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Updated: Feb 5, 2026

Isolation and Quantification of Epstein-Barr Virus from the P3HR1 Cell Line
Published on: September 28, 2022
An integrated automated multispectral imaging technique that simultaneously detects and quantitates viral RNA and
Yu Ting Felicia Wee1, Syed Muhammad Fahmy Alkaff2, Jeffrey Chun Tatt Lim2
1Department 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.
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.
Methods:
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.
Results:
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.
Conclusion:
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.
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