Literature DB >> 33076517

Physiologically-Based Pharmacokinetic/Pharmacodynamic Model of MBQ-167 to Predict Tumor Growth Inhibition in Mice.

Javier Reig-López1, María Del Mar Maldonado2, Matilde Merino-Sanjuan1,3, Ailed M Cruz-Collazo2, Jean F Ruiz-Calderón2, Victor Mangas-Sanjuán1,3, Suranganie Dharmawardhane2, Jorge Duconge4.   

Abstract

MBQ-167 is a dual inhibitor of the Rho GTPases Rac and Cdc42 that has shown promising results as an anti-cancer therapeutic at the preclinical stage. This drug has been tested in vitro and in vivo in metastatic breast cancer mouse models. The aim of this study is to develop a physiologically based pharmacokinetic/pharmacodynamic (PBPK-PD) model of MBQ-167 to predict tumor growth inhibition following intraperitoneal (IP) administration in mice bearing Triple Negative and HER2+ mammary tumors. PBPK and Simeoni tumor growth inhibition (TGI) models were developed using the Simcyp V19 Animal Simulator. Our developed PBPK framework adequately describes the time course of MBQ-167 in each of the mouse tissues (e.g., lungs, heart, liver, kidneys, spleen, plasma) and tumor, since the predicted results were consistent with the experimental data. The developed PBPK-PD model successfully predicts tumor shrinkage in HER2+ and triple-negative breast tumors after the intraperitoneal administration of 1 and 10 mg/kg body weight (BW) dose level of MBQ-167 three times a week. The findings from this study suggest that MBQ-167 has a higher net effect and potency inhibiting Triple Negative mammary tumor growth compared to HER2+ and that liver metabolism is the major route of elimination of this drug.

Entities:  

Keywords:  MBQ-167; Rac inhibitor; breast cancer; physiologically based pharmacokinetic modeling

Year:  2020        PMID: 33076517      PMCID: PMC7602742          DOI: 10.3390/pharmaceutics12100975

Source DB:  PubMed          Journal:  Pharmaceutics        ISSN: 1999-4923            Impact factor:   6.321


  35 in total

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

Authors:  Monica Simeoni; Paolo Magni; Cristiano Cammia; Giuseppe De Nicolao; Valter Croci; Enrico Pesenti; Massimiliano Germani; Italo Poggesi; Maurizio Rocchetti
Journal:  Cancer Res       Date:  2004-02-01       Impact factor: 12.701

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9.  The Rac Inhibitor EHop-016 Inhibits Mammary Tumor Growth and Metastasis in a Nude Mouse Model.

Authors:  Linette Castillo-Pichardo; Tessa Humphries-Bickley; Columba De La Parra; Ingrid Forestier-Roman; Magaly Martinez-Ferrer; Eliud Hernandez; Cornelis Vlaar; Yancy Ferrer-Acosta; Anthony V Washington; Luis A Cubano; Jose Rodriguez-Orengo; Suranganie Dharmawardhane
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10.  Therapeutic sensitivity to Rac GTPase inhibition requires consequential suppression of mTORC1, AKT, and MEK signaling in breast cancer.

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  2 in total

1.  Efficacy of Rac and Cdc42 Inhibitor MBQ-167 in Triple-negative Breast Cancer.

Authors:  Ailed Cruz-Collazo; Jean F Ruiz-Calderon; Hector Picon; Luis D Borrero-Garcia; Irmaris Lopez; Linette Castillo-Pichardo; Maria Del Mar Maldonado; Jorge Duconge; Julia I Medina; Marvin J Bayro; Eliud Hernández-O'Farrill; Cornelis P Vlaar; Suranganie Dharmawardhane
Journal:  Mol Cancer Ther       Date:  2021-10-04       Impact factor: 6.009

2.  In Vitro/In Vivo Translation of Synergistic Combination of MDM2 and MEK Inhibitors in Melanoma Using PBPK/PD Modelling: Part II.

Authors:  Jakub Witkowski; Sebastian Polak; Zbigniew Rogulski; Dariusz Pawelec
Journal:  Int J Mol Sci       Date:  2022-10-08       Impact factor: 6.208

  2 in total

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