In silico design of a novel therapeutic multi-epitope vaccine against NSCLC: a reverse vaccinology approach

Non-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related deaths worldwide, highlighting the need for effective immunotherapeutic strategies. This study focuses on the in silico design and evaluation of a multi-peptide vaccine targeting five key TAAs frequently overexpressed in NSCLC (MAGE-A4, NY-ESO-1, MUC1, SURVIVIN, and HER2) and on assessing the effect of incorporating calreticulin as an immunostimulatory adjuvant. Using immunoinformatics approaches, three distinct vaccine constructs were designed: one incorporating calreticulin adjuvant, another without the adjuvant, and a third consisting of the whole sequences of the TAAs. Epitope prediction was performed using NetMHCpan 4.1 and NetMHCIIpan 4.1, followed by screening for antigenicity, allergenicity, immunogenicity, and toxicity. The predicted novel epitopes were assembled into multi-peptide constructs using appropriate linkers, which were then analyzed for physicochemical characteristics and structural interactions with TLRs and HLA alleles. Molecular docking and dynamics simulations demonstrated a strong interaction between the calreticulin-containing construct and TLR4. Immune simulations using the C-ImmSim platform predicted strong activation of both B and T cell responses. While the in silico results are promising, further in vitro and in vivo studies are required to comprehensively evaluate the vaccine’s safety and therapeutic efficacy.

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Publication Details

Journal
Scientific Reports
Published
2026-08-13
DOI
https://doi.org/10.1038/s41598-026-61905-9
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

In silico design of a novel therapeutic multi-epitope vaccine against NSCLC: a reverse vaccinology approach

Behnam Hasannejad-Asl, Giti Esmail Nia, Azam Bolhassani, Azizeh ShadiDizaji et al.
Scientific Reports
vaccines and immunoinformatics approaches
article

In silico design of a novel therapeutic multi-epitope vaccine against NSCLC: a reverse vaccinology approach

Behnam Hasannejad-Asl, Giti Esmail Nia, Azam Bolhassani, Azizeh ShadiDizaji, Ralph Meuwissen, Seyedehnava Ahrar, Saba Hallaj Ebrahimi
article en

Abstract

Non-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related deaths worldwide, highlighting the need for effective immunotherapeutic strategies. This study focuses on the in silico design and evaluation of a multi-peptide vaccine targeting five key TAAs frequently overexpressed in NSCLC (MAGE-A4, NY-ESO-1, MUC1, SURVIVIN, and HER2) and on assessing the effect of incorporating calreticulin as an immunostimulatory adjuvant. Using immunoinformatics approaches, three distinct vaccine constructs were designed: one incorporating calreticulin adjuvant, another without the adjuvant, and a third consisting of the whole sequences of the TAAs. Epitope prediction was performed using NetMHCpan 4.1 and NetMHCIIpan 4.1, followed by screening for antigenicity, allergenicity, immunogenicity, and toxicity. The predicted novel epitopes were assembled into multi-peptide constructs using appropriate linkers, which were then analyzed for physicochemical characteristics and structural interactions with TLRs and HLA alleles. Molecular docking and dynamics simulations demonstrated a strong interaction between the calreticulin-containing construct and TLR4. Immune simulations using the C-ImmSim platform predicted strong activation of both B and T cell responses. While the in silico results are promising, further in vitro and in vivo studies are required to comprehensively evaluate the vaccine’s safety and therapeutic efficacy.

Scientific Reports
Pasteur Institute of Iran (IR), Iran University of Medical Sciences (IR), Ege University (TR), Hemophilia Center of Iran (IR), Shahid Beheshti University of Medical Sciences (IR), Atatürk University (TR)
Ege Üniversitesi
Zero hunger
Openalex Percentile: Top 16%
vaccines and immunoinformatics approaches
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