Literature DB >> 15326372

Identification of HLA-A2-restricted CTL epitope encoded by the MAGE-n gene of human hepatocellular carcinoma.

Hai-Long Dong1, Zeng-Shan Li, Jing Ye, Ping Qu, Ya-Yu Huang, Wen Wu, Shao-Ying Lu, Guang-Sheng Chen, Yan-Fang Sui.   

Abstract

BACKGROUND: Identification of the cytotoxic T lymphocytes (CTL) restricted epitopes of tumor antigens opens up possibilities of developing a new cancer vaccine. For the MAGE-n has been demonstrated closely associated with hepatocellular carcinoma (HCC) and HLA-A2.1 is found in over 50% of HCC patients in China, we aim at identifying MAGE-n-encoded peptide presented by HLA-A2.1. MATERIALS: A HLA-A2.1-restricted CTL epitope was identified by using an improved "reverse immunology" strategy: (a) computer-based epitope prediction from the amino acid sequence of MAGE-n antigen; (b) peptide-binding assay to determine the affinity of the predicted peptide with HLA-A2.1 molecule; (c) stimulation of primary T-cell response against the predicted peptides in vitro; and (d) testing of the induced CTLs toward HCC cells expressing MAGE-n antigen and HLA-A2.1.
RESULTS: Of the five tested peptides, effectors induced by a peptide of MAGE-n at residue position 159-167(QLVFGIEVV) lysed HCC cells expressing both MAGE-n and HLA-A2.1. Our results indicated that peptide QLVFGIEVV was a new HLA-A2.1-restricted CTL epitope capable of inducing MAGE-n specific CTLs in vitro.
CONCLUSIONS: Identification of the MAGE-n /HLA-A2.1 peptide QLVFGIEVV may facilitate peptide-based specific immunotherapy for HCC. The combination of epitope prediction, epitope reconstruction method and immunological methods can improve the efficiency and accuracy of CTL epitope studies.

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Year:  2004        PMID: 15326372     DOI: 10.4161/cbt.3.9.1081

Source DB:  PubMed          Journal:  Cancer Biol Ther        ISSN: 1538-4047            Impact factor:   4.742


  2 in total

1.  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
Journal:  Oncol Lett       Date:  2010-09-23       Impact factor: 2.967

2.  Cytotoxic T-lymphocyte elicited therapeutic vaccine candidate targeting cancer against MAGE-A11 carcinogenic protein.

Authors:  Neeraj Kumar; Damini Sood; Aditya Gupta; Niraj Kumar Jha; Pallavi Jain; Ramesh Chandra
Journal:  Biosci Rep       Date:  2020-12-23       Impact factor: 3.840

  2 in total

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