Targeting Breast Cancer with N-Acetyl-D-Glucosamine: Integrating Machine Learning
and Cellular Assays for Promising Results
Ömür Baysal,
Deniz Genç,
Ragıp Soner Silme
et al.
Abstract: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 … Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.