| Literature DB >> 27679517 |
Siddharth Sukumaran1, Crystal Zhang1, Douglas D Leipold1, Ola M Saad1, Keyang Xu1, Kapil Gadkar1, Divya Samineni1, Bei Wang1, Marija Milojic-Blair1, Montserrat Carrasco-Triguero1, Bonnee Rubinfeld1, Paul Fielder1, Kedan Lin1, Saroja Ramanujan2.
Abstract
Antibody drug conjugates (ADC), in which small molecule cytotoxic agents are non-specifically linked to antibodies, can enable targeted delivery of chemotherapeutics to tumor cells. ADCs are often produced and administered as a mixture of conjugated antibodies with different drug to antibody ratios (DAR) resulting in complex and heterogeneous disposition kinetics. We developed a mechanism-based platform model that can describe and predict the complex pharmacokinetic (PK) behavior of ADCs with protease-cleavable valine-citrulline (VC) linker linked to Monomethylmonomethyl auristatin F/E by incorporating known mechanisms of ADC disposition. The model includes explicit representation of all DAR species; DAR-dependent sequential deconjugation of the drug, resulting in the conversion of higher DAR to lower DAR species; and DAR-dependent antibody/ADC clearance. PK profiles of multiple analytes (total antibody, drug-conjugated antibody, and/or antibody-conjugated drug) for different ADC molecules and targets in rodents and cynomolgus monkeys were used for model development. The integrated cross-species model was successful in capturing the multi-analyte PK profiles after administration of purified ADCs with defined DAR species and ADCs with mixtures of DAR. Human PK predictions for DSTP3086S (anti-STEAP1-vc-MMAE) with the platform model agreed well with PK (total antibody and antibody-conjugated drug concentrations) measurements in the dose-ranging phase I clinical study. The integrated model is applicable to various other ADCs with different formats, conjugated drugs, and linkers, and provides a valuable tool for the exploration of mechanisms governing disposition of ADCs and enables translational predictions.Entities:
Keywords: DSTP3086S; antibody-drug conjugate; clinical translation; drug deconjugation; drug-to-antibody ratio (DAR); mathematical modeling
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Year: 2016 PMID: 27679517 DOI: 10.1208/s12248-016-9993-z
Source DB: PubMed Journal: AAPS J ISSN: 1550-7416 Impact factor: 4.009