IgA antibodies against the Epstein-Barr nuclear antigen1 as a valuable biomarker for the diagnosis of nasopharyngeal carcinoma in Tunisian patients.

JOURNAL OF MEDICAL VIROLOGY(2009)

引用 12|浏览3
暂无评分
摘要
Serological tests for Epstein-Barr virus (EBV) have been used for many years as diagnostic predictors of nasopharyngeal carcinoma. It has been shown previously that the conventional immunofluorescence assay has a limited diagnostic value, especially in young patients from North African area. In the search for more reliable immunoglobulin (Ig) G or IgA antibody markers for the diagnosis of nasopharyngeal carcinoma, immunoblot analysis was performed using a full spectrum of EBV proteins. Sera were collected from 108 patients with nasopharyngeal carcinoma and three control groups composed of 18 patients with lymphoma, 18 other patients with autoimmune diseases and 55 healthy EBV carriers. It was observed that the IgA Epstein-Barr nuclear antigen 1 (EBNA1), IgA early antigen (EA)-p138 and IgG EA-p138 antibodies represent the most specific anti-EBV responses in either young or older patients with nasopharyngeal carcinoma which yield higher positive rates compared to the three control groups. Since the IgA EBNA1 response showed the highest sensitivity value for the detection of nasopharyngeal carcinoma, a novel enzyme-linked immunosorbent assay (ELISA) was established using a GST-EBNA1 protein expressed in bacteria, containing the P-threonine EBNA1 subtype cloned from DNA EBV sequence of C15 xenograft cells. Detection rates were 85.7% and 94.9% in young and older patients with nasopharyngeal carcinoma respectively, while only 3.6%, 11.1%, and 16.6% in healthy EBV carriers, patients with lymphoma and patients with autoimmune diseases, respectively. Thus, IgA EBNA1 ELISA may be useful for early diagnosis and mass screening of nasopharyngeal carcinoma in Tunisia even in young patients. J. Med. Virol. 81:1412-1421, 2009. (C) 2009 Wiley-Liss, Inc.
更多
查看译文
关键词
nasopharyngeal carcinoma,diagnosis,EBV,EBNA1,antibodies
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要