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Data from Autoantibody Signatures Combined with Epstein–Barr Virus Capsid Antigen-IgA as a Biomarker Panel for the Detection of Nasopharyngeal Carcinoma
- Publication Year :
- 2023
- Publisher :
- American Association for Cancer Research (AACR), 2023.
-
Abstract
- Nasopharyngeal carcinoma (NPC) is prevalent in Southern China and Southeast Asia, and autoantibody signatures may improve early detection of NPC. In this study, serum levels of autoantibodies against a panel of six tumor-associated antigens (p53, NY-ESO-1, MMP-7, Hsp70, Prx VI, and Bmi-1) and Epstein–Barr virus capsid antigen-IgA (VCA-IgA) were tested by enzyme-linked immunosorbent assay in a training set (220 NPC patients and 150 controls) and validated in a validation set (90 NPC patients and 68 controls). We used receiver-operating characteristics (ROC) to calculate diagnostic accuracy. ROC curves showed that use of these 6 autoantibody assays provided an area under curve (AUC) of 0.855 [95% confidence interval (CI), 0.818–0.892], 68.2% sensitivity, and 90.0% specificity in the training set and an AUC of 0.873 (95% CI, 0.821–0.925), 62.2% sensitivity, and 91.2% specificity in the validation set. Moreover, the autoantibody panel maintained diagnostic accuracy for VCA-IgA–negative NPC patients [0.854 (0.809–0.899), 67.8%, and 90.0% in the training set; 0.879 (0.815–0.942), 67.4%, and 91.2% in the validation set]. Importantly, combination of the autoantibody panel and VCA-IgA improved diagnostic accuracy for NPC versus controls compared with the autoantibody panel alone [0.911 (0.881–0.940), 81.4%, and 90.0% in the training set; 0.919 (0.878–0.959), 78.9%, and 91.2% in the validation set), as well as for early-stage NPC (0.944 (0.894–0.994), 87.9%, and 94.0% in the training set; 0.922 (0.808–1.000), 80.0%, and 92.6% in the validation set]. These results reveal autoantibody signatures in an optimized panel that could improve the identification of VCA-IgA–negative NPC patients, may aid screening and diagnosis of NPC, especially when combined with VCA-IgA. Cancer Prev Res; 8(8); 729–36. ©2015 AACR.
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........8b9c7c0a8747b2c84cbf4ea6531074af
- Full Text :
- https://doi.org/10.1158/1940-6207.c.6545064.v1