Identification of B and T cell epitope based peptide vaccine from IGF-1 receptor in breast cancer

被引:14
作者
Mahdavi, Manijeh [1 ]
Moreau, Violaine [2 ]
Kheirollahi, Majid [3 ]
机构
[1] Isfahan Univ Med Sci, Res Inst Primordial Prevent Noncommunicable Dis, Genet & Mol Biol Res Ctr, Esfahan, Iran
[2] Ctr Biochim Struct, CNRS UM INSERM U1054 UMR5048, 29 Rue Navacelles, F-34090 Montpellier, France
[3] Isfahan Univ Med Sci, Res Inst Primordial Prevent Noncommunicable Dis, Pediat Inherited Dis Res Ctr, Dept Genet & Mol Biol,Sch Med, Esfahan, Iran
关键词
Docking; MHC; Bioinformatics; Peptide vaccine; IGF-1; receptor; GROWTH-FACTOR-I; MHC CLASS-I; EXTRACELLULAR DOMAIN; GENETIC ALGORITHM; PREDICTION; RISK; EXPRESSION; BINDING; ECD;
D O I
10.1016/j.jmgm.2017.06.004
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The insulin-like growth factor-1 receptor (IGF-1R) plays a key role in proliferation, growth, differentiation, and development of several human malignancies including breast and pancreatic adenocarcinoma. IGF-1R targeted immunotherapeutic approaches are particularly attractive, as they may potentially elicit even stronger antitumor responses than traditional targeted approaches. Cancer peptide vaccines can produce immunologic responses against cancer cells by triggering helper T cell (Th) or cytotoxic T cells (CTL) in association with Major Histocompatibility Complex (MHC) class I or II molecules on the cell surface of antigen presenting cells. In our previous study, we set a technique based on molecular docking in order to find the best MHC class I and II binder peptides using GOLD. In the present work, molecular docking analyses on a library consisting of 30 peptides mimicking discontinuous epitopes from IGF-1R extracellular domain identified peptides 249 and 86, as the best MHC binder peptides to both MHC class I and II molecules. The receptors most often targeted by peptide 249 are HLA-DR4, HLA-DR3 and HLA-DR2 and those most often targeted by peptide 86 are HLA-DR4, HLA-DP2 and HLA-DR3. These findings, based on bioinformatics analyses, can be conducted in further experimental analyses in cancer therapy and vaccine design. (C) 2017 Elsevier Inc. All rights reserved.
引用
收藏
页码:316 / 321
页数:6
相关论文
共 41 条
  • [1] Bayrami V, 2016, MOL BIOL RES COMMUN, V5, P201
  • [2] Bergmann U., 1995, CANCER RES, V2, P27
  • [3] Plasma insulin-like growth factor I and prostate cancer risk: A prospective study
    Chan, JM
    Stampfer, MJ
    Giovannucci, E
    Gann, PH
    Ma, J
    Wilkinson, P
    Hennekens, CH
    Pollak, M
    [J]. SCIENCE, 1998, 279 (5350) : 563 - 566
  • [4] IGF-1R as an anti-cancer target-trials and tribulations
    Chen, Helen X.
    Sharon, Elad
    [J]. CHINESE JOURNAL OF CANCER, 2013, 32 (05) : 242 - 252
  • [5] The role of the insulin-like growth factor-1 system in breast cancer
    Christopoulos, Panagiotis F.
    Msaouel, Pavlos
    Koutsilieris, Michael
    [J]. MOLECULAR CANCER, 2015, 14
  • [6] Role of IGF1R in breast cancer subtypes, sternness, and lineage differentiation
    Farabaugh, Susan M.
    Boone, David N.
    Lee, Adrian V.
    [J]. FRONTIERS IN ENDOCRINOLOGY, 2015, 6
  • [7] IGF-1R peptide vaccines/mimics inhibit the growth of BxPC3 and JIMT-1 cancer cells and exhibit synergistic antitumor effects with HER-1 and HER-2 peptides
    Foy, Kevin Chu
    Miller, Megan J.
    Overholser, Jay
    Donnelly, Siobhan M.
    Nahta, Rita
    Kaumaya, Pravin T. P.
    [J]. ONCOIMMUNOLOGY, 2014, 3 (11): : e956005 - 1
  • [8] Emerging role of insulin-like growth factor receptor inhibitors in oncology: early clinical trial results and future directions
    Gualberto, A.
    Pollak, M.
    [J]. ONCOGENE, 2009, 28 (34) : 3009 - 3021
  • [9] MHCPred: a server for quantitative prediction of peptide-MHC binding
    Guan, PP
    Doytchinova, IA
    Zygouri, C
    Flower, DR
    [J]. NUCLEIC ACIDS RESEARCH, 2003, 31 (13) : 3621 - 3624
  • [10] SWISS-MODEL and the Swiss-PdbViewer: An environment for comparative protein modeling
    Guex, N
    Peitsch, MC
    [J]. ELECTROPHORESIS, 1997, 18 (15) : 2714 - 2723