ORIGINAL RESEARCH article

Front. Immunol.

Sec. Vaccines and Molecular Therapeutics

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1521700

This article is part of the Research TopicCommunity Series in Immune Responses Against Tumors - From the Bench to the Bedside: Volume IIView all 5 articles

Development of a Multi-Neoepitope Vaccine Targeting Non-Small Cell Lung Cancer through Reverse Vaccinology and Bioinformatics Approaches

Provisionally accepted
  • 1Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
  • 2Department of Molecular Medicine, Institute of Medical Biotechnology, Institute of Genetic Engineering and Biotechnology, Tehran, Alborz, Iran

The final, formatted version of the article will be published soon.

Lung cancer, predominantly non-small cell lung cancer (NSCLC), is the leading cause of cancer-related mortality worldwide. Among immunotherapeutic strategies, the personalized multi-neoepitope vaccine (MNEV) is a promising approach for managing advanced-stage NSCLC. We used reverse vaccinology, immunoinformatics, and bioinformatics to design an MNEV targeting lung cancer in mouse (LL/2) cells. Whole exome sequencing (WES) and RNA sequencing data human and mouse NSCLC were analyzed to select neoantigens, evaluated for their ability to stimulate B cells, helper T lymphocytes (HTLs), and cytotoxic T lymphocytes (CTLs). Molecular docking studies estimated the binding affinity of mouse neoepitopes with MHC class I, MHC class II, and B-cell receptors. Suitable linkers were selected to construct the MNEV, with the 50S L7/L12 ribosomal protein sequence added as an adjuvant to enhance immune responses. The Igκ chain signal peptide was incorporated to improve secretion efficiency. The stability of the final construction of vaccine/TLR3,4, and 9 complex was confirmed through binding analysis and adjustment of the best-predicted 3D model. To evaluate the immunological efficacy of the MNEV, female C57BL/6 mice were immunized subcutaneously. The assessment involved measuring total IgG levels in serum using enzymelinked immunosorbent assay (ELISA) and quantifying IFN-γ and granzyme B levels in the supernatant of cultured splenocytes. The proportions of CD19+ B cells and CD4+ and CD8+ T cells were assessed using flow cytometric analysis. In silico evaluations indicated that the MNEV is non-toxic, non-allergenic, and stable, exhibiting high-affinity interactions with B lymphocytes, CTLs, and HTLs. Immunization with the designed MNEV led to a significant increase in serum IgG levels. Flow cytometry analysis revealed elevated percentages of CD19+ B cells and CD4+ and CD8+ T cells. Furthermore, splenocytes from immunized mice showed a marked increase in IFN-γ and granzyme B secretion compared to control groups. This study demonstrates that the multi-neoepitope vaccine (MNEV) can induce a strong immune response, highlighting its potential as a promising approach for cancer prevention and immunotherapy, particularly for lung cancer. Furthermore, it provides a foundation for developing neoepitopebased vaccines against various malignancies, guiding future research in cancer vaccine development through advanced computational methods in immunology and oncology.

Keywords: NSCLC, Immunotherapy, Targeted treatments, Tumor-specific antigens, neoantigens, reverse vaccinology, multi-neoepitope vaccine, cancer vaccine

Received: 02 Nov 2024; Accepted: 07 Apr 2025.

Copyright: © 2025 Asadollahi, Zomorodipour, Soheili, Jahangiri and Sadeghizadeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Alireza Zomorodipour, Department of Molecular Medicine, Institute of Medical Biotechnology, Institute of Genetic Engineering and Biotechnology, Tehran, Alborz, Iran
Majid Sadeghizadeh, Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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