| Title |
Pituitary tumor-transforming gene 1 enhances metastases of cervical cancer cells through miR-3666-regulated ZEB1
|
|---|---|
| Published in |
Tumor Biology, September 2015
|
| DOI | 10.1007/s13277-015-4047-1 |
| Pubmed ID | |
| Authors |
Lin Li, Li-Ying Han, Ming Yu, Qi Zhou, Jian-Cheng Xu, Ping Li |
| Abstract |
Early cancer metastases often occur in cervical cancer (CC) patients, resulting in poor prognosis and poor therapeutic outcome after resection of primary cancer. Hence, there is a compelling requirement for elucidating the molecular mechanisms underlying the CC cell invasiveness. Recently, the role of microRNAs (miRNAs) and pituitary tumor-transforming gene 1 (Pttg1) in the carcinogenesis of CC has been reported. Nevertheless, the relationship between miRNAs and Pttg1 remains ill-defined. Here, we showed that the levels of miR-3666 were significantly decreased and the levels of zinc finger E-box binding homeobox 1 (ZEB1) and Pttg1 were significantly increased in the CC specimens from patients, compared to the paired non-tumor tissue. Moreover, the levels of miR-3666 and ZEB1 inversely correlated. Bioinformatics analyses showed that miR-3666 targeted the 3'-untranslated region (3'-UTR) of ZEB1 messenger RNA (mRNA) to inhibit its translation, which was confirmed by luciferase reporter assay. Moreover, Pttg1 overexpression inhibited miR-3666 and subsequently increased ZEB1 and cell invasion, while Pttg1 depletion increased miR-3666 and subsequently decreased ZEB1 and cell invasion. Together, our data suggest that Pttg1 may increase CC cell metastasis, possibly through miR-3666-regulated ZEB1 levels. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Student > Master | 2 | 29% |
| Researcher | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 43% |
| Veterinary Science and Veterinary Medicine | 1 | 14% |
| Immunology and Microbiology | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 1 | 14% |
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 19 September 2015.
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#20,292,660
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Outputs from Tumor Biology
#1,834
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#228,664
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Outputs of similar age from Tumor Biology
#156
of 240 outputs
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