Celastrol inhibits the migration and invasion and enhances the anti-cancer effects of docetaxel in human triple-negative breast cancer cells.
Zi LiuMinghui FanXiaojing XuanChenlu XiaGuozheng HuangLiang MaPublished in: Medical oncology (Northwood, London, England) (2022)
The molecular mechanism of anti-metastatic effect of celastrol is not fully understood in breast cancer cells. Herein, we investigated the activity and molecular mechanism of celastrol in triple-negative breast cancer (TNBC) cells, which is a more aggressive subtype of breast cancer. The results of wound healing assay and trans-well assay revealed that celastrol inhibited cell migration and invasion under sub-cytotoxic concentrations in MDA-MB-231 and MDA-MB-468 TNBC cells. Molecular data showed that the effect of celastrol on TNBC cells might be mediated via up-regulation of E-cadherin, a key protein involved in epithelial-mesenchymal transition (EMT). In addition, Hakai, an E3 ligase responsible for E-cadherin complex ubiquitination and degradation, was down-regulated under celastrol treatment. Hakai partially contributed to celastrol-induced anti-invasive effect. In addition, celastrol and docetaxel could synergistically inhibit growth and metastasis of MDA-MB-231 cells. Our results showing anti-migratory/anti-invasive effects of celastrol and associated mechanisms provide new evidence for the development of celastrol as a potential anti-metastatic compound against highly aggressive breast cancer, and celastrol in combination with docetaxel might potentially be used as a novel regimen for the treatment of TNBC.
Keyphrases
- breast cancer cells
- cell cycle arrest
- induced apoptosis
- epithelial mesenchymal transition
- squamous cell carcinoma
- small cell lung cancer
- endoplasmic reticulum stress
- oxidative stress
- endothelial cells
- high throughput
- wound healing
- pi k akt
- stem cells
- cell proliferation
- combination therapy
- small molecule
- risk assessment
- machine learning
- mesenchymal stem cells
- binding protein
- bone marrow
- artificial intelligence
- amino acid
- childhood cancer
- smoking cessation