Literature DB >> 24771603

Population pharmacometric analyses of eribulin in patients with locally advanced or metastatic breast cancer previously treated with anthracyclines and taxanes.

Oneeb Majid1, Anubha Gupta, Larisa Reyderman, Martin Olivo, Ziad Hussein.   

Abstract

Pharmacometric investigation of eribulin was undertaken in patients with metastatic breast cancer (MBC) and other advanced solid tumors. A population pharmacokinetic (PK) model used data combined from seven phase 1 studies (advanced solid tumors; n = 129), and one phase 2 (MBC; n = 211), and one phase 3 study (MBC; n = 173). Phase 3 data were also used in a PK/pharmacodynamic (PD) model of efficacy and tumor response (sum of longest diameters of target lesions). All analyses used NONMEM 7.2. Eribulin PK, described by a dose-independent, three-compartment model with allometric relationship for body weight, was similar for all tumor types. Inter-individual variability (IIV) was 52% for both exposure and clearance. Liver function markers (albumin, alkaline phosphatase, bilirubin) significantly influenced eribulin PK (7.3% of IIV in clearance). Tumor shrinkage correlated with eribulin exposure; a 36% decrease in tumor size from baseline was modeled at week 36. No patient/disease factors significantly predicted eribulin's effect on tumor size. At week 6, a decrease in tumor size was associated with longer survival than an increase (P = .0055), suggesting survival may relate indirectly to eribulin exposure. These pharmacometric analyses provide a detailed overview of eribulin exposure-efficacy relationships to inform physicians treating patients with MBC.
© 2014, The American College of Clinical Pharmacology.

Entities:  

Keywords:  eribulin; metastatic breast cancer; pharmacodynamic; pharmacokinetic; tumor size

Mesh:

Substances:

Year:  2014        PMID: 24771603     DOI: 10.1002/jcph.315

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  9 in total

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2.  Integrated Simulation Framework for Toxicity, Dose Intensity, Disease Progression, and Cost Effectiveness for Castration-Resistant Prostate Cancer Treatment With Eribulin.

Authors:  J G C van Hasselt; A Gupta; Z Hussein; J H Beijnen; J H M Schellens; A D R Huitema
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3.  Disease Progression/Clinical Outcome Model for Castration-Resistant Prostate Cancer in Patients Treated With Eribulin.

Authors:  J G C van Hasselt; A Gupta; Z Hussein; J H Beijnen; J H M Schellens; A D R Huitema
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-06-30

4.  Pharmacokinetics of eribulin mesylate in cancer patients with normal and impaired renal function.

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Journal:  Cancer Chemother Pharmacol       Date:  2015-10-03       Impact factor: 3.333

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Review 6.  A Review of Mathematical Models for Tumor Dynamics and Treatment Resistance Evolution of Solid Tumors.

Authors:  Anyue Yin; Dirk Jan A R Moes; Johan G C van Hasselt; Jesse J Swen; Henk-Jan Guchelaar
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7.  Eribulin, Child-Pugh score, and liver-function tests: lessons from pivotal breast cancer studies 301 and 305.

Authors:  Iain R Macpherson; Yaohua He; Carlo Palmieri
Journal:  Breast Cancer Res       Date:  2021-03-18       Impact factor: 6.466

8.  Emerging roles for clinical pharmacometrics in cancer precision medicine.

Authors:  Sujit Nair; Ah-Ng Tony Kong
Journal:  Curr Pharmacol Rep       Date:  2018-04-20

9.  Pharmacodynamic analysis of eribulin safety in breast cancer patients using real-world postmarketing surveillance data.

Authors:  Takahisa Kawamura; Hidefumi Kasai; Valentina Fermanelli; Toshiaki Takahashi; Yukinori Sakata; Toshiyuki Matsuoka; Mika Ishii; Yusuke Tanigawara
Journal:  Cancer Sci       Date:  2018-07-23       Impact factor: 6.716

  9 in total

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