Title |
Fluoxetine modulates breast cancer metastasis to the brain in a murine model
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Published in |
BMC Cancer, August 2014
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DOI | 10.1186/1471-2407-14-598 |
Pubmed ID | |
Authors |
Yuriy Shapovalov, Martha Zettel, Sara C Spielman, Stacy A Amico-Ruvio, Emily A Kelly, Grayson O Sipe, Ian M Dickerson, Ania K Majewska, Edward B Brown |
Abstract |
Despite advances in the treatment of primary breast tumors, the outcome of metastatic breast cancer remains dismal. Brain metastases present a particularly difficult therapeutic target due to the "sanctuary" status of the brain, with resulting inability of most chemotherapeutic agents to effectively eliminate cancer cells in the brain parenchyma. A large number of breast cancer patients receive various neuroactive drugs to combat complications of systemic anti-tumor therapies and to treat concomitant diseases. One of the most prescribed groups of neuroactive medications is anti-depressants, in particular selective serotonin reuptake inhibitors (SSRIs). Since SSRIs have profound effects on the brain, it is possible that their use in breast cancer patients could affect the development of brain metastases. This would provide important insight into the mechanisms underlying brain metastasis. Surprisingly, this possibility has been poorly explored. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 2% |
Unknown | 50 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 31% |
Student > Bachelor | 10 | 20% |
Student > Doctoral Student | 7 | 14% |
Researcher | 4 | 8% |
Professor | 3 | 6% |
Other | 6 | 12% |
Unknown | 5 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 24% |
Biochemistry, Genetics and Molecular Biology | 6 | 12% |
Neuroscience | 6 | 12% |
Agricultural and Biological Sciences | 5 | 10% |
Engineering | 4 | 8% |
Other | 12 | 24% |
Unknown | 6 | 12% |