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Human microdosing and mice xenograft data of AGM-130 applied to estimate efficacious doses in patients

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Abstract
Purpose AGM-130 is a cyclin-dependent kinase inhibitor that exhibits dose-dependent efficacy in xenograft mouse models. During preclinical pharmacokinetic (PK) studies, mice and rats showed comparable PK parameters while dogs showed unusually high clearance (CL), which has made human PK prediction challenging. To address this discrepancy, we performed a human microdosing PK and developed a mouse PK/PD model in order to guide the first-in-human studies.

Methods A microdose of AGM-130 was given via intravenous injection to healthy subjects. Efficacy data obtained using MCF-7 breast cancer cells implanted in mice was analyzed using pre-existing tumor growth inhibition models. We simulated a human PK/PD profile with the PK parameters obtained from themicrodose study and the PD parameters estimated from the xenograft PK/PD model.

Results The human CL of AGM-130 was 3.08 L/h/kg, which was comparable to CL in mice and rats. The timecourses of tumor growth in xenograft model was well described by a preexisting model. Our simulation indicated that the human doses needed for 50 and 90% inhibition of tumor growth were about 100 and 400 mg, respectively.

Conclusions This is the first report of using microdose PK and xenograft PK/PD model to predict efficacious doses before the first-in-human trial in cancer patients. In addition, this work highlights the importance of integration of all of information in PK/PD analysis and illustrates how modeling and simulation can be used to add value in the early stages of drug development.
Author(s)
Park, Wan-SuPark, Gab-jinHan, SeunghoonBan, SoohoPark, Moon-YoungKim, San-hoKim, Seon-MyungKim, Yong-ChulKim, Hyung SikShin, Young G.Yim, Dong-Seok
Issued Date
2017-08
Type
Article
DOI
10.1007/s00280-017-3373-y
URI
https://scholar.gist.ac.kr/handle/local/13669
Publisher
Springer Verlag
Citation
Cancer Chemotherapy and Pharmacology, v.80, no.2, pp.363 - 369
ISSN
0344-5704
Appears in Collections:
Department of Life Sciences > 1. Journal Articles
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