Literature DB >> 32043246

Mechanistic Pharmacokinetic/Pharmacodynamic Model of Sunitinib and Dopamine in MCF-7/Adr Xenografts: Linking Cellular Heterogeneity to Tumour Burden.

Siyuan Wang1,2, Xiao Zhu1,3, Mengyi Han1, Fangran Hao1, Wei Lu1,4, Tianyan Zhou1,4.   

Abstract

The self-renewal and differentiation of cancer stem-like cells (CSCs) leads to cellular heterogeneity, causing one of the greatest challenges in cancer therapy. Growing evidence suggests that CSC-targeting therapy enhances the effect of concomitant antitumour therapy. To gain an in-depth understanding of this enhanced effect, the kinetic profile of estimated CSC frequency (the fraction of CSCs in tumour) was evaluated for in vivo characterization of cellular heterogeneity using sunitinib and dopamine as a paradigm combination therapy. Female MCF-7/Adr xenografted Balb/c nude mice were treated with sunitinib (p.o., 20 mg/kg) and dopamine (i.p., 50 mg/kg), alone or in combination. Estimated CSC frequency and tumour size were measured over time. Mechanistic PK/PD modelling was performed to quantitatively describe the relationship between drug concentration, estimated CSC frequency and tumour size. Sunitinib reduced tumour size by inducing apoptosis of differentiated tumour cells (DTCs) and enriched CSCs by stimulating its proliferation. Dopamine exhibited anti-CSC effects by suppressing the capacity of CSCs and inducing its differentiation. Simulation and animal studies indicated that concurrent administration was superior to sequential administration under current experimental conditions. Alongside tumour size, the current study provides mechanistic insights into the estimation of CSC frequency as an indicator for cellular heterogeneity. This forms the conceptual basis for in vivo characterization of other combination therapies in preclinical cancer studies.

Entities:  

Keywords:  Cancer stem-like cell; Cellular heterogeneity; Combination therapy; Pharmacokinetic/pharmacodynamic; Tumour burden

Mesh:

Substances:

Year:  2020        PMID: 32043246     DOI: 10.1208/s12248-020-0428-5

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  37 in total

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2.  Dopamine enhances the response of sunitinib in the treatment of drug-resistant breast cancer: Involvement of eradicating cancer stem-like cells.

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3.  Superiority of sequential versus concurrent administration of paclitaxel with etoposide in advanced non-small cell lung cancer: comparison of two Phase II trials.

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Journal:  Clin Cancer Res       Date:  1998-11       Impact factor: 12.531

4.  Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents.

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Journal:  Cancer Res       Date:  2004-02-01       Impact factor: 12.701

5.  Sunitinib: a VEGF and PDGF receptor protein kinase and angiogenesis inhibitor.

Authors:  Robert Roskoski
Journal:  Biochem Biophys Res Commun       Date:  2007-03-07       Impact factor: 3.575

6.  Mathematical model for chemotherapeutic drug efficacy in arresting tumour growth based on the cancer stem cell hypothesis.

Authors:  R Ganguly; I K Puri
Journal:  Cell Prolif       Date:  2007-06       Impact factor: 6.831

7.  Specific targeting and noninvasive imaging of breast cancer stem cells using single-walled carbon nanotubes as novel multimodality nanoprobes.

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Journal:  Nanomedicine (Lond)       Date:  2015-11-24       Impact factor: 5.307

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Authors:  R J Keizer; M O Karlsson; A Hooker
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9.  A simple mathematical model based on the cancer stem cell hypothesis suggests kinetic commonalities in solid tumor growth.

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Journal:  PLoS One       Date:  2012-02-17       Impact factor: 3.240

10.  A review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis.

Authors:  B Ribba; N H Holford; P Magni; I Trocóniz; I Gueorguieva; P Girard; C Sarr; M Elishmereni; C Kloft; L E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-05-07
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  4 in total

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Journal:  Pharmaceutics       Date:  2020-10-15       Impact factor: 6.321

2.  Pharmacokinetic-Pharmacodynamic Modeling of Tumor Targeted Drug Delivery Using Nano-Engineered Mesenchymal Stem Cells.

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4.  Kinetic Characteristics of Curcumin and Germacrone in Rat and Human Liver Microsomes: Involvement of CYP Enzymes.

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  4 in total

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