Title |
Low mir-372 expression correlates with poor prognosis and tumor metastasis in hepatocellular carcinoma
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Published in |
BMC Cancer, March 2015
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DOI | 10.1186/s12885-015-1214-0 |
Pubmed ID | |
Authors |
Gang Wu, Yawei Wang, Xiaojun Lu, Hui He, Haiyang Liu, Xiangyu Meng, Shuguan Xia, Kunming Zheng, Boqian Liu |
Abstract |
Recent studies have shown that miR-372 plays important roles in hepatocellular carcinoma (HCC) progression. However, results have been conflicting regarding its expression levels and role in HCC. RT-PCR and in situ hybridization was used to evaluate miR-372 expression in HCC tissues and cell lines. The methylation status of neighboring CpG islands upstream of the miR-372 promoter was analyzed by methylation-specific PCR (MSP). Transfection of miR-372 mimic into HCC cell lines was used to evaluate cellular proliferation and invasion. Prognostic significance was analyzed by the Kaplan-Meier survival method and Cox regression. miR-372 was expressed at lower levels in HCC tissues compared with controls and was related to tumor metastasis and poor prognosis. Hypermethylation of miR-372 was detected in HCC cell lines and tissues, and miR-372 expression was restored upon 5-aza-dCyd treatment. Upregulated expression by mir-372 mimic transfection inhibited proliferation and invasion capacity in HCC cells. miR-372 may play an important role in hepatic carcinogenesis and may serve as a new target or method to detect and treat HCC in the future. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
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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Chile | 1 | 7% |
United States | 1 | 7% |
Unknown | 13 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
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Librarian | 2 | 13% |
Student > Postgraduate | 2 | 13% |
Researcher | 2 | 13% |
Other | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Other | 3 | 20% |
Unknown | 4 | 27% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 5 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Agricultural and Biological Sciences | 2 | 13% |
Computer Science | 1 | 7% |
Immunology and Microbiology | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 20% |