Evidence map›Paper›PMID 39995644›Full record

ArticleReports of biochemistry & molecular biology2024

Impact of

Seyedeh Shadi Vaziri, Elahe Tajbakhsh, Faham Khamesipour, Hassan Momtaz, Zohre Mazaheri

Abstract read
In one paragraph

Article in Reports of biochemistry & molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Influence ofIranian journal of microbiology · 2025
    Article
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

5 authors.

Seyedeh Shadi VaziriDepartment of Microbiology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Elahe TajbakhshDepartment of Microbiology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Faham KhamesipourResearch Center for Hydatid Disease in Iran, Kerman University of Medical Sciences, Kerman, Iran.
Hassan MomtazDepartment of Microbiology, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
Zohre MazaheriAssistant professor of anatomical sciences, Basic medical science research center, Histogenotechcompany, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer remains a significant global health concern, with challenges in treating advanced stages necessitating the exploration of novel therapeutic approaches. Bacterial outer membrane vesicles (OMVs) have shown promise in cancer immunotherapy by targeting cancer cells and modulating immune responses. This study investigated the effects of Helicobacter pylori-derived OMVs on the activation of the Snail/β-Catenin gene cascade in regulating inflammation and cell migration in a mouse model of breast cancer. Methods: The OMVs were extracted from the culture of Results: The OMV treatment led to a significant increase in the expression of α-SMA, β-catenin, Snail, and vimentin genes, indicating a potential induction of epithelial-mesenchymal transition and enhanced cancer cell growth. Additionally, a decrease in vimentin expression and an increase in E-cadherin expression were observed, suggesting inhibition of cell migration. The study also revealed alterations in systemic IgA and IgG antibody levels, indicating potential immunomodulatory effects of OMVs. Conclusions: These findings highlight the therapeutic potential of OMVs derived from

Indexed as

Breast cancerHelicobacter pyloriInflammationMembrane vesiclesNeoplasm Metastasis

Identifiers

PMID39995644
PMCPMC11847590

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.