Your browser doesn't support javascript.
loading
A Population Dynamic Energy Budget-Based Tumor Growth Inhibition Model for Etoposide Effects on Wistar Rats.
Tosca, E M; Pigatto, M C; Dalla Costa, T; Magni, P.
Afiliação
  • Tosca EM; Dipartimento di Ingegneria Industriale e dell'Informazione, Universita degli Studi di Pavia, I-27100, Pavia, Italy.
  • Pigatto MC; Pharmacokinetics and PK/PD Modeling Laboratory, Pharmaceutical Sciences Graduate Program, Faculty of Pharmacy, Federal University of Rio Grande do Sul, Porto Alegre, RS, 90.610-000, Brazil.
  • Dalla Costa T; R&D Department, Eurofarma Laboratories S.A., Itapevi, SP, 06, Brazil.
  • Magni P; Pharmacokinetics and PK/PD Modeling Laboratory, Pharmaceutical Sciences Graduate Program, Faculty of Pharmacy, Federal University of Rio Grande do Sul, Porto Alegre, RS, 90.610-000, Brazil.
Pharm Res ; 36(3): 38, 2019 Jan 11.
Article em En | MEDLINE | ID: mdl-30635794
ABSTRACT

PURPOSE:

This work aimed to develop a population PK/PD tumor-in-host model able to describe etoposide effects on both tumor cells and host in Walker-256 tumor-bearing rats.

METHODS:

Etoposide was investigated on thirty-eight Wistar rats randomized in five arms two groups of tumor-free animals receiving either placebo or etoposide (10 mg/kg bolus for 4 days) and three groups of tumor-bearing animals receiving either placebo or etoposide (5 or 10 mg/kg bolus for 8 or 4 days, respectively). To analyze experimental data, a tumor-in-host growth inhibition (TGI) model, based on the Dynamic Energy Budget (DEB) theory, was developed. Total plasma and free-interstitial tumor etoposide concentrations were assessed as driver of tumor kinetics.

RESULTS:

The model simultaneously describes tumor and host growths, etoposide antitumor effect as well as cachexia phenomena related to both the tumor and the drug treatment. The schedule-dependent inhibitory effect of etoposide is also well captured when the intratumoral drug concentration is considered as the driver of the tumor kinetics.

CONCLUSIONS:

The DEB-based TGI model capabilities, up to now assessed only in mice, are fully confirmed in this study involving rats. Results suggest that well designed experiments combined with a mechanistic modeling approach could be extremely useful to understand drug effects and to describe all the dynamics characterizing in vivo tumor growth studies.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Etoposídeo / Antineoplásicos Fitogênicos Tipo de estudo: Clinical_trials / Health_economic_evaluation Limite: Animals / Humans / Male Idioma: En Revista: Pharm Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Etoposídeo / Antineoplásicos Fitogênicos Tipo de estudo: Clinical_trials / Health_economic_evaluation Limite: Animals / Humans / Male Idioma: En Revista: Pharm Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Itália