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dc.contributor.authorKulkarni, Chethana
dc.contributor.authorBetts, Alison M.
dc.contributor.authorWittrup, Karl Dane
dc.contributor.authorMaass, Katie F
dc.date.accessioned2016-07-28T22:33:06Z
dc.date.available2017-03-01T16:14:48Z
dc.date.issued2016-02
dc.date.submitted2015-12
dc.identifier.issn1550-7416
dc.identifier.urihttp://hdl.handle.net/1721.1/103801
dc.description.abstractAntibody-drug conjugates (ADCs) are a promising class of cancer therapeutics that combine the specificity of antibodies with the cytotoxic effects of payload drugs. A quantitative understanding of how ADCs are processed intracellularly can illustrate which processing steps most influence payload delivery, thus aiding the design of more effective ADCs. In this work, we develop a kinetic model for ADC cellular processing as well as generalizable methods based on flow cytometry and fluorescence imaging to parameterize this model. A number of key processing steps are included in the model: ADC binding to its target antigen, internalization via receptor-mediated endocytosis, proteolytic degradation of the ADC, efflux of the payload out of the cell, and payload binding to its intracellular target. The model was developed with a trastuzumab-maytansinoid ADC (TM-ADC) similar to trastuzumab-emtansine (T-DM1), which is used in the clinical treatment of HER2+ breast cancer. In three high-HER2-expressing cell lines (BT-474, NCI-N87, and SK-BR-3), we report for TM-ADC half-lives for internalization of 6–14 h, degradation of 18–25 h, and efflux rate of 44–73 h. Sensitivity analysis indicates that the internalization rate and efflux rate are key parameters for determining how much payload is delivered to a cell with TM-ADC. In addition, this model describing the cellular processing of ADCs can be incorporated into larger pharmacokinetics/pharmacodynamics models, as demonstrated in the associated companion paper.en_US
dc.description.sponsorshipHertz Foundation. Graduate Fellowshipen_US
dc.description.sponsorshipNational Science Foundation (U.S.). Graduate Research Fellowship Programen_US
dc.description.sponsorshipPfizer Inc.en_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (Koch Institute Support (core) grant P30-CA14051)en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttp://dx.doi.org/10.1208/s12248-016-9892-3en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer USen_US
dc.titleDetermination of Cellular Processing Rates for a Trastuzumab-Maytansinoid Antibody-Drug Conjugate (ADC) Highlights Key Parameters for ADC Designen_US
dc.typeArticleen_US
dc.identifier.citationMaass, Katie F., Chethana Kulkarni, Alison M. Betts, and K. Dane Wittrup. “Determination of Cellular Processing Rates for a Trastuzumab-Maytansinoid Antibody-Drug Conjugate (ADC) Highlights Key Parameters for ADC Design.” AAPS J 18, no. 3 (February 24, 2016): 635–646.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorMaass, Katie F.en_US
dc.contributor.mitauthorWittrup, Karl Daneen_US
dc.relation.journalThe AAPS Journalen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-05-23T12:17:58Z
dc.language.rfc3066en
dc.rights.holderAmerican Association of Pharmaceutical Scientists
dspace.orderedauthorsMaass, Katie F.; Kulkarni, Chethana; Betts, Alison M.; Wittrup, K. Daneen_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0003-2398-5896
dc.identifier.orcidhttps://orcid.org/0000-0002-0493-2863
mit.licenseOPEN_ACCESS_POLICYen_US


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