Hypoxia-upregulated microRNA-630 targets Dicer, leading to increased tumor progression (original) (raw)
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Acknowledgements
Portions of this work were supported by the National Institutes of Health (P30 CA016672, CA109298, UH2TR000943-01, P50 CA083639, P50 CA098258, CA128797, U54 CA151668 and U24CA143835); the Cancer Prevention and Research Institute of Texas (RP110595); the Ovarian Cancer Research Fund, Inc. (Program Project Development Grant); the Red and Charline McCombs Institute for the Early Detection and Treatment of Cancer; the RGK Foundation; the Gilder Foundation; the Blanton-Davis Ovarian Cancer Research Program; and the Betty Anne Asche Murray Distinguished Professorship (AKS). RR is supported in part by the Russell and Diana Hawkins Family Foundation Discovery Fellowship. S.Y.W. is supported by the Ovarian Cancer Research Fund, Inc., Foundation for Women’s Cancer and Cancer Prevention and Research Institute of Texas training grants (RP101502 and RP101489). RAP is supported by the NCI-DHHS-NIH T32 training grant (T32 CA101642). CVP is supported by a grant from the NCI (T32 training grant CA009666), the 2011 Conquer Cancer Foundation ASCO Young Investigator Award and the DoCM Advanced Scholar Program. ASN is supported by a Research Training Award from the Cancer Prevention and Research Institute of Texas (CPRIT RP140106). KMG is supported by Altman Goldstein Discovery fellowship. We thank Dr Xinna Zhang for assistance with the in situ hybridization analysis.
Author contributions
Conception and design, development of methodology, writing, review and/or revision of the manuscript, administrative, technical or material support (that is, reporting or organizing data, constructing databases) and study supervision: RR and AKS. Acquisition of data (provided animals, acquired and managed patients, provided facilities and so on): RR, SYW, CVP, RAP, KMG, ASN, GNA-P, MMcG, SP, LSM, CR-A, LH, MB-E, WZ, GL-B, GAC and AKS. Analysis and interpretation of data (for example, statistical analysis, biostatistics and computational analysis): CI and DY.
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Authors and Affiliations
- Department of Gynecologic Oncology and Reproductive Medicine, Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
R Rupaimoole, C Ivan, K M Gharpure, S Y Wu, R A Previs, A S Nagaraja, G N Armaiz-Pena, M McGuire, S Pradeep, L S Mangala & A K Sood - Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
R Rupaimoole, K M Gharpure & A S Nagaraja - Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
C Ivan, L S Mangala, C Rodriguez-Aguayo, G Lopez-Berestein, G A Calin & A K Sood - Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, USA
D Yang - Department of Medicine, University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
C V Pecot - Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
C Rodriguez-Aguayo, G Lopez-Berestein & G A Calin - Department of Cancer Biology, Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
L Huang, M Bar-Eli & A K Sood - Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
W Zhang
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Rupaimoole, R., Ivan, C., Yang, D. et al. Hypoxia-upregulated microRNA-630 targets Dicer, leading to increased tumor progression.Oncogene 35, 4312–4320 (2016). https://doi.org/10.1038/onc.2015.492
- Received: 17 April 2015
- Revised: 16 November 2015
- Accepted: 20 November 2015
- Published: 04 January 2016
- Issue Date: 18 August 2016
- DOI: https://doi.org/10.1038/onc.2015.492