomy, National University of Singapore (NUS), Yong Loo Lin School of Medicine, MD 10, 4 Medical Drive, 117594, Singapore.
Department of Anatomical Pathology, Division of Pathology, Singapore General Hospital, 20 College Road, Academia, Diagnostics Tower, 169856, Singapore.
Ann Diagn Pathol. 2018 Dec;37:12-19. doi: 10.1016/j.anndiagpath.2018.09.002. Epub 2018 Sep 11.
BACKGROUND/AIM: Epstein-Barr virus (EBV) is an oncovirus that is commonly associated with the development of lymphomas and epithelial carcinomas. In the era of immunotherapy, histological evaluation of EBV-related cancers is currently a multi-sample, multi-technique process requiring separate time-consuming detection of EBV-encoded small RNAs by in situ hybridisation (ISH), and parallel labelling of sections for cancer-associated protein markers.
Using EBV-associated tumours as proof-of-concept for feasibility, here we developed an approach that allows simultaneous detection of EBV RNAs and multiple protein markers such as PD-L1, EBV-LMP, CD8, CD4, CD20, CD30 and CD15on a single tissue section based on our recently reported automated staining protocol.
We successfully combined multiplex immunofluorescence (mIF) to detect 3 abovementioned protein markers involved in cancer, with ISH, and applied the protocol to f tissue samples from patients diagnosed with EBV-associated pulmonary lymphoepithelioma-like carcinoma (LELC), gastric carcinoma and Hodgkin's Lymphoma. Empowered by the Vectra 3 Automated Quantitative Pathology Imaging System, we demonstrate the utility and potential of this integrated approach to concurrently detect and quantitate viral RNA and protein biomarkers of immune and tumour cells.
This study represents an important step forward in the research and diagnosis of EBV-associated cancers, and could be readily modified to include other proteins and RNA markers to apply to other malignancies. More importantly, the novel automated ISH-mIF protocol that we detailly described here could also be readily reproduced by most of the diagnostic and research lab to future projects that aim to look at both RNA and protein markers.
背景/目的:爱泼斯坦-巴尔病毒(EBV)是一种肿瘤病毒,通常与淋巴瘤和上皮癌的发生有关。在免疫治疗时代,EBV相关癌症的组织学评估目前是一个多样本、多技术的过程,需要通过原位杂交(ISH)单独耗时检测EBV编码的小RNA,并对癌症相关蛋白标志物进行切片的平行标记。
以EBV相关肿瘤作为可行性的概念验证,在此我们基于最近报道的自动染色方案,开发了一种能够在单个组织切片上同时检测EBV RNA和多种蛋白标志物(如PD-L1、EBV-LMP、CD8、CD4、CD20、CD30和CD15)的方法。
我们成功地将多重免疫荧光(mIF)与ISH结合以检测上述3种参与癌症的蛋白标志物,并将该方案应用于来自被诊断患有EBV相关肺淋巴上皮瘤样癌(LELC)、胃癌和霍奇金淋巴瘤患者的组织样本。借助Vectra 3自动定量病理成像系统,我们展示了这种综合方法在同时检测和定量免疫细胞和肿瘤细胞的病毒RNA和蛋白质生物标志物方面的实用性和潜力。
本研究代表了EBV相关癌症研究和诊断向前迈出的重要一步,并且可以很容易地进行修改以纳入其他蛋白质和RNA标志物,从而应用于其他恶性肿瘤。更重要的是,我们在此详细描述的新型自动ISH-mIF方案也可以被大多数诊断和研究实验室轻松复制,以用于未来旨在研究RNA和蛋白质标志物的项目。