The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Systemic Delivery of Tumor Suppressor microRNA Mimics Using a Neutral Lipid Emulsion Inhibits Lung Tumors in Mice
Open accessAbstract
MicroRNAs (miRNAs) are emerging as potential cancer therapeutics, but effective delivery mechanisms to tumor sites are a roadblock to utility. Here we show that systemically delivered, synthetic miRNA mimics in complex with a novel neutral lipid emulsion are preferentially targeted to lung tumors and show therapeutic benefit in mouse models of lung cancer. Therapeutic delivery was demonstrated using mimics of the tumor suppressors, microRNA-34a (miR-34a) and let-7, both of which are often down regulated or lost in lung cancer. Systemic treatment of a Kras-activated autochthonous mouse model of non-small cell lung cancer (NSCLC) led to a significant decrease in tumor burden. Specifically, mice treated with miR-34a displayed a 60% reduction in tumor area compared to mice treated with a miRNA control. Similar results were obtained with the let-7 mimic. These findings provide direct evidence that synthetic miRNA mimics can be systemically delivered to the mammalian lung and support the promise of miRNAs as a future targeted therapy for lung cancer.
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1 retracted
A TARBP2 mutation in human cancer impairs microRNA processing and DICER1 function
Melo, S. A., Ropero, S., Moutinho, C., Aaltonen, L. A., Yamamoto, H., Calin, G. A., Rossi, S., Fernandez, A. F., Carneiro, F., Oliveira, C., et al. (2009) · Nature Genetics · doi:10.1038/ng.317 · Cited by 373
RetractedBartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Jemal, A., Siegel, R., Ward, E., Hao, Y., Xu, J., Murray, T., & Thun, M. J. (2008) · CA: A Cancer Journal for Clinicians · doi:10.3322/ca.2007.0010 · Cited by 10,188
Oncomirs—MicroRNAs with a role in cancer
Esquela-Kerscher, A., & Slack, F. J. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1840 · Cited by 5,884
Self-citationHuman microRNA genes are frequently located at fragile sites and genomic regions involved in cancers
Calin, G. A., Sevignani, C., Dumitru, C. D., Hyslop, T., Noch, E., Yendamuri, S., Shimizu, M., Rattan, S., Bullrich, F., Negrini, M., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307323101 · Cited by 4,095
RAS Is Regulated by the let-7 MicroRNA Family
Johnson, S. M., Grosshans, H., Shingara, J., Byrom, M., Jarvis, R., Cheng, A., Labourier, E., Reinert, K. L., Brown, D., & Slack, F. J. (2005) · Cell · doi:10.1016/j.cell.2005.01.014 · Cited by 3,656
Self-citationA microRNA component of the p53 tumour suppressor network
He, L., He, X., Lim, L. P., de Stanchina, E., Xuan, Z., Liang, Y., Xue, W., Zender, L., Magnus, J., Ridzon, D., et al. (2007) · Nature · doi:10.1038/nature05939 · Cited by 2,692
hSIR2SIRT1 Functions as an NAD-Dependent p53 Deacetylase
Vaziri, H., Dessain, S. K., Eaton, E. N., Imai, S.-I., Frye, R. A., Pandita, T. K., Guarente, L., & Weinberg, R. A. (2001) · Cell · doi:10.1016/s0092-8674(01)00527-x · Cited by 2,659
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010
Analysis of lung tumor initiation and progression using conditional expression of oncogenic K-ras
Jackson, E. L., Willis, N., Mercer, K., Bronson, R. T., Crowley, D., Montoya, R., Jacks, T., & Tuveson, D. A. (2001) · Genes & Development · doi:10.1101/gad.943001 · Cited by 1,898
Cited by
MicroRNA therapeutics: towards a new era for the management of cancer and other diseases
Rupaimoole, R., & Slack, F. J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.246 · Cited by 4,741
Non-viral vectors for gene-based therapy
Yin, H., Kanasty, R. L., Eltoukhy, A. A., Vegas, A. J., Dorkin, J. R., & Anderson, D. G. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3763 · Cited by 3,123
MicroRNAs in Stress Signaling and Human Disease
Mendell, J. T., & Olson, E. N. (2012) · Cell · doi:10.1016/j.cell.2012.02.005 · Cited by 1,673
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
Self-citationsiRNA versus miRNA as therapeutics for gene silencing
Lam, J. K. W., Chow, M. Y. T., Zhang, Y., & Leung, S. W. S. (2015) · Molecular Therapy — Nucleic Acids · doi:10.1038/mtna.2015.23 · Cited by 1,081
Metadata
- Authors
- Trang, P., Wiggins, J. F., Daige, C. L., Cho, C., Omotola, M., Brown, D., Weidhaas, J. B., Bader, A. G., & Slack, F. J.
- Venue
- Molecular Therapy
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 19
- Issue
- 6
- Pages
- 1116-1122
- ISSN
- 1525-0016 (ISSN-L)
- OpenAlex
- W1972551831
- Cited by
- 667
- References
- 34
- FWCI
- 27.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Trang, P., Wiggins, J. F., Daige, C. L., Cho, C., Omotola, M., Brown, D., Weidhaas, J. B., Bader, A. G., & Slack, F. J. (2011). Systemic Delivery of Tumor Suppressor microRNA Mimics Using a Neutral Lipid Emulsion Inhibits Lung Tumors in Mice. Molecular Therapy. https://doi.org/10.1038/mt.2011.48
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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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