Title |
MicroRNA-217 functions as a prognosis predictor and inhibits colorectal cancer cell proliferation and invasion via an AEG-1 dependent mechanism
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Published in |
BMC Cancer, May 2015
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DOI | 10.1186/s12885-015-1438-z |
Pubmed ID | |
Authors |
Bo Wang, Zhan-long Shen, Ke-wei Jiang, Gang Zhao, Chun-you Wang, Yi-chao Yan, Yang Yang, Ji-zhun Zhang, Chao Shen, Zhi-dong Gao, Ying-jiang Ye, Shan Wang |
Abstract |
Recent studies have indicated the possible function of miR-217 in tumorigenesis. However, the roles of miR-217 in colorectal cancer (CRC) are still largely unknown. We examined the expression of miR-217 and AEG-1 in 50 CRC tissues and the corresponding noncancerous tissues by qRT-PCR. The clinical significance of miR-217 was analyzed. CRC cell lines with miR-217 upregulation and AEG-1 silencing were established and the effects on tumor growth in vitro and in vivo were assessed. Dual-luciferase reporter gene assays were also performed to investigate the interaction between miR-217 and AEG-1. Our data demonstrated that miR-217 was significantly downregulated in 50 pairs of colorectal cancer tissues. MiR-217 expression levels were closely correlated with tumor differentiation. Moreover, decreased miR-217 expression was also associated with shorter overall survival of CRC patients. MiR-217 overexpression significantly inhibited proliferation, colony formation and invasiveness of CRC cells by promoting apoptosis and G0/G1 phase arrest. Interestingly, ectopic miR-217 expression decreased AEG-1 expression and repressed luciferase reporter activity associated with the AEG-1 3'-untranslated region (UTR). AEG-1 silencing resulted in similar biological behavior changes to those associated with miR-217 overexpression. Finally, in a nude mouse xenografted tumor model, miR-217 overexpression significantly suppressed CRC cell growth. Our findings suggest that miR-217 has considerable value as a prognostic marker and potential therapeutic target in CRC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 4 | 21% |
Researcher | 3 | 16% |
Student > Ph. D. Student | 3 | 16% |
Student > Master | 2 | 11% |
Student > Bachelor | 1 | 5% |
Other | 2 | 11% |
Unknown | 4 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 21% |
Medicine and Dentistry | 3 | 16% |
Agricultural and Biological Sciences | 2 | 11% |
Psychology | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 2 | 11% |
Unknown | 6 | 32% |