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Erschienen in: Cancer Chemotherapy and Pharmacology 6/2016

09.05.2016 | Original Article

A comprehensive pharmacokinetic/pharmacodynamics analysis of the novel IGF1R/INSR inhibitor BI 893923 applying in vitro, in vivo and in silico modeling techniques

verfasst von: Melanie I. Titze, Otmar Schaaf, Marco H. Hofmann, Michael P. Sanderson, Stephan K. Zahn, Jens Quant, Thorsten Lehr

Erschienen in: Cancer Chemotherapy and Pharmacology | Ausgabe 6/2016

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Abstract

Purpose

BI 893923 is a novel IGF1R/INSR tyrosine kinase inhibitor demonstrating anti-tumor efficacy and good tolerability. We aimed to characterize the relationship between BI 893923 plasma concentration, tumor biomarker modulation, tumor growth and hyperglycemia in mice using in silico modeling analyses.

Methods

In vitro molecular and cellular assays were used to demonstrate the potency and selectivity of BI 893923. Diverse in vitro DMPK assays were used to characterize the compound’s drug-like properties. Mice xenografted with human GEO tumors were treated with different doses of BI 893923 to demonstrate the compound’s efficacy, biomarker modulation and tolerability. PK/PD analyses were performed using nonlinear mixed-effects modeling.

Results

BI 893923 demonstrated potent and selective molecular inhibition of the IGF1R and INSR and demonstrated attractive drug-like properties (permeability, bioavailability). BI 893923 dose-dependently reduced GEO tumor growth and demonstrated good tolerability, characterized by transient hyperglycemia and normal body weight gain. A population PK/PD model was developed, which established relationships between BI 893923 pharmacokinetics, hyperglycemia, pIGF1R reduction and tumor growth.

Conclusion

BI 893923 demonstrates molecular properties consistent with a highly attractive inhibitor of the IGF1R/INSR. A generic PK/PD model was developed to support preclinical drug development and dose finding in mice.
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Metadaten
Titel
A comprehensive pharmacokinetic/pharmacodynamics analysis of the novel IGF1R/INSR inhibitor BI 893923 applying in vitro, in vivo and in silico modeling techniques
verfasst von
Melanie I. Titze
Otmar Schaaf
Marco H. Hofmann
Michael P. Sanderson
Stephan K. Zahn
Jens Quant
Thorsten Lehr
Publikationsdatum
09.05.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Cancer Chemotherapy and Pharmacology / Ausgabe 6/2016
Print ISSN: 0344-5704
Elektronische ISSN: 1432-0843
DOI
https://doi.org/10.1007/s00280-016-3049-z

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