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Integrated Analyses Identify a Master MicroRNA Regulatory Network for the Mesenchymal Subtype in Serous Ovarian Cancer
Open accessAbstract
Summary Integrated genomic analyses revealed a miRNA-regulatory network, which further defined a robust integrated mesenchymal subtype associated with poor overall survival in 459 cases of serous ovarian cancer (OvCa) from The Cancer Genome Atlas and 560 cases from independent cohorts. Eight key miRNAs, including miR-506, miR-141 and miR-200a, were predicted to regulate 89% of the targets in this network. Follow-up functional experiments illustrate that miR-506 augmented E-cadherin expression, inhibited cell migration and invasion, and prevented TGFβ-induced epithelial-mesenchymal transition (EMT) by targeting SNAI2, a transcriptional repressor of E-cadherin. In human OvCa, miR-506 expression was correlated with decreased SNAI2 and VIM, elevated E-cadherin, and beneficial prognosis. Nanoparticle delivery of miR-506 in orthotopic OvCa mouse models led to E-cadherin induction and reduced tumor growth.
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Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
Snail, Zeb and bHLH factors in tumour progression: An alliance against the epithelial phenotype?
Peinado, H., Olmeda, D., & Cano, A. (2007) · Nature reviews. Cancer · doi:10.1038/nrc2131 · Cited by 3,121
Park, S.-M., Gaur, A. B., Lengyel, E., & Peter, M. E. (2008) · Genes & Development · doi:10.1101/gad.1640608 · Cited by 2,272
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The role of non-coding RNAs in oncology
Slack, F. J., & Chinnaiyan, A. M. (2019) · Cell · doi:10.1016/j.cell.2019.10.017 · Cited by 1,619
Matulonis, U. A., Sood, A. K., Fallowfield, L., Howitt, B. E., Sehouli, J., & Karlan, B. Y. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.61 · Cited by 1,362
Self-citationTargeting TGF-β Signaling in Cancer
Colak, S., & ten Dijke, P. (2017) · Trends in cancer · doi:10.1016/j.trecan.2016.11.008 · Cited by 1,003
A network-biology perspective of microRNA function and dysfunction in cancer
Bracken, C. P., Scott, H. S., & Goodall, G. J. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.134 · Cited by 668
Metadata
- Authors
- Yang, D., Sun, Y., Hu, L., Zheng, H., Ji, P., Pecot, C. V., Zhao, Y., Reynolds, S., Cheng, H., Rupaimoole, R., Cogdell, D., Nykter, M., Broaddus, R., Rodriguez-Aguayo, C., Lopez-Berestein, G., Liu, J., Shmulevich, I., Sood, A. K., Chen, K., & Zhang, W.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 23
- Issue
- 2
- Pages
- 186-199
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2059806955
- Cited by
- 394
- References
- 4
- FWCI
- 17.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Yang, D., Sun, Y., Hu, L., Zheng, H., Ji, P., Pecot, C. V., Zhao, Y., Reynolds, S., Cheng, H., Rupaimoole, R., Cogdell, D., Nykter, M., Broaddus, R., Rodriguez-Aguayo, C., Lopez-Berestein, G., Liu, J., Shmulevich, I., Sood, A. K., Chen, K., & Zhang, W. (2013). Integrated Analyses Identify a Master MicroRNA Regulatory Network for the Mesenchymal Subtype in Serous Ovarian Cancer. Cancer Cell. https://doi.org/10.1016/j.ccr.2012.12.020
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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