| Title |
MiR-200 suppresses metastases of colorectal cancer through ZEB1
|
|---|---|
| Published in |
Tumor Biology, August 2015
|
| DOI | 10.1007/s13277-015-3822-3 |
| Pubmed ID | |
| Authors |
Jiwei Sun, Wenjun Ding, Jiajun Zhi, Wei Chen |
| Abstract |
Poor prognosis of some colorectal cancer (CRC) cases largely results from early metastases of CRC to the distal organs. Thus, suppression of the invasion of CRC appears to be crucial therapy. Since microRNAs (miRNAs) play critical roles in the regulation of cancer metastases, identification of the involved miRNAs may provide novel therapeutic targets for CRC treatment. Here, we showed that the levels of miR-200 were significantly decreased and the levels of ZEB1 were significantly increased in the CRC specimens from patients, compared to the paired non-tumor tissue. Moreover, the levels of miR-200 and ZEB1 are inversely correlated. Bioinformatics analyses showed that miR-200 targeted the 3'-UTR of ZEB1 mRNA to inhibit its translation, which was confirmed by luciferase reporter assay. Moreover, miR-200 overexpression inhibited ZEB1-mediated cell invasiveness, while miR-200 depletion increased ZEB1-mediated cell invasiveness in CRC cells. Together, our data suggest that miR-200 suppression in CRC cells may promote ZEB1-mediated cancer metastasis. Our work thus highlights a novel molecular regulatory machinery that regulates metastases of CRC. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 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 % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Student > Master | 3 | 23% |
| Other | 2 | 15% |
| Researcher | 2 | 15% |
| Lecturer | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 31% |
| Medicine and Dentistry | 3 | 23% |
| Agricultural and Biological Sciences | 2 | 15% |
| Computer Science | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 15% |
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 06 August 2015.
All research outputs
#20,286,650
of 22,821,814 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#220,909
of 264,147 outputs
Outputs of similar age from Tumor Biology
#114
of 173 outputs
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