Microarray analysis of breast cancer gene expression profiling in response to 2-deoxyglucose, metformin, and glucose starvation.

Rita AounChristopher El HadiRoula TahtouhRita El HabreGeorge Hilal

Published in: Cancer cell international (2022)

The procedure used to process cancer cells and analyze their expression data distinguishes our study from others. GS had the greatest effect on breast cancer cells compared to 2-DG and MET. Combining MET and GS could restrain both cell lines, making them more vulnerable to conventional chemotherapy.

Keyphrases

gene expression
breast cancer cells
tyrosine kinase
poor prognosis
dna methylation
minimally invasive
single cell
type diabetes
blood glucose
machine learning
long non coding rna
metabolic syndrome
blood pressure
deep learning
bioinformatics analysis