Abstract:
Objective:
To predict and identify survivin specific HLAA2+ CTL restricted epitopes by bioinformatic methods, so as to provide a foundation for survivinbased immunotherapy. Methods: Survivin specific HLAA2+ restricted CTL epotides were predicted by computer supermotif algorithm combined with quantitativemotif algorithm. Candidate epitopes were verified when their scores were higher than 10 and were then artificially synthesized. Affinity of candidate epitope was examined by HLAA2 binding assay combined with flow cytometry using T2 cells (shown as fluorescence index, FI). Stability of candidate epitope was evaluated by HLAA2 dissociation assay combined with flow cytometry (shown as 50% complex dissociation time, DC50). Results: Nine candidate epotides were obtained: 20STFKNWPFL28 (SV2028), 23KNWPFLEGC31 (SV2331), 96LTLGEFLKL104 (SV96104), 6LPPAWQPFL14 (SV614), 33CTPERMAEA41 (SV3341), 46CPTENEPDL54 (SV4654), 130KVRRAIEQL138(SV130138), 37RMAEAGFIH45(SV3745), and 88SVKKQFEEL96 (SV8896). HLAA2 binding assay showed that FI values of SV2028, SV96104, SV130138 and SV2331 epotides were 8.61, 688, 5.89 and 3.81, respectively; those of SV3341, SV614, SV4654, SV3745 and SV8896 epotides were 0.31, -0.29,-04,-0.16 and -0.03, respectively. HLAA2 dissociation assay showed that DC50 values of SV2028, SV96104 and SV130138 epotides were longer than 8 h; that of SV2331 epotide was 46 h; those of SV614, SV3341and SV8896 epotides were all 24 h; those of SV4654, SV3745 epotides were both 02 h. The above results demonstrated that SV2028, SV96104 and SV130138 were high affinity epotides; SV2331 was intermediate affinity epotide; and SV3341, SV614, SV4654, SV3745 and SV8896 were low affinity epotides. Conclusion: Antigen epitope can be quickly and efficiently predicted by supermotif algorithm combined with quantitativemotif algorithm. SV2028, SV96104 and SV130138 epitopes are survivin specific HLAA2+ restricted CTL epotides, which can be used for later research.