Evidence map›Paper›PMID 38305389›Full record

ArticleAnti-cancer agents in medicinal chemistry2024

Targeting Breast Cancer with N-Acetyl-D-Glucosamine: Integrating Machine Learning and Cellular Assays for Promising Results.

Ömür Baysal, Deniz Genç, Ragıp Soner Silme, Kevser Kübra Kırboğa, Dilek Çoban, Naeem Abdul Ghafoor, Leyla Tekin, Osman Bulut

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In one paragraph

Article in Anti-cancer agents in medicinal chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. A NovelPharmaceuticals (Basel, Switzerland) · 2025
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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

8 authors at 3 institutions in 1 country.

Ömür BaysalDepartment of Molecular Biology and Genetics, Faculty of Science, Molecular Microbiology Unit, Muğla Sıtkı Koçman University, Kötekli-Muğla, Türkiye.ORCID 0000-0001-5104-0983
Deniz GençFaculty of Health Sciences, Muğla Sıtkı Koçman University, Kötekli-Muğla, Türkiye.
Ragıp Soner SilmeCenter for Research and Practice in Biotechnology and Genetic Engineering, Istanbul University, Istanbul, Türkiye.ORCID 0000-0001-6547-3747
Kevser Kübra KırboğaDepartment of Bioengineering, Bilecik Seyh Edebali University, 11230, Bilecik, Türkiye.ORCID 0000-0002-2917-8860
Dilek ÇobanDepartment of Molecular Biology and Genetics, Faculty of Science, Molecular Microbiology Unit, Muğla Sıtkı Koçman University, Kötekli-Muğla, Türkiye.
Naeem Abdul GhafoorDepartment of Molecular Biology and Genetics, Faculty of Science, Muğla Sıtkı Koçman University, Kötekli-Muğla, Türkiye.
Leyla TekinDepartment of Pathology, Faculty of Medicine, Muğla Sıtkı Koçman University, Kötekli-Muğla, Türkiye.
Osman BulutMilas Faculty of Veterinary Medicine, Muğla Sıtkı Koçman University, Milas, Muğla, Türkiye.
Muğla University · TRBilecik Şeyh Edebali Üniversitesi · TRIstanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is a common cancer with high mortality rates. Early diagnosis is crucial for reducing the prognosis and mortality rates. Therefore, the development of alternative treatment options is necessary.

objectiveThis study aimed to investigate the inhibitory effect of N-acetyl-D-glucosamine (D-GlcNAc) on breast cancer using a machine learning method. The findings were further confirmed through assays on breast cancer cell lines.

methodsMCF-7 and 4T1 cell lines (ATCC) were cultured in the presence and absence of varying concentrations of D-GlcNAc (0.5 mM, 1 mM, 2 mM, and 4 mM) for 72 hours. A xenograft mouse model for breast cancer was established by injecting 4T1 cells into mammary glands. D-GlcNAc (2 mM) was administered intraperitoneally to mice daily for 28 days, and histopathological effects were evaluated at pre-tumoral and post-tumoral stages.

resultsTreatment with 2 mM and 4 mM D-GlcNAc significantly decreased cell proliferation rates in MCF-7 and 4T1 cell lines and increased Fas expression. The number of apoptotic cells was significantly higher than untreated cell cultures (p < 0.01 - p < 0.0001). D-GlcNAc administration also considerably reduced tumour size, mitosis, and angiogenesis in the post-treatment group compared to the control breast cancer group (p < 0.01 - p < 0.0001). Additionally, molecular docking/dynamic analysis revealed a high binding affinity of D-GlcNAc to the marker protein HER2, which is involved in tumour progression and cell signalling.

conclusionOur study demonstrated the positive effect of D-GlcNAc administration on breast cancer cells, leading to increased apoptosis and Fas expression in the malignant phenotype. The binding affinity of D-GlcNAc to HER2 suggests a potential mechanism of action. These findings contribute to understanding D-GlcNAc as a potential anti-tumour agent for breast cancer treatment.

Indexed as

Breast NeoplasmsGlucosamineAcetylglucosamineAnimalsDisease Models, AnimalFemaleHumansMiceMolecular Docking SimulationAcetylglucosamineGlucosamineAnti-tumour agentapoptosisbreast cancerfas expressionmolecular dockingN-acetyl-D-glucosamine.

Identifiers

PMID38305389
OpenAlexW4391487663

What Socratic 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 Socratic graph.