Evidence map›Paper›PMID 41286148›Full record

ArticleScientific reports2025

Targeting SOX9: designing a novel vaccine against triple-negative breast cancer.

Ghazaleh Hatamian, Amirali Ebrahimpour, Mojgan Nejabat, Farzin Hadizadeh

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ghazaleh HatamianDepartment of Microbiology and Microbial Biotechnology, School of Biological Science, Shahid Beheshti University, Tehran, Iran.
Amirali EbrahimpourStudent Research Committee, Varastegan Institute for Medical Sciences, Mashhad, Iran.
Mojgan NejabatDepartment of Medicinal Chemistry, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran. nejabatm2@mums.ac.ir.
Farzin HadizadehBiotechnology Research Center, Pharmaceutical Research Center Institute, Mashhad University of Medical Sciences, Mashhad, Iran. hadizadehf@mums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a highly aggressive breast cancer subtype that lacks targeted therapies. This study aimed to design a novel multi-epitope peptide vaccine targeting SOX9, a transcription factor associated with TNBC progression. Using an immunoinformatic approach, B-cell, helper T lymphocyte (HTL), and cytotoxic T lymphocyte (CTL) epitopes with high antigenicity, non-toxicity, and non-allergenicity were identified. These epitopes were linked with appropriate spacers and fused to the 50 S ribosomal protein L7/L12 adjuvant to construct the vaccine. Physicochemical analysis predicted the construct to be stable, soluble, and suitable for expression. Structural modeling and refinement confirmed its quality, while molecular docking and dynamics simulations demonstrated favorable interactions with TLR2 and TLR4 receptors. Immune simulations predicted the strong cellular and humoral immune responses. These findings suggest that the designed vaccine holds substantial promise as a candidate for TNBC immunotherapy and merits further experimental validation.

Indexed as

Cancer VaccinesSOX9 Transcription FactorTriple Negative Breast NeoplasmsEpitopes, T-LymphocyteFemaleHumansMolecular Docking SimulationMolecular Dynamics SimulationT-Lymphocytes, CytotoxicVaccines, SubunitCancer VaccinesEpitopes, T-LymphocyteSOX9 protein, humanSOX9 Transcription FactorVaccines, SubunitImmunoinformaticMulti-Epitope vaccineSOX9Triple-Negative breast cancer

Identifiers

PMID41286148
PMCPMC12644569

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.