Development of a multi-neoepitope vaccine targeting non-small cell lung cancer through reverse vaccinology and

Elahe Asadollahi1, Alireza Zomorodipour2, Zahra-Soheila Soheili2

  • 1Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.

PubMed
Abstract

Insights

This study developed a personalized multi-neoepitope vaccine (MNEV) for lung cancer. The MNEV demonstrated a strong immune response in mice, showing potential for non-small cell lung cancer (NSCLC) immunotherapy.

Area of Science:

  • Immunology
  • Oncology
  • Bioinformatics

Background:

  • Non-small cell lung cancer (NSCLC) is a leading cause of cancer mortality globally.
  • Personalized multi-neoepitope vaccines (MNEVs) represent a promising immunotherapeutic strategy for advanced NSCLC.

Purpose of the Study:

  • To design and evaluate a novel MNEV targeting lung cancer using computational immunology and bioinformatics.
  • To assess the MNEV's immunogenicity and potential efficacy in a preclinical murine model.

Main Methods:

  • Utilized reverse vaccinology, immunoinformatics, and bioinformatics to select neoantigens from NSCLC cell lines.
  • Constructed the MNEV with selected neoantigens, adjuvant (50S L7/L12 ribosomal protein), and signal peptide for enhanced secretion.
  • Assessed MNEV stability, binding affinity, and in vivo immunogenicity in C57BL/6 mice through serological, flow cytometry, and cytokine analysis.

Main Results:

  • In silico analysis predicted the MNEV to be non-toxic, non-allergenic, and stable with high binding affinity to immune receptors.
  • MNEV immunization significantly increased serum IgG levels, B cell (CD19+), helper T cell (CD4+), and cytotoxic T cell (CD8+) proportions.
  • Splenocytes from immunized mice exhibited significantly elevated levels of IFN-γ and granzyme B, indicating a robust cellular immune response.

Conclusions:

  • The developed MNEV effectively induces a strong and comprehensive immune response in a preclinical setting.
  • This study supports the potential of MNEVs as a viable immunotherapy for NSCLC and other malignancies.
  • Computational approaches in immunology and oncology are crucial for advancing cancer vaccine development.