Design of a Multi-Epitope Peptide Vaccine Against Glioblastoma Multiforme Targeting IL13Rα2 and EPHA2: An Immuno-Informatics Approach

(2026) Design of a Multi-Epitope Peptide Vaccine Against Glioblastoma Multiforme Targeting IL13Rα2 and EPHA2: An Immuno-Informatics Approach. Journal of Isfahan Medical School. pp. 1124-1135. ISSN 10277595 (ISSN)

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Abstract

Background: Glioblastoma multiforme (GBM) is the most aggressive primary brain tumor and is highly resistant to conventional therapies. Designing multi-epitope peptide vaccines represents a promising strategy to elicit tumor antigen-specific immune responses. Methods: Using immunoinformatics tools, cytotoxic T lymphocyte (CTL) and B-cell epitopes were identified from the IL13Rα2 and EPHA2 tumor-associated antigens and filtered based on antigenicity, non-allergenicity, and non-toxicity. The final vaccine construct comprised 16 CTL epitopes and 6 B-cell epitopes. Physicochemical properties, structural features, and interactions of the vaccine with Toll-like receptors (TLRs) were evaluated. Findings: The final vaccine consisted of 281 amino acids, with a molecular weight of 31,579.57 Da, pI = 8.98, and an instability index of 26.10, indicating high stability. A GRAVY value of −0.463 and a QuerySol score of 0.539 suggested favorable hydrophilicity and solubility. The refined 3D structure showed 93.6 of residues in favored regions of the Ramachandran plot, and a Z-score of −1.63 confirmed good structural quality. Molecular docking analyses revealed the strongest binding affinity toward TLR3 (ΔG = −11.1 kcal/mol; Kd ≈ 1.6×10⁻⁸ M). Immune simulation demonstrated robust induction of both humoral and cellular immune responses: rapid IgM production after the first immunization followed by isotype switching to IgG1/IgG2 in subsequent doses. In silico immune simulation with C-ImmSim suggested a potential for robust induction of both humoral and cellular immune responses. Conclusion: The designed multi-epitope vaccine exhibits favorable immunogenicity, stability, and strong interaction with TLR3, positioning it as a promising candidate for further preclinical development as a therapeutic vaccine against glioblastoma. © 2026, Isfahan University of Medical Sciences(IUMS). All rights reserved.

Item Type: Article
Keywords: Ephrin Type-A Receptor 2 (EPHA2) Glioblastoma Multiforme Immunoinformatics Interleukin-13 Receptor Subunit Alpha 2 (IL13Rα2) Molecular Docking Simulation Multi-Epitope Vaccine
Page Range: pp. 1124-1135
Journal or Publication Title: Journal of Isfahan Medical School
Journal Index: Scopus
Volume: 44
Number: 868
Identification Number: https://doi.org/10.48305/jims.v44.i868.1124
ISSN: 10277595 (ISSN)
Depositing User: خانم ناهید ضیائی
URI: http://eprints.mui.ac.ir/id/eprint/34852

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