Title |
Canine REIC/Dkk-3 interacts with SGTA and restores androgen receptor signalling in androgen-independent prostate cancer cell lines
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Published in |
BMC Veterinary Research, June 2017
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DOI | 10.1186/s12917-017-1094-4 |
Pubmed ID | |
Authors |
Yuiko Kato, Kazuhiko Ochiai, Shota Kawakami, Nobuhiro Nakao, Daigo Azakami, Makoto Bonkobara, Masaki Michishita, Masami Morimatsu, Masami Watanabe, Toshinori Omi |
Abstract |
The pathological condition of canine prostate cancer resembles that of human androgen-independent prostate cancer. Both canine and human androgen receptor (AR) signalling are inhibited by overexpression of the dimerized co-chaperone small glutamine-rich tetratricopeptide repeat-containing protein α (SGTA), which is considered to cause the development of androgen-independency. Reduced expression in immortalised cells (REIC/Dkk-3) interferes with SGTA dimerization and rescues AR signalling. This study aimed to assess the effects of REIC/Dkk-3 and SGTA interactions on AR signalling in the canine androgen-independent prostate cancer cell line CHP-1. Mammalian two-hybrid and Halo-tagged pull-down assays showed that canine REIC/Dkk-3 interacted with SGTA and interfered with SGTA dimerization. Additionally, reporter assays revealed that canine REIC/Dkk-3 restored AR signalling in both human and canine androgen-independent prostate cancer cells. Therefore, we confirmed the interaction between canine SGTA and REIC/Dkk-3, as well as their role in AR signalling. Our results suggest that this interaction might contribute to the development of a novel strategy for androgen-independent prostate cancer treatment. Moreover, we established the canine androgen-independent prostate cancer model as a suitable animal model for the study of this type of treatment-refractory human cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 16% |
Other | 4 | 13% |
Student > Postgraduate | 4 | 13% |
Student > Doctoral Student | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Other | 4 | 13% |
Unknown | 10 | 32% |
Readers by discipline | Count | As % |
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Veterinary Science and Veterinary Medicine | 11 | 35% |
Medicine and Dentistry | 3 | 10% |
Agricultural and Biological Sciences | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Computer Science | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 39% |