Title |
Ivermectin Induces Cytostatic Autophagy by Blocking the PAK1/Akt Axis in Breast Cancer
|
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Published in |
Cancer Research, July 2016
|
DOI | 10.1158/0008-5472.can-15-2887 |
Pubmed ID | |
Authors |
Qianhui Dou, Hai-Ning Chen, Kui Wang, Kefei Yuan, Yunlong Lei, Kai Li, Jiang Lan, Yan Chen, Zhao Huang, Na Xie, Lu Zhang, Rong Xiang, Edouard C. Nice, Yuquan Wei, Canhua Huang |
Abstract |
Breast cancer is the most common cancer among women worldwide yet successful treatment remains a clinical challenge. Ivermectin, a broad-spectrum antiparasitic drug, has recently been characterized as a potential anticancer agent due to observed anti-tumor effects. However, the molecular mechanisms involved remain poorly understood. Here, we report a role for ivermectin in breast cancer suppression by activating cytostatic autophagy both in vitro and in vivo. Mechanistically, ivermectin-induced autophagy in breast cancer cells is associated with decreased P21-activated kinase 1 (PAK1) expression via the ubiquitination-mediated degradation pathway. The inhibition of PAK1 decreases the phosphorylation level of Akt, resulting in the blockade of the Akt/mTOR signaling pathway. In breast cancer xenografts, the ivermectin-induced cytostatic autophagy leads to suppression of tumor growth. Together, our results provide a molecular basis for the use of ivermectin to inhibit the proliferation of breast cancer cells, and indicate that ivermectin is a potential option for the treatment of breast cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 205 | 15% |
United Kingdom | 135 | 10% |
Canada | 25 | 2% |
Brazil | 17 | 1% |
Japan | 17 | 1% |
Poland | 15 | 1% |
Australia | 11 | <1% |
Germany | 8 | <1% |
India | 6 | <1% |
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Demographic breakdown
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Practitioners (doctors, other healthcare professionals) | 38 | 3% |
Scientists | 24 | 2% |
Science communicators (journalists, bloggers, editors) | 6 | <1% |
Unknown | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 115 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 11% |
Researcher | 11 | 10% |
Student > Master | 11 | 10% |
Student > Bachelor | 11 | 10% |
Student > Postgraduate | 10 | 9% |
Other | 26 | 23% |
Unknown | 33 | 29% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 11 | 10% |
Chemistry | 8 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
Other | 18 | 16% |
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