Faculty, Staff and Student Publications
Publication Date
10-1-2022
Journal
Journal of Cellular and Molecular Medicine
Abstract
Epstein-Barr virus (EBV) infection is proved to be associated with clinicopathology of lymphoma. However, little is known about the relationship between EBV-DNA status after treatment and prognosis. In this study, real-time polymerase chain reaction (PCR) was used for quantitative detection of EBV-DNA load in peripheral blood of all 26,527 patients with lymphoma, and the clinical characteristics and prognosis of 202 patients were retrospectively analysed, including 100 patients with positive EBV-DNA and 102 randomly selected patients with negative EBV-DNA. We found that the average rate of EBV-DNA positivity in lymphomas was 0.376%, and EBV-DNA-positive patients presented higher risk with elevated lactate dehydrogenase (LDH) and β2-MG level, B symptoms, secondary hemophagocytic syndrome and lower objective response rate compared to EBV-DNA-negative patients. Multivariate analysis revealed EBV-DNA-positive patients had inferior progression-free survival (PFS) and overall survival (OS) and EBV-DNA level before treatment was related to PFS but not OS of T/NK cell lymphoma. In T/NK cell lymphoma, EBV-DNA converting negative after treatment was correlated with better PFS but not OS, and second-line therapy could induce more EBV-DNA-negative conversion compared to CHOP-based therapy. In all, EBV-DNA positivity before treatment can be a biomarker representing the tumour burden and an independent prognostic factor. EBV-DNA-negative conversion after treatment is a good prognostic factor for T/NK cell lymphomas.
Keywords
Biomarkers, DNA, Viral, Epstein-Barr Virus Infections, Herpesvirus 4, Human, Humans, Lactate Dehydrogenases, Lymphoma, Extranodal NK-T-Cell, Retrospective Studies, EBV-DNA, hemophagocytic syndrome, lymphoma, prognosis
DOI
10.1111/jcmm.17543
PMID
36065965
PMCID
PMC9575058
PubMedCentral® Posted Date
9-6-2022
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons