ArticleBMC cancer2025
Design, synthesis, and evaluation of A therapeutic vaccine candidate against lung cancer based on multi-epitopes of MAGE-A3, TGF-β2, and VEGF-A.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe vaccine-mediated therapy is one interesting option to treat lung cancer. This research introduces a novel therapeutic vaccine based on nanoliposomes containing multi-epitopes of MAGE-A3, TGF-β2, and VEGF-A to enhance immune responses against lung cancer cells. MATERIALS AND
methodsA bioinformatics approach was used to select antigens and to design a peptide-based vaccine. Nanoliposomes containing the multi-epitope peptide were synthesized and characterized. In the next step, Balb/c mice were randomly distributed into 2 groups receiving the peptide vaccine with doses of 10 and 100 mg/ml. In week 4, we assessed the antibody titers and cytokine secretion. The vaccine’s effects on A549 lung cancer cells were evaluated using MTT and Annexin V/PI assays, while Real-time PCR measured the expression of the apoptosis-related genes, Bax and Bcl2. Additionally, the vaccine’s efficacy was tested in a Humanized PDX model.
resultsBased on several bioinformatics analyses, such as Gene analysis by UALCAN, the protein-protein interactions by Zs Revelen, and the tumor purity by TIMER, we found that MAGE-A3, TGF-β2, and VEGF-A were good targets for vaccine design. The synthesized nanoliposomes exhibited a size range of 65–190 nm (mean size 110 nm) and a zeta potential of + 30 mV, with approximately 98% peptide loading. It was demonstrated the IgG antibodies against the merged peptide in both doses, even up to 10,000 times serum dilution. Also, the increased level of cytokines including, interleukin 4, interleukin 6, interleukin 10, tumor necrosis factor, and interferon-gamma has been shown in vaccinated mice. Our results showed that A549 cell viability decreased and apoptotic cells increased at both doses and exposure times. The real-time PCR analysis indicated a decrease in Bcl2 gene expression and an increase of Bax gene expression in lung cancer cells treated with serum of vaccinated mice. Importantly, the cancer volume significantly decreased in the immunized PDX models, from approximately 500 mm3 to 50 mm3 after 5 weeks.
conclusionsThis study suggests that nanoliposomal vaccines containing multi-epitope peptides may represent a promising therapeutic approach for lung cancer, eliciting robust immune and anti-tumor responses.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.