Title |
MicroRNA-224 and its target CAMKK2 synergistically influence tumor progression and patient prognosis in prostate cancer
|
---|---|
Published in |
Tumor Biology, November 2014
|
DOI | 10.1007/s13277-014-2805-0 |
Pubmed ID | |
Authors |
Hao FU, Hui-chan He, Zhao-dong Han, Yue-ping Wan, Hong-wei Luo, Ya-qiang Huang, Chao Cai, Yu-xiang Liang, Qi-shan Dai, Fu-neng Jiang, Wei-de Zhong |
Abstract |
We previously demonstrated that microRNA (miR)-224 expression was significantly reduced in human prostate cancer (PCa) tissues and predicted unfavorable prognosis in patients. However, the underlying mechanisms of miR-224 have not been fully elucidated. In this study, calcium/calmodulin-dependent protein kinase kinase 2 (CAMKK2) was identified as a target gene of miR-224. Then, we found that enforced expression of miR-224 could suppress PCa cell proliferation and cell cycle by regulating the expression of CAMKK2 in vitro. In addition, the expression levels of miR-224 in PCa tissues were negatively correlated with those of CAMKK2 mRNA significantly (Spearman's correlation: r = -0.66, P = 0.004). Moreover, combined low miR-224 expression and high CAMKK2 expression (miR-224-low/CAMKK2-high) was closely correlated with advanced clinical stage (P = 0.028). Furthermore, PCa patients with miR-224-low/CAMKK2-high expression more frequently had shorter overall survival than those in groups with other expression patterns of two molecules. In conclusion, our data offer the convincing evidence that miR-224 and its target gene CAMKK2 may synergistically contribute to the malignant progression of PCa. Combined detection of miR-224 and CAMKK2 expressions represents an efficient predictor of patient prognosis and may be a novel marker which can provide additional prognostic information in PCa. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 26% |
Student > Master | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Librarian | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 21% |
Agricultural and Biological Sciences | 2 | 11% |
Medicine and Dentistry | 2 | 11% |
Social Sciences | 1 | 5% |
Unknown | 10 | 53% |