Literature DB >> 27002506

Revisiting dosing regimen using PK/PD modeling: the MODEL1 phase I/II trial of docetaxel plus epirubicin in metastatic breast cancer patients.

Emilie Hénin1,2, Christophe Meille3,4, Dominique Barbolosi3, Benoit You1,2,5, Jérôme Guitton1,2,6, Athanassios Iliadis7, Gilles Freyer1,2,5.   

Abstract

The MODEL1 trial is the first model-driven phase I/II dose-escalation study of densified docetaxel plus epirubicin administration in metastatic breast cancer patients, a regimen previously known to induce unacceptable life-threatening toxicities. The primary objective was to determine the maximum tolerated dose of this densified regimen. Study of the efficacy was a secondary objective. Her2-negative, hormone-resistant metastatic breast cancer patients were treated with escalating doses of docetaxel plus epirubicin every 2 weeks for six cycles with granulocyte colony stimulating factor support. A total of 16 patients were treated with total doses ranging from 85 to 110 mg of docetaxel plus epirubicin per cycle. Dose escalation was controlled by a non-hematological toxicity model. Dose densification was guided by a model of neutrophil kinetics, able to optimize docetaxel plus epirubicin dosing with respect to pre-defined acceptable levels of hematological toxicity while ensuring maximal efficacy. The densified treatment was safe since hematological toxicity was much lower compared to previous findings, and other adverse events were consistent with those observed with this regimen. The maximal tolerated dose was 100 mg given every 2 weeks. The response rate was 45 %; median progression-free survival was 10.4 months, whereas 54.6 months of median overall survival was achieved. The optimized docetaxel plus epirubicin dosing regimen led to fewer toxicities associated with higher efficacy as compared with standard or empirical densified dosing. This study suggests that model-driven dosage adjustment can lead to improved efficacy-toxicity balance in patients with cancer when several anticancer drugs are combined.

Entities:  

Keywords:  Densification; Dosing regimen optimization; Drug combination; Intensification; PK/PD modeling

Mesh:

Substances:

Year:  2016        PMID: 27002506     DOI: 10.1007/s10549-016-3760-9

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  5 in total

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

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Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-02-27

2.  Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory.

Authors:  Mark Gluzman; Jacob G Scott; Alexander Vladimirsky
Journal:  Proc Biol Sci       Date:  2020-04-22       Impact factor: 5.530

3.  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

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

  5 in total

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