Comparison of Epstein-Barr Virus Serological Tools for the Screening and Risk Assessment of Nasopharyngeal Carcinoma: a Large Population-based Study

PATHOLOGY & ONCOLOGY RESEARCH(2020)

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摘要
Epstein-Barr virus (EBV)-based serologic antibody testing has been found to be a feasible alternative for nasopharyngeal carcinoma (NPC) screening in endemic areas. The purpose of this study was to evaluate the performance of ELISA based on VCA IgA antibody, EA-IgA and Rta-IgG antibody specific to EBV in the diagnosis of NPC. A total of 2155 untreated NPC patients and 6957 healthy volunteers without nasopharyngeal disorder were recruited, and all subjects received EBV VCA-IgA, EA-IgA and Rta-IgG antibody tests simultaneously. The diagnostic efficiency of three testing alone or in combination for the diagnosis of NPC was evaluated. The prevalence of IgA antibody against EBV-VCA, IgA antibody against EBV-EA and IgG antibody against EBV-Rta was 89.9%, 46.6% and 63.2%. The sensitivity, specificity, positive predictive value, negative predictive value and Youden index were 89.88%, 89.65%, 73.18%, 96.63% and 0.79 for the EBV VCA-IgA antibody test, 46.59%, 96.89%, 82.5%, 85.42% and 0.43 for the EA-IgA antibody test, and 63.25%, 94.87%, 79.48%, 89.29% and 0.58 for the Rta-IgG antibody test in the diagnosis of NPC, and ROC curve analysis revealed the greatest diagnostic efficiency for EBV VCA-IgA antibody test and the lowest efficiency for EBV EA-IgA antibody test in the diagnosis of NPC. In addition, the simultaneous triple positivity of VCA-IgA, EA-IgA and Rta-IgG antibodies specific to EBV indicated the highest risk of NPC, and the simultaneous triple negativity of the three types of anti-EBV antibodies suggested the lowest risk of NPC. Our data demonstrate that EBV VCA-IgA antibody test shows a higher diagnostic efficiency than EA-IgA and Rta-IgG antibody tests for the screening of NPC, and triple positivity of is a better biomarker for the diagnosis of NPC.
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关键词
Nasopharyngeal carcinoma,Epstein-Barr virus,VCA-IgA,EA-IgA,Rta-IgG,Serological screening,Diagnostic efficiency,ROC curve analysis
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