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The Epstein-Barr virus nuclear antigen 1 variant associated with nasopharyngeal carcinoma defines the sequence criteria for serologic risk prediction.
- Source :
-
Clinical cancer research : an official journal of the American Association for Cancer Research [Clin Cancer Res] 2024 Sep 12. Date of Electronic Publication: 2024 Sep 12. - Publication Year :
- 2024
- Publisher :
- Ahead of Print
-
Abstract
- Purpose: Antibodies to select Epstein-Barr virus (EBV) proteins can diagnose early-stage nasopharyngeal carcinoma (NPC). We have previously shown that IgA against EBV nuclear antigen 1 (EBNA1) can predict incident NPC in high- and intermediate-risk cohorts 4 years pre-diagnosis. Here, we tested EBNA1 variants, with mutants, to define the sequence requirements for an NPC risk assay.<br />Design: Mammalian-expressed constructs were developed to represent EBNA1 variants 487V and 487A which can differ by ≥15 amino acids in the N- and C-termini. Denatured lysates were evaluated by a refined IgA and IgG immunoblot assay in a case-control study using pre-diagnostic NPC sera from two independent cohorts in Singapore and Shanghai, P.R. China.<br />Results: At 95% sensitivity, 487V yielded a 94.9% specificity compared to 86.1% for 487A. EBNA1 deleted for the conserved glycine-alanine repeats (GAr) reduced false positives by 22.8%. NPC sera reacted more strongly to the C-terminus than healthy controls, but the C-terminal construct (a.a. 390-641) showed lower specificity (84.8%) than the EBNA1 GAr deleted construct (92.4%) at 95% sensitivity.<br />Conclusion: Although EBNA1 IgA was present in healthy sera, most epitopes localized to the immunodominant GAr. We conclude that a refined EBNA1 antigen deleted for the GAr but with residues consistently detected in Southeast Asian NPC tumors is optimal for risk prediction with an extended sojourn time of 7.5 years. Furthermore, distinct EBNA1 serologic profiles enhanced the utility of the EBNA1 IgA assay for risk stratification. This illustrates the importance of serologically relevant EBNA1 sequences for NPC risk prediction and early detection.
Details
- Language :
- English
- ISSN :
- 1557-3265
- Database :
- MEDLINE
- Journal :
- Clinical cancer research : an official journal of the American Association for Cancer Research
- Publication Type :
- Academic Journal
- Accession number :
- 39264275
- Full Text :
- https://doi.org/10.1158/1078-0432.CCR-24-1142