ArticleViruses2022
The Dynamic Change in Plasma Epstein-Barr Virus DNA Load over a Long-Term Follow-Up Period Predicts Prognosis in Nasopharyngeal Carcinoma.
Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Clinicopathological features and therapeutic advances in primary pulmonary lymphoepithelioma-like carcinoma (Review).Oncology letters · 2026Review
- The evolution of EBV DNA as a biomarker in nasopharyngeal carcinoma immunotherapy: a bibliometric and knowledge mapping analysis.Virology journal · 2026Article
- A time-adapted risk stratification framework guided by longitudinal post-radiotherapy EBV DNA clearance for high-risk nasopharyngeal carcinoma patients.Radiation oncology (London, England) · 2026Article
- MB based RT-qPCR increase the clinical application of cfEBV DNA for NPC in non-endemic area of China.Scientific reports · 2025Article
- Prognostic nutritional index and serum lactate dehydrogenase predict the prognosis of nasopharyngeal carcinoma patients who received intensity-modulated radiation therapy.Journal of cancer research and clinical oncology · 2023Article
- Review
- Epidemiological, Clinicopathological and Prognosis Features of Moroccan Patients with Nasopharyngeal Carcinoma.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Development of Prognostic Nomogram Based on Lipid Metabolic Markers and Lactate Dehydrogenase in Non-Metastatic Nasopharyngeal Carcinoma.Journal of inflammation research · 2023Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current study was designed to investigate the changes in the circulating Epstein−Barr virus DNA load (EBV DNA) at various time points before and after treatment and its clinical significance in nasopharyngeal carcinoma (NPC). A total of 142 patients with NPC were prospectively enrolled in this study. The plasma EBV DNA concentration was measured before and after treatment using qPCR. The prognostic values of the EBV DNA load were analyzed using the Kaplan−Meier and Cox regression tests. Following multivariate analysis, our data showed that high pre-EBV DNA loads were associated with significantly poorer distant metastasis free survival (DMFS) and progression free survival (PFS); detectable end-EBV DNA loads were associated with significantly worse loco-regional recurrence free survival (LRRFS) and PFS, and the detecTable 6 months-post-EBV DNA loads were associated with significantly poorer overall survival (OS), DMFS and PFS (p < 0.05). Additionally, combining the pre-EBV DNA load and the stage of the disease, our results showed that patients at stage III-IVA with a low pre-EBV DNA load had similar survival rates as patients at stage II with a low or high pre-EBV DNA load, but had better survival rates than those at stage III-IVA with a high pre-EBV DNA load. Taken together, we showed that the change of the EBV DNA load measured at several time points was more valuable than at any single time point for predicting patients’ survival for NPC. Furthermore, combining the pre-EBV DNA load and the TNM classification could help to formulate an improved prognostic model for this cancer.
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