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Phosphorylation by mTORC1 stablizes Skp2 and regulates its oncogenic function in gastric cancer

Overview of attention for article published in Molecular Cancer, April 2017
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Title
Phosphorylation by mTORC1 stablizes Skp2 and regulates its oncogenic function in gastric cancer
Published in
Molecular Cancer, April 2017
DOI 10.1186/s12943-017-0649-0
Pubmed ID
Authors

Qirong Geng, Jianjun Liu, Zhaohui Gong, Shangxiang Chen, Shuai Chen, Xiaoxing Li, Yue Lu, Xiaofeng Zhu, Hui-kuan Lin, Dazhi Xu

Abstract

Both mTOR and Skp2 play critical roles in gastric cancer (GC) tumorigenesis. However, potential mechanisms for the association between these two proteins remains unidentified. The regulatory role for mTORC1 in Skp2 stability was tested using ubiquitination assay. The functions of p-Skp2 (phosphorylation of Skp2) were studied in vitro and in vivo. Expression of p-Skp2 and p-mTOR (phosphorylation of mTOR) were shown in GC lines and in 169 human primary GC tissues. mTORC1 can directly interact with Skp2 and phosphorylated Skp2 at Ser64, which sequentially protect Skp2 from ubiquitination and degradation. Furthermore, the phospho-deficient p-Skp2 (S64) mutant significantly suppresses GC cell proliferation and tumorigenesis. The expression of p-Skp2 was associated with p-mTOR in GC cell lines and tissues. Interestingly, the combination of p-Skp2 and p-mTOR was a better predictor of survival than either factor alone. The mTORC1 function to regulate Skp2 by Ser64 phosphorylation may represent an oncogenic event in GC tumorigenesis. Moreover, our study also indicates that Skp2 Ser64 expression is a potential indicator in the treatment of GC patients using mTORC1 inhibitor.

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The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Professor 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 4 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Mathematics 1 10%
Agricultural and Biological Sciences 1 10%
Medicine and Dentistry 1 10%
Unknown 4 40%