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

  • Autores: Baysal Ö.1, Genç D.2, Silme R.S.3, Kırboğa K.K.4, Çoban D.5, Ghafoor N.A.6, Tekin L.7, Bulut O.8
  • Afiliações:
    1. Department of Molecular Biology and Genetics, Faculty of Science, Molecular Microbiology Unit, Muğla Sıtkı Koçman Üniversitesi
    2. Faculty of Health Sciences,, Muğla Sıtkı Koçman University,
    3. Center for Research and Practice in Biotechnology and Genetic Engineering,, Istanbul University
    4. Department of Bioengineering,, Bilecik Seyh Edebali University
    5. Department of Molecular Biology and Genetics, Faculty of Science, Molecular Microbiology Unit,, Muğla Sıtkı Koçman University,
    6. Department of Molecular Biology and Genetics, Faculty of Science,, Muğla Sıtkı Koçman University
    7. Department of Pathology, Faculty of Medicine,, Muğla Sıtkı Koçman University,
    8. Milas Faculty of Veterinary Medicine,, Muğla Sıtkı Koçman Üniversitesi
  • Edição: Volume 24, Nº 5 (2024)
  • Páginas: 334-347
  • Seção: Oncology
  • URL: https://rjsocmed.com/1871-5206/article/view/644174
  • DOI: https://doi.org/10.2174/0118715206270568231129054853
  • ID: 644174

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Resumo

Background:Breast 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.

Objective:This 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.

Methods:MCF-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.

Results:Treatment 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.

Conclusion:Our 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.

Sobre autores

Ömür Baysal

Department of Molecular Biology and Genetics, Faculty of Science, Molecular Microbiology Unit, Muğla Sıtkı Koçman Üniversitesi

Autor responsável pela correspondência
Email: info@benthamscience.net

Deniz Genç

Faculty of Health Sciences,, Muğla Sıtkı Koçman University,

Email: info@benthamscience.net

Ragıp Silme

Center for Research and Practice in Biotechnology and Genetic Engineering,, Istanbul University

Email: info@benthamscience.net

Kevser Kırboğa

Department of Bioengineering,, Bilecik Seyh Edebali University

Email: info@benthamscience.net

Dilek Çoban

Department of Molecular Biology and Genetics, Faculty of Science, Molecular Microbiology Unit,, Muğla Sıtkı Koçman University,

Email: info@benthamscience.net

Naeem Ghafoor

Department of Molecular Biology and Genetics, Faculty of Science,, Muğla Sıtkı Koçman University

Email: info@benthamscience.net

Leyla Tekin

Department of Pathology, Faculty of Medicine,, Muğla Sıtkı Koçman University,

Email: info@benthamscience.net

Osman Bulut

Milas Faculty of Veterinary Medicine,, Muğla Sıtkı Koçman Üniversitesi

Email: info@benthamscience.net

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