| Title |
Expression of microRNA-452 via adenoviral vector inhibits non-small cell lung cancer cells proliferation and metastasis
|
|---|---|
| Published in |
Tumor Biology, December 2015
|
| DOI | 10.1007/s13277-015-4725-z |
| Pubmed ID | |
| Authors |
Yongsheng Zhang, Lu Han, Jian Pang, Yang Wang, Fan Feng, Qiyu Jiang |
| Abstract |
The microRNA miR-452 has been shown to function as a tumor suppressor. However, the cellular mechanism and potential application of miR-452-mediated cancer suppression remain great unknown. This study aims to identify how miR-452 acts in regulating non-small cell lung cancer (NSCLC) proliferation and metastasis. Expression of miR-452 via adenoviral (Ad) vector inhibits the proliferation, invasion, and migration of NSCLC cells A549 or H460. Our data also shows that miR-452 down-regulates the expression of Bmi-1 as well as pro-survival or anti-apoptosis regulators Survivin, cIAP-1, and cIAP-2. By such gene interference, miR-452 modulates NSCLC cell epithelial-mesenchymal transition (EMT) and further disrupts their migration and invasion. Moreover, miR-452 blocks the activation of PI3K/AKT pathway, which is also required for EMT process. These data reveal that miR-452 treatment could be a novel target or strategy for NSCLC treatment. |
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 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 > Bachelor | 2 | 29% |
| Lecturer | 1 | 14% |
| Professor | 1 | 14% |
| Researcher | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 29% |
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Veterinary Science and Veterinary Medicine | 1 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 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 02 January 2016.
All research outputs
#20,299,108
of 22,836,570 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#330,200
of 393,178 outputs
Outputs of similar age from Tumor Biology
#181
of 290 outputs
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