| 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
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 December 2014.
All research outputs
#17,731,702
of 22,770,070 outputs
Outputs from Tumor Biology
#1,220
of 2,622 outputs
Outputs of similar age
#173,054
of 256,836 outputs
Outputs of similar age from Tumor Biology
#63
of 143 outputs
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