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dc.contributor.advisorKlavs F. Jensen and Robert S. Langer.en_US
dc.contributor.authorWong, Albert, S.M. Massachusetts Institute of Technologyen_US
dc.contributor.otherHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.date.accessioned2010-04-26T19:18:56Z
dc.date.available2010-04-26T19:18:56Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/54210
dc.descriptionThesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2009.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 68-72).en_US
dc.description.abstract'Smart' targeted drug carriers have long been sought after in the treatment of epidermal growth factor (EGF)-overexpressing cancers due to the potential advantages, relative to current clinical therapies (generally limited to surgery, radiation therapy, traditional chemotherapy, and EGF receptor inhibitors (EGFRIs)), of using such 'smart' targeted drug delivery systems. However, progress toward this goal has been challenged by the difficulty of creating a drug carrier that can autonomously detect and respond to tumor cells in the body. 'Smart' micron-size drug-encapsulating epidermal growth factor (EGF)-sensitive liposomes for EGF-overexpressing cancer therapies have been developed and studied. These drug-encapsulating liposomes remain inert until they are exposed to an abnormal concentration of EGF. As a drug delivery system, these drug-encapsulating liposomes could release pharmaceutical agents specifically in the immediate neighborhood of tumors overexpressing EGF, thereby maximizing the effective amount of drug received by the tumor while minimizing the effective systemic toxicity of the drug. Additionally, quantitative mathematical models were developed to characterize multiple critical rate processes (including drug leakage from drug-encapsulating liposomes and distribution of (drug-encapsulating) liposomes in blood vessels) associated i with (drug-encapsulating) liposomes in general.en_US
dc.description.abstract(cont.) These quantitative mathematical models provide a low-cost and rapid method for screening novel drug-encapsulating liposome compositions, configurations, and synthetic methods to identify liposome compositions, configurations, and synthetic methods that would deliver optimal performance. The results provide a stepping stone toward the development of EGF-sensitive liposomes for clinical use. More generally, they also present implications for future development of other targeted drug delivery vehicles.en_US
dc.description.statementofresponsibilityby Albert Wong.en_US
dc.format.extentvi, 73 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.titleDrug-encapsulating EGF-sensitive liposomes for EGF-overexpressing cancer therapiesen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.identifier.oclc586036415en_US


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