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

Biosci Rep. 2020 Dec 23;40(12):BSR20202349. doi: 10.1042/BSR20202349.

Abstract

Immunotherapy is a breakthrough approach for cancer treatment and prevention. By exploiting the fact that cancer cells have overexpression of tumor antigens responsible for its growth and progression, which can be identified and removed by boosting the immune system. In silico techniques have provided efficient ways for developing preventive measures to ward off cancer. Herein, we have designed a potent cytotoxic T-lymphocyte epitope to elicit a desirable immune response against carcinogenic melanoma-associated antigen-A11. Potent epitope was predicted using reliable algorithms and characterized by advanced computational avenue CABS molecular dynamics simulation, for full flexible binding with HLA-A*0201 and androgen receptor to large-scale rearrangements of the complex system. Results showed the potent immunogenic construct (KIIDLVHLL), from top epitopes using five algorithms. Molecular docking analyses showed the strong binding of epitope with HLA-A*0201 and androgen receptor with docking score of -780.6 and -641.06 kcal/mol, respectively. Molecular dynamics simulation analysis revealed strong binding of lead epitope with androgen receptor by involvement of 127 elements through atomic-model study. Full flexibility study showed stable binding of epitope with an average root mean square deviation (RMSD) 2.21 Å and maximum RMSD value of 6.48 Å in optimal cluster density area. The epitope also showed remarkable results with radius of gyration 23.0777 Å, world population coverage of 39.08% by immune epitope database, and transporter associated with antigen processing (TAP) affinity IC50 value of 2039.65 nm. Moreover, in silico cloning approach confirmed the expression and translation capacity of the construct within a suitable expression vector. The present study paves way for a potential immunogenic construct for prevention of cancer.

Keywords: Cytotoxic T-cell epitope; Full Flexibility Dynamics; Immunoinformatics; Molecular Docking Simulation; Peptide Rearrangements.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Antigens, Neoplasm / genetics
  • Antigens, Neoplasm / immunology
  • Antigens, Neoplasm / metabolism
  • Antigens, Neoplasm / therapeutic use*
  • Cancer Vaccines / genetics
  • Cancer Vaccines / immunology
  • Cancer Vaccines / metabolism
  • Cancer Vaccines / therapeutic use*
  • Cytotoxicity, Immunologic*
  • Drug Design*
  • Epitopes, T-Lymphocyte*
  • HLA-A2 Antigen / immunology
  • HLA-A2 Antigen / metabolism
  • Humans
  • Immunogenicity, Vaccine
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Neoplasm Proteins / genetics
  • Neoplasm Proteins / immunology
  • Neoplasm Proteins / metabolism
  • Neoplasm Proteins / therapeutic use*
  • Neoplasms / immunology
  • Neoplasms / metabolism
  • Neoplasms / pathology
  • Neoplasms / therapy*
  • Protein Binding
  • Receptors, Androgen / immunology
  • Receptors, Androgen / metabolism
  • T-Lymphocytes, Cytotoxic / immunology*
  • T-Lymphocytes, Cytotoxic / metabolism
  • Vaccines, Subunit / genetics
  • Vaccines, Subunit / immunology
  • Vaccines, Subunit / metabolism
  • Vaccines, Subunit / therapeutic use

Substances

  • AR protein, human
  • Antigens, Neoplasm
  • Cancer Vaccines
  • Epitopes, T-Lymphocyte
  • HLA-A*02:01 antigen
  • HLA-A2 Antigen
  • MAGEA11 protein, human
  • Neoplasm Proteins
  • Receptors, Androgen
  • Vaccines, Subunit