Title |
A ZEB1-miR-375-YAP1 pathway regulates epithelial plasticity in prostate cancer
|
---|---|
Published in |
Oncogene, June 2016
|
DOI | 10.1038/onc.2016.185 |
Pubmed ID | |
Authors |
L A Selth, R Das, S L Townley, I Coutinho, A R Hanson, M M Centenera, N Stylianou, K Sweeney, C Soekmadji, L Jovanovic, C C Nelson, A Zoubeidi, L M Butler, G J Goodall, B G Hollier, P A Gregory, W D Tilley |
Abstract |
MicroRNA-375 (miR-375) is frequently elevated in prostate tumors and cell-free fractions of patient blood, but its role in genesis and progression of prostate cancer is poorly understood. In this study, we demonstrated that miR-375 is inversely correlated with epithelial-mesenchymal transition signatures (EMT) in clinical samples and can drive mesenchymal-epithelial transition (MET) in model systems. Indeed, miR-375 potently inhibited invasion and migration of multiple prostate cancer lines. The transcription factor YAP1 was found to be a direct target of miR-375 in prostate cancer. Knockdown of YAP1 phenocopied miR-375 overexpression, and overexpression of YAP1 rescued anti-invasive effects mediated by miR-375. Furthermore, transcription of the miR-375 gene was shown to be directly repressed by the EMT transcription factor, ZEB1. Analysis of multiple patient cohorts provided evidence for this ZEB1-miR-375-YAP1 regulatory circuit in clinical samples. Despite its anti-invasive and anti-EMT capacities, plasma miR-375 was found to be correlated with circulating tumor cells in men with metastatic disease. Collectively, this study provides new insight into the function of miR-375 in prostate cancer, and more broadly identifies a novel pathway controlling epithelial plasticity and tumor cell invasion in this disease.Oncogene advance online publication, 6 June 2016; doi:10.1038/onc.2016.185. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 79 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 22% |
Researcher | 13 | 16% |
Student > Master | 8 | 10% |
Student > Bachelor | 7 | 9% |
Professor > Associate Professor | 5 | 6% |
Other | 17 | 22% |
Unknown | 12 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 29 | 37% |
Medicine and Dentistry | 15 | 19% |
Agricultural and Biological Sciences | 11 | 14% |
Chemistry | 2 | 3% |
Social Sciences | 2 | 3% |
Other | 4 | 5% |
Unknown | 16 | 20% |