Prediction and analysis of HLA-A2/A24-restricted cytotoxic T-lymphocyte epitopes of the tumor antigen MAGE-n using the artificial neural networks method on NetCTL1.2 Server

  • Authors:
    • Xiu-Min Zhang
    • Yang Huang
    • Zeng-Shan Li
    • Hui Lin
    • Yan-Fang Sui
  • View Affiliations

  • Published online on: September 23, 2010     https://doi.org/10.3892/ol.2010.193
  • Pages: 1097-1100
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Abstract

Cancer immunotherapy has become one of the most important therapeutic approaches to cancer in the past two decades. Tumor antigen-derived peptides have been widely used to elicit tumor-specific cytotoxic T lymphocytes (CTLs). Antigen-specific CTLs induced by MAGE-derived peptides have proven to be highly efficacious in the prevention and treatment of various types of tumor. MAGE-n is a new member of the MAGE gene family and has been shown to be closely associated with hepatocellular carcinoma. It is highly homologous to the MAGE-A gene subfamily, particularly to MAGE-3 (93%). MAGE-n-derived peptide QLVFGIEVV is a novel HLA-A2.1-restricted CTL epitope that induces MAGE-n-specific CTLs in vitro. Identification of these CTL epitopes may lead to clinical applications of these peptides as cancer vaccines for patients with MAGE-n+/HLA-A2+ tumors. In the present study, HLA-A/A24-restricted CTL epitopes of antigen MAGE-n were predicted using the NetCTL1.2 Server on the web, COMB >0.85. The results showed that the NetCTL1.2 Server prediction method improved prediction efficacy and accuracy. Additionally, 8 HLA-A2- and 9 HLA-A24-restricted CTL epitope candidates (nonamers) derived from the tumor antigen MAGE-n were predicted. These nonamers, following identification via experimentation, may contribute to the development of potential antigen peptide tumor vaccines.
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November-December 2010
Volume 1 Issue 6

Print ISSN: 1792-1074
Online ISSN:1792-1082

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Spandidos Publications style
Zhang X, Huang Y, Li Z, Lin H and Sui Y: Prediction and analysis of HLA-A2/A24-restricted cytotoxic T-lymphocyte epitopes of the tumor antigen MAGE-n using the artificial neural networks method on NetCTL1.2 Server. Oncol Lett 1: 1097-1100, 2010.
APA
Zhang, X., Huang, Y., Li, Z., Lin, H., & Sui, Y. (2010). Prediction and analysis of HLA-A2/A24-restricted cytotoxic T-lymphocyte epitopes of the tumor antigen MAGE-n using the artificial neural networks method on NetCTL1.2 Server. Oncology Letters, 1, 1097-1100. https://doi.org/10.3892/ol.2010.193
MLA
Zhang, X., Huang, Y., Li, Z., Lin, H., Sui, Y."Prediction and analysis of HLA-A2/A24-restricted cytotoxic T-lymphocyte epitopes of the tumor antigen MAGE-n using the artificial neural networks method on NetCTL1.2 Server". Oncology Letters 1.6 (2010): 1097-1100.
Chicago
Zhang, X., Huang, Y., Li, Z., Lin, H., Sui, Y."Prediction and analysis of HLA-A2/A24-restricted cytotoxic T-lymphocyte epitopes of the tumor antigen MAGE-n using the artificial neural networks method on NetCTL1.2 Server". Oncology Letters 1, no. 6 (2010): 1097-1100. https://doi.org/10.3892/ol.2010.193