Literature DB >> 17604156

Predicting the active doses in humans from animal studies: a novel approach in oncology.

M Rocchetti1, M Simeoni, E Pesenti, G De Nicolao, I Poggesi.   

Abstract

The success rate of clinical drug development is significantly lower in oncology than in other therapeutic areas. Predicting the activity of new compounds in humans from preclinical data could substantially reduce the number of failures. A novel approach for predicting the expected active doses in humans from the first animal studies is presented here. The method relies upon a PK/PD model of tumour growth inhibition in xenografts, which provides parameters describing the potency of the tested compounds. Anticancer drugs, currently used in the clinic, were evaluated in xenograft models and their potency parameters were estimated. A good correlation was obtained between these parameters and the exposures sustained at the therapeutically relevant dosing regimens. Based on the corresponding regression equation and the potency parameters estimated in the first preclinical studies, the therapeutically active concentrations of new compounds can be estimated. An early knowledge of level of exposure or doses to be reached in humans will improve the risk evaluation and decision making processes in anticancer drug development.

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Year:  2007        PMID: 17604156     DOI: 10.1016/j.ejca.2007.05.011

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  27 in total

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Journal:  Cancer Cell       Date:  2014-03-27       Impact factor: 31.743

4.  Improvement of Parameter Estimations in Tumor Growth Inhibition Models on Xenografted Animals: Handling Sacrifice Censoring and Error Caused by Experimental Measurement on Larger Tumor Sizes.

Authors:  Philippe B Pierrillas; Michel Tod; Magali Amiel; Marylore Chenel; Emilie Henin
Journal:  AAPS J       Date:  2016-06-21       Impact factor: 4.009

5.  Model-Based Adaptive Optimal Design (MBAOD) Improves Combination Dose Finding Designs: an Example in Oncology.

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6.  Antitumor efficacy testing in rodents.

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7.  Translational Framework Predicting Tumour Response in Gemcitabine-Treated Patients with Advanced Pancreatic and Ovarian Cancer from Xenograft Studies.

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8.  Preclinical to Clinical Translation of Antibody-Drug Conjugates Using PK/PD Modeling: a Retrospective Analysis of Inotuzumab Ozogamicin.

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9.  Modeling of tumor growth and anticancer effects of combination therapy.

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Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-04-22       Impact factor: 2.745

10.  Subacute oral toxicity study of ethanolic leaves extracts of Strobilanthes crispus in rats.

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Journal:  Asian Pac J Trop Biomed       Date:  2012-12
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