Recommendations for Epstein-Barr virus–based screening for nasopharyngeal cancer in high- and intermediate-risk regions
Lam, W. K.Jacky, King, Ann D., Miller, Jacob A., Liu, Zhiwei, Yu, Kelly J., Chua, Melvin L.K., Ma, Brigette B.Y., Chen, Ming Yuan, Pinsky, Benjamin A., Lou, Pei Jen, Woo, John K.S., Hsu, Wan-Lun, Simon, Julia, Doolan, Denise L., Waterboer, Tim, Hui, Edwin P., Li, Hui, Tsang, Raymond K., Wong, Kenneth C.W., Goh, Julian P., Vlantis, Alexander C., Ai, Qi Yong, Wong, Lun M., Abdullah, Victor, Lin, Jin Ching, Chen, Chien Jen, Pfeiffer, Ruth M., Le, Quynh Thu, Lee, Anne W.M., Ji, Mingfang, Cao, Sumei, Ma, Jun, Chan, Anthony T.C., Chan, K. C.Allen, and Hildesheim, Allan (2023) Recommendations for Epstein-Barr virus–based screening for nasopharyngeal cancer in high- and intermediate-risk regions. Journal of the National Cancer Institute, 115 (4). pp. 355-364.
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Abstract
A meeting of experts was held in November 2021 to review and discuss available data on performance of Epstein-Barr virus (EBV)–based approaches to screen for early stage nasopharyngeal carcinoma (NPC) and methods for the investigation and management of screen-positive individuals. Serum EBV antibody and plasma EBV DNA testing methods were considered. Both approaches were found to have favorable performance characteristics and to be cost-effective in high-risk populations. In addition to endoscopy, use of magnetic resonance imaging (MRI) to investigate screen-positive individuals was found to increase the sensitivity of NPC detection with minimal impact on cost-effectiveness of the screening program.
| Item ID: | 78324 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 1460-2105 |
| Copyright Information: | © The Author(s) 2023. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Date Deposited: | 02 Jan 2024 05:02 |
| FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3211 Oncology and carcinogenesis > 321109 Predictive and prognostic markers @ 100% |
| SEO Codes: | 20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 100% |
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