Literature DB >> 26946136

Revisiting Dosing Regimen Using Pharmacokinetic/Pharmacodynamic Mathematical Modeling: Densification and Intensification of Combination Cancer Therapy.

Christophe Meille1,2, Dominique Barbolosi1, Joseph Ciccolini1, Gilles Freyer3,4,5, Athanassios Iliadis6.   

Abstract

Controlling effects of drugs administered in combination is particularly challenging with a densified regimen because of life-threatening hematological toxicities. We have developed a mathematical model to optimize drug dosing regimens and to redesign the dose intensification-dose escalation process, using densified cycles of combined anticancer drugs. A generic mathematical model was developed to describe the main components of the real process, including pharmacokinetics, safety and efficacy pharmacodynamics, and non-hematological toxicity risk. This model allowed for computing the distribution of the total drug amount of each drug in combination, for each escalation dose level, in order to minimize the average tumor mass for each cycle. This was achieved while complying with absolute neutrophil count clinical constraints and without exceeding a fixed risk of non-hematological dose-limiting toxicity. The innovative part of this work was the development of densifying and intensifying designs in a unified procedure. This model enabled us to determine the appropriate regimen in a pilot phase I/II study in metastatic breast patients for a 2-week-cycle treatment of docetaxel plus epirubicin doublet, and to propose a new dose-ranging process. In addition to the present application, this method can be further used to achieve optimization of any combination therapy, thus improving the efficacy versus toxicity balance of such a regimen.

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Year:  2016        PMID: 26946136     DOI: 10.1007/s40262-016-0374-7

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  43 in total

1.  Mathematics and oncology: a match for life?

Authors:  Martine J Piccart-Gebhart
Journal:  J Clin Oncol       Date:  2003-02-13       Impact factor: 44.544

2.  Pharmacokinetic/pharmacodynamic modeling of pegfilgrastim in healthy subjects.

Authors:  Lorin K Roskos; Peggy Lum; Pamela Lockbaum; Gisela Schwab; Bing-Bing Yang
Journal:  J Clin Pharmacol       Date:  2006-07       Impact factor: 3.126

3.  A phase II trial of high dose epirubicin in patients with advanced breast carcinoma.

Authors:  D K Miller; N Munshi; D Loesch; L E Einhorn; G W Sledge
Journal:  Cancer       Date:  2000-01-15       Impact factor: 6.860

4.  Epirubicin--docetaxel combination in first-line chemotherapy for patients with metastatic breast cancer: final results of a dose-finding and efficacy study.

Authors:  P Viens; H Roché; P Kerbrat; P Fumoleau; J P Guastalla; T Delozier
Journal:  Am J Clin Oncol       Date:  2001-08       Impact factor: 2.339

5.  Bayesian pharmacokinetically guided dosing of paclitaxel in patients with non-small cell lung cancer.

Authors:  Milly E de Jonge; H J G Desirée van den Bongard; Alwin D R Huitema; Ron A A Mathôt; Hilde Rosing; Paul Baas; Nico van Zandwijk; Jos H Beijnen; Jan H M Schellens
Journal:  Clin Cancer Res       Date:  2004-04-01       Impact factor: 12.531

6.  New adaptive method for phase I trials in oncology.

Authors:  C Meille; J C Gentet; D Barbolosi; N André; F Doz; A Iliadis
Journal:  Clin Pharmacol Ther       Date:  2007-10-24       Impact factor: 6.875

7.  Epirubicin plus docetaxel in metastatic breast cancer: escalating dose does not improve efficacy. A phase II study.

Authors:  Alessandra Fabi; Paola Papaldo; Maria Simona Pino; Gianluigi Ferretti; Paolo Carlini; Umberto Pacetti; Serena Di Cosimo; Chiara Nardoni; Diana Giannarelli; Italo Sacchi; Francesco Cognetti
Journal:  Anticancer Res       Date:  2004 May-Jun       Impact factor: 2.480

8.  Docetaxel and epirubicin supported by granulocyte colony-stimulating factor first-line in advanced breast cancer.

Authors:  Aristides Polyzos; Nicholas Tsavaris; Christos Kosmas; Helen Gogas; Maria Vadiaka; Christos Markopoulos; Athanasios Giannopoulos; Nicholas Kalahanis; Demetrios Stamatiadis; Gregory Kouraklis; Gabriel Karatzas; Christos Liapis; Konstantinos Syrigos
Journal:  Anticancer Res       Date:  2003 May-Jun       Impact factor: 2.480

9.  Neo-adjuvant therapy with dose-dense docetaxel plus short-term filgrastim rescue for locally advanced breast cancer.

Authors:  Paolo Alberto Paciucci; George Raptis; Ira Bleiweiss; Christina Weltz; Deborah Lehrer; Rita Gurry
Journal:  Anticancer Drugs       Date:  2002-09       Impact factor: 2.248

10.  Personalising docetaxel and G-CSF schedules in cancer patients by a clinically validated computational model.

Authors:  O Vainas; S Ariad; O Amir; W Mermershtain; V Vainstein; M Kleiman; O Inbar; R Ben-Av; A Mukherjee; S Chan; Z Agur
Journal:  Br J Cancer       Date:  2012-07-19       Impact factor: 7.640

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  7 in total

1.  Mechanistic models for hematological toxicities: Small is beautiful.

Authors:  Laure Deyme; Sébastien Benzekry; Joseph Ciccolini
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-02-27

2.  Modeling therapeutic response to radioiodine in metastatic thyroid cancer: a proof-of-concept study for individualized medicine.

Authors:  Dominique Barbolosi; Ilyssa Summer; Christophe Meille; Raphaël Serre; Antony Kelly; Slimane Zerdoud; Claire Bournaud; Claire Schvartz; Michel Toubeau; Marie-Elisabeth Toubert; Isabelle Keller; David Taïeb
Journal:  Oncotarget       Date:  2017-06-13

3.  Model driven optimization of antiangiogenics + cytotoxics combination: application to breast cancer mice treated with bevacizumab + paclitaxel doublet leads to reduced tumor growth and fewer metastasis.

Authors:  Severine Mollard; Joseph Ciccolini; Diane-Charlotte Imbs; Raouf El Cheikh; Dominique Barbolosi; Sebastien Benzekry
Journal:  Oncotarget       Date:  2017-04-04

4.  Mathematical optimisation of the cisplatin plus etoposide combination for managing extensive-stage small-cell lung cancer patients.

Authors:  C Faivre; R El Cheikh; D Barbolosi; F Barlesi
Journal:  Br J Cancer       Date:  2017-01-12       Impact factor: 7.640

5.  Optimal dynamic regimens with artificial intelligence: The case of temozolomide.

Authors:  Nicolas Houy; François Le Grand
Journal:  PLoS One       Date:  2018-06-26       Impact factor: 3.240

6.  Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach.

Authors:  Madeleine Benguigui; Dror Alishekevitz; Michael Timaner; Dvir Shechter; Ziv Raviv; Sebastien Benzekry; Yuval Shaked
Journal:  Oncotarget       Date:  2017-12-20

7.  Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors.

Authors:  Cristina Vaghi; Anne Rodallec; Raphaëlle Fanciullino; Joseph Ciccolini; Jonathan P Mochel; Michalis Mastri; Clair Poignard; John M L Ebos; Sébastien Benzekry
Journal:  PLoS Comput Biol       Date:  2020-02-25       Impact factor: 4.475

  7 in total

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