| Title |
Targeting Breast Cancer Stem Cell State Equilibrium through Modulation of Redox Signaling
|
|---|---|
| Published in |
Cell Metabolism (Science Direct), July 2018
|
| DOI | 10.1016/j.cmet.2018.06.006 |
| Pubmed ID | |
| Authors | |
| Abstract |
Although breast cancer stem cells (BCSCs) display plasticity transitioning between quiescent mesenchymal-like (M) and proliferative epithelial-like (E) states, how this plasticity is regulated by metabolic or oxidative stress remains poorly understood. Here, we show that M- and E-BCSCs rely on distinct metabolic pathways and display markedly different sensitivities to inhibitors of glycolysis and redox metabolism. Metabolic or oxidative stress generated by 2DG, H2O2, or hypoxia promotes the transition of ROSlo M-BCSCs to a ROShi E-state. This transition is reversed by N-acetylcysteine and mediated by activation of the AMPK-HIF1α axis. Moreover, E-BCSCs exhibit robust NRF2-mediated antioxidant responses, rendering them vulnerable to ROS-induced differentiation and cytotoxicity following suppression of NRF2 or downstream thioredoxin (TXN) and glutathione (GSH) antioxidant pathways. Co-inhibition of glycolysis and TXN and GSH pathways suppresses tumor growth, tumor-initiating potential, and metastasis by eliminating both M- and E-BCSCs. Exploiting metabolic vulnerabilities of distinct BCSC states provides a novel therapeutic approach targeting this critical tumor cell population. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 27% |
| Germany | 2 | 9% |
| Italy | 1 | 5% |
| India | 1 | 5% |
| United Kingdom | 1 | 5% |
| Brazil | 1 | 5% |
| Indonesia | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 8 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 50% |
| Scientists | 5 | 23% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
| Science communicators (journalists, bloggers, editors) | 3 | 14% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 256 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 19% |
| Researcher | 36 | 14% |
| Student > Bachelor | 24 | 9% |
| Student > Master | 23 | 9% |
| Student > Doctoral Student | 17 | 7% |
| Other | 25 | 10% |
| Unknown | 82 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 82 | 32% |
| Agricultural and Biological Sciences | 23 | 9% |
| Medicine and Dentistry | 16 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 2% |
| Engineering | 5 | 2% |
| Other | 29 | 11% |
| Unknown | 96 | 38% |