Abstract

Distant metastasis is the main cause of breast cancer-related death; however, effective therapeutic strategies targeting metastasis are still scarce. This is largely attributable to the spatiotemporal intratumor heterogeneity during metastasis. Here we show that protein deacetylase SIRT7 is significantly downregulated in breast cancer lung metastases in human and mice, and predicts metastasis-free survival. SIRT7 deficiency promotes breast cancer cell metastasis, while temporal expression of Sirt7 inhibits metastasis in polyomavirus middle T antigen breast cancer model. Mechanistically, SIRT7 deacetylates and promotes SMAD4 degradation mediated by β-TrCP1, and SIRT7 deficiency activates transforming growth factor-β signaling and enhances epithelial-to-mesenchymal transition. Significantly, resveratrol activates SIRT7 deacetylase activity, inhibits breast cancer lung metastases, and increases survival. Our data highlight SIRT7 as a modulator of transforming growth factor-β signaling and suppressor of breast cancer metastasis, meanwhile providing an effective anti-metastatic therapeutic strategy.

Details

Title
SIRT7 antagonizes TGF-β signaling and inhibits breast cancer metastasis
Author
Tang, Xiaolong 1 ; Shi, Lei 1 ; Xie, Ni 2 ; Liu, Zuojun 1 ; Qian, Minxian 1 ; Meng, Fanbiao 1 ; Xu, Qingyang 1 ; Zhou, Mingyan 1 ; Cao, Xinyue 1 ; Wei-Guo, Zhu 3 ; Liu, Baohua 1 

 Department of Biochemistry and Molecular Biology, Shenzhen University Health Science Center, Shenzhen, China; Center for Anti-aging and Regenerative Medicine, Shenzhen University Health Science Center, Shenzhen, China 
 Shenzhen Second People’s Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen, China 
 Department of Biochemistry and Molecular Biology, Shenzhen University Health Science Center, Shenzhen, China 
Pages
1-14
Publication year
2017
Publication date
Aug 2017
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1930795854
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.