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

Ömür BaysalDeniz GençRagıp Soner SilmeKevser Kübra KırboğaDilek ÇobanNaeem Abdul GhafoorLeyla TekinOsman Bulut
Published in: Anti-cancer agents in medicinal chemistry (2024)
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.
Keyphrases
  • big data
  • machine learning
  • breast cancer cells
  • poor prognosis
  • oxidative stress
  • high throughput
  • deep learning
  • cell cycle arrest
  • cancer therapy
  • mass spectrometry
  • cell proliferation
  • dna binding
  • transcription factor