| Title |
MiRNA-494 inhibits metastasis of cervical cancer through Pttg1
|
|---|---|
| Published in |
Tumor Biology, April 2015
|
| DOI | 10.1007/s13277-015-3440-0 |
| Pubmed ID | |
| Authors |
Bing Chen, Zhaohui Hou, Chundong Li, Ying Tong |
| Abstract |
Many cervical cancer (CC) patients experience early cancer metastasis, resulting in poor therapeutic outcome after resection of primary cancer. Hence, there is a compelling requirement for understanding of the molecular mechanisms underlying the invasiveness control of CC. Pituitary tumor-transforming gene 1 (Pttg1) has been recently reported to promote cancer cell growth and metastasis in a number of various tumors. However, its regulation by microRNAs (miRNAs) as well as its role in CC have not been clarified. Here, we reported significantly higher levels of Pttg1 and significantly lower levels of miR-494 in the resected CC tissue, compared with the adjacent normal cervical tissue from the same patient. Interestingly, Pttg1 levels inversely correlated with miR-494 levels. In vitro, Pttg1 levels determined CC cell invasiveness and were inhibited by miR-494 levels. However, miR-494 levels were not affected by Pttg1 levels. Furthermore, miR-494 inhibited Pttg1 expression in CC cells, through directly binding and inhibition on 3'-UTR of Pttg1 mRNA. Together, our data suggest that Pttg1 may increase CC cell metastasis, which is negatively regulated by miR-494. Our work thus highlights a novel molecular regulatory machinery in metastasis of CC. |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 38% |
| Student > Bachelor | 3 | 23% |
| Student > Master | 2 | 15% |
| Other | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 31% |
| Agricultural and Biological Sciences | 3 | 23% |
| Medicine and Dentistry | 2 | 15% |
| Unknown | 4 | 31% |
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 18 April 2015.
All research outputs
#18,405,972
of 22,799,071 outputs
Outputs from Tumor Biology
#1,369
of 2,622 outputs
Outputs of similar age
#173,761
of 237,938 outputs
Outputs of similar age from Tumor Biology
#56
of 152 outputs
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