The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Nanomedicine based approaches for the delivery of siRNA in cancer
Open accessAbstract
Abstract.: Small interfering RNA (siRNA) technology holds great promise as a therapeutic intervention for targeted gene silencing in cancer and other diseases. However, in vivo systemic delivery of siRNA‐based therapeutics to tumour tissues/cells remains a challenge. The major limitations against the use of siRNA as a therapeutic tool are its degradation by serum nucleases, poor cellular uptake and rapid renal clearance following systemic administration. Several siRNA‐based loco‐regional therapeutics are already in clinical trials. Further development of siRNAs for anti‐cancer therapy depends on the development of safe and effective nanocarriers for systemic administration. To overcome these hurdles, nuclease‐resistant chemically modified siRNAs and variety of synthetic and natural biodegradable lipids and polymers have been developed to systemically deliver siRNA with different efficacy and safety profiles. Cationic liposomes have emerged as one of the most attractive carriers because of their ability to form complexes with negatively charged siRNA and high in vitro transfection efficiency. However, their effectiveness as potential therapeutic carriers is limited by potential for pulmonary toxicity. Recently, our laboratories described the use of neutral 1,2‐dioleoyl‐sn‐glycero‐3‐phosphatidylcholine based nanoliposomes in murine tumour models. We found this approach to be safe and 10‐ and 30‐fold more effective than cationic liposomes and naked siRNA, respectively, for systemic delivery of siRNA into tumour tissues. Here, we review potential approaches for systemic delivery of siRNA for cancer therapy.
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Cites
Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429
Maeda, H. (2001) · Advances in Enzyme Regulation · doi:10.1016/s0065-2571(00)00013-3 · Cited by 2,495
Toxicity of cationic lipids and cationic polymers in gene delivery
Lv, H., Zhang, S., Wang, B., Cui, S., & Yan, J. (2006) · Journal of Controlled Release · doi:10.1016/j.jconrel.2006.04.014 · Cited by 2,286
RNAi-mediated gene silencing in non-human primates
Zimmermann, T. S., Lee, A. C. H., Akinc, A., Bramlage, B., Bumcrot, D., Fedoruk, M. N., Harborth, J., Heyes, J. A., Jeffs, L. B., John, M., et al. (2006) · Nature · doi:10.1038/nature04688 · Cited by 1,357
Oxygen Radical-Mediated Pulmonary Toxicity Induced by Some Cationic Liposomes
Dokka, S., Toledo, D., Shi, X., Castranova, V., & Rojanasakul, Y. (2000) · Pharmaceutical Research · doi:10.1023/a:1007504613351 · Cited by 349
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Dai, W., Qiao, X., Fang, Y., Guo, R., Bai, P., Liu, S., Li, T., Jiang, Y., Wei, S., Na, Z., et al. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02039-0 · Cited by 339
Passive versus Active Tumor Targeting Using RGD- and NGR-Modified Polymeric Nanomedicines
Kunjachan, S., Pola, R., Gremse, F., Theek, B., Ehling, J., Moeckel, D., Hermanns-Sachweh, B., Pechar, M., Ulbrich, K., Hennink, W. E., et al. (2014) · Nano Letters · doi:10.1021/nl404391r · Cited by 317
Metadata
- Authors
- Ozpolat, B., Sood, A. K., & Lopez‐Berestein, G.
- Venue
- Journal of Internal Medicine
- Publisher
- Wiley
- Published
- 2009-12-11
- Volume
- 267
- Issue
- 1
- Pages
- 44-53
- ISSN
- 0954-6820 (ISSN-L)
- 1365-2796
- OpenAlex
- W1881967720
- Cited by
- 218
- References
- 5
- FWCI
- 6.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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