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siRNA-Based Nanomedicine

Authors: Zhao, J.; Mi, Y.; Feng, S.-S.;

siRNA-Based Nanomedicine

Abstract

By nature, cancer cells are the toughest cells against any treatment. The various available therapies would be much more effective at much lower dose if siRNA against the therapeutic resistance could be identified and successfully codelivered by nanocarriers such as polymer conjugation, micelles, liposomes, solid lipid nanoparticles, nanohydrogels and dendrimers. Cancer is a significant health problem world wide. The death rate of cancer among the various diseases was 23.3% in the USA in 2010 and 30.0% in Singapore in 2011. Patients with cancers that are detected at later stages have a lower 5 - year relative survival (23.3% for breast cancer, 11.7% for colon cancer and 3.6% for

Country
Singapore
Keywords

RNAi therapeutics, biodegradable polymer, chemotherapy, Nanostructures, nanoimmunotherapy, thermotherapy, Drug Delivery Systems, Nanomedicine, multidrug resistance, Neoplasms, Animals, Humans, RNA, Small Interfering

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
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