Evidence map›Paper›PMID 35090304›Full record

ArticleIranian biomedical journal2022

Design of a Novel Recombinant Multi-Epitope Vaccine against Triple-Negative Breast Cancer

Hassan Dariushnejad, Vajihe Ghorbanzadeh, Soheila Akbari, Pejman Hashemzadeh

Abstract read
In one paragraph

Article in Iranian biomedical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hassan DariushnejadDepartment of Medical Biotechnology, Faculty of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Vajihe GhorbanzadehRazi Herbal Medicines Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran.
Soheila AkbariDepartment of Obstetrics and Gynecology, Lorestan University of Medical Sciences, Khorramabad, Iran.
Pejman HashemzadehDepartment of Medical Biotechnology, Faculty of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Triple-negative breast cancer (TNBC) is determined by the absence of ERBB2, estrogen and progesterone receptors’ expression. Cancer vaccines, as the novel immunotherapy strategies, have emerged as promising tools for treating the advanced stage of TNBC. The aim of this study was to evaluate Carcinoembryonic antigen (CEA), Metadherin (MTDH), and Mucin 1 (MUC-1) proteins as vaccine candidates against TNBC. Methods: In this research, a novel vaccine was designed against TNBC by using different immunoinformatics and bioinformatics approaches. Effective immunodominant epitopes were chosen from three antigenic proteins, namely CEA, MTDH, and MUC-1. Recombinant TLR4 agonists were utilized as an adjuvant to stimulate immune responses. Following the selection of antigens and adjuvants, appropriate linkers were chosen to generate the final recombinant protein. To achieve an excellent 3D model, the best predicted 3D model was required to be refined and validated. To demonstrate whether the vaccine/TLR4 complex is stable or not, we performed docking analysis and dynamic molecular simulation. Result: Immunoinformatics and bioinformatics evaluations of the designed construct demonstrated that this vaccine candidate could effectively be used as a therapeutic armament against TNBC. Conclusion: Bioinformatics studies revealed that the designed vaccine has an acceptable quality. Investigating the effectiveness of this vaccine can be confirmed by supplementary in vitro and in vivo studies.

Indexed as

Adjuvants, ImmunologicCancer VaccinesEpitopesMembrane ProteinsMolecular Docking SimulationMolecular Dynamics SimulationMucin-1Receptors, Cell SurfaceRNA-Binding ProteinsTriple Negative Breast NeoplasmsVaccine DevelopmentAdjuvants, ImmunologicCancer Vaccinescarcinoembryonic antigen binding protein, humanEpitopesMembrane ProteinsMTDH protein, humanMUC1 protein, humanMucin-1Receptors, Cell SurfaceRNA-Binding ProteinsAdjuvantsTriple-negative breast cancerVaccine

Identifiers

PMID35090304
PMCPMC8987416

What OpenQuestion holds

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Registered trials

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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.