Title |
MicroRNA-224 sustains Wnt/β-catenin signaling and promotes aggressive phenotype of colorectal cancer
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Published in |
Journal of Experimental & Clinical Cancer Research, January 2016
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DOI | 10.1186/s13046-016-0287-1 |
Pubmed ID | |
Authors |
Tingting Li, Qiuhua Lai, Shuyang Wang, Juanjuan Cai, Zhiyuan Xiao, Danling Deng, Liuqing He, Hongli Jiao, Yaping Ye, Li Liang, Yanqing Ding, Wenting Liao |
Abstract |
Growing evidence suggests that Wnt/β-catenin pathway plays an important role in CRC development, progression and metastasis. Aberrant miR-224 expression has been reported in CRC. However, the mechanism of miR-224 promotes both proliferation and metastatic ability largely remains unclear. Real-time PCR was used to quantify miR-224 expression. Luciferase reporter assays were conducted to confirm the activity of Wnt/β-catenin pathway and target gene associations, and immunofluorescence staining assay was performed to observe the nuclear translocation of β-catenin. Bioinformatics analysis combined with in vivo and vitro functional assays showed the potential target genes, GSK3β and SFRP2, of miR-224. Specimens from forty patients with CRC were analyzed for the expression of miR-224 and the relationship with GSK3β/SFRP2 by real-time PCR and western blot. Bioinformatics and cell luciferase function studies verified the direct regulation of miR-224 on the 3'-UTR of the GSK3β and SFRP2 genes, which leads to the activation of Wnt/β-catenin signaling and the nuclear translocation of β-catenin. In addition, knockdown of miR-224 significantly recovered the expression of GSK3β and SFRP2 and attenuated Wnt/β-catenin-mediated cell metastasis and proliferation. The ectopic upregulation of miR-224 dramatically inhibited the expression of GSK3β/SFRP2 and enhanced CRC proliferation and invasion. Our research showed mechanistic links between miR-224 and Wnt/β-catenin in the pathogenesis of CRC through modulation of GSK3β and SFRP2. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 14% |
Researcher | 8 | 14% |
Student > Bachelor | 7 | 13% |
Student > Master | 5 | 9% |
Professor > Associate Professor | 3 | 5% |
Other | 6 | 11% |
Unknown | 19 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 16% |
Medicine and Dentistry | 9 | 16% |
Agricultural and Biological Sciences | 8 | 14% |
Computer Science | 2 | 4% |
Nursing and Health Professions | 2 | 4% |
Other | 7 | 13% |
Unknown | 19 | 34% |