Anti-metastatic effect of metformin via repression of interleukin 6-induced epithelial-mesenchymal transition in human colon cancer cells.
Sang-Hee KangBo Ram KimMyoung-Hee KangDae-Young KimDae-Hee LeeSang Cheul OhByung Wook MinJun Won UmPublished in: PloS one (2018)
Metformin, a first-line drug used to treat type 2 diabetes, has also been shown to have anticancer effects against a variety of malignancies, including colorectal cancer. Although inhibition of the mTOR pathway is known to be the most important mechanism for the antitumor effects of metformin, other mechanisms remain unclear. The purpose of this study was to identify the antitumor mechanism of metformin in colorectal cancer using high-throughput data, and then test the mechanism experimentally. We identified the gene signature of metformin-treated colon cancer cells. This signature was processed for prediction using colon adenocarcinoma patient data from the Cancer Genome Atlas to classify the patients showing a gene expression pattern similar to that in metformin-treated cells. This patient group showed better overall and disease-free survival. Furthermore, pathway analysis revealed that the metformin-predicted group was characterized by decreased interleukin (IL)-6 pathway signaling, epithelial-mesenchymal transition, and colon cancer metastatic signaling. We induced epithelial-mesenchymal transition in colon cancer cell lines via IL-6 treatment, which increased cell motility and promoted invasion. However, these effects were blocked by metformin. These findings suggest that blockade of IL-6-induced epithelial-mesenchymal transition is an antitumor mechanism of metformin.
Keyphrases
- epithelial mesenchymal transition
- gene expression
- type diabetes
- squamous cell carcinoma
- transforming growth factor
- signaling pathway
- single cell
- high throughput
- small cell lung cancer
- high glucose
- endothelial cells
- cardiovascular disease
- newly diagnosed
- free survival
- stem cells
- emergency department
- end stage renal disease
- induced apoptosis
- machine learning
- cystic fibrosis
- diabetic rats
- chronic kidney disease
- mesenchymal stem cells
- drug induced
- electronic health record
- radiation therapy
- deep learning
- adipose tissue
- escherichia coli
- young adults
- pseudomonas aeruginosa
- ejection fraction
- skeletal muscle
- metabolic syndrome
- cell proliferation
- smoking cessation
- insulin resistance
- cell cycle arrest
- cell migration
- rectal cancer
- cell therapy
- replacement therapy
- patient reported
- lymph node metastasis