Objective
- Interpatient differences in the dose-response relationship for cytotoxic drug therapy in ovarian and breast cancer by applying a population PK-PD approach. Breast and ovarian cancer have been chosen as examples of common chemo sensitive yet often incurable tumours.
- Quantitative relationships between interpatient differences in the exposure to anticancer agents and toxicities of the therapy.
- Whether patients should benefit from individualized drug treatment.
- Subpopulations of patients for which anticancer therapy has a low likelihood of tumour response, using a panel of tumour related pharmacodynamic markers (p53, Her-2/neu ER/PR, EGFR, LRP).
- Subpopulations of patients which are particularly at risk; for the development of severe side effects.
Patients with locally advanced or metastatic solid tumours vary widely in their response and tolerance of systemic therapy with anticancer agents. The variability in the dose-response and dose-toxicity relationship is determined by both pharmacokinetic (PK) and pharmacodynamic (PD) (tumour and end-organ related factors respectively). Application of the 'population approach' for characterization of variability in dose-response and dose-toxicity relationships as well as new insights in mechanisms of anticancer drug resistance, form the basis for the current large scale clinical-pharmacologic studies in patients with solid tumours. The studies will be carried out within the framework of the PAMM and ECSG and IDBBC-group of the EORTC. The population approach offers the possibility of gaining integrated information on PK, PD and response from sparse observational data and allows analysis of a variety of unbalanced study designs. Recent in vitro and in vivo studies have revealed that estrogen/progesteron (ER/PR) receptor status and overexpression of lung resistance protein (LRP), epidermal growth factor receptor (EGFR) or (mutant) oncogenes, such as p53 and Her-2/neu may cause resistance to anticancer agents in breast or ovarian cancer. We propose to apply the population approach in phase III/IV studies in ovarian and breast cancer using NONMEM (nonlinear mixed effect models, USF, CA USA). We will implement procedures for crossvalidation of analytical and biologic methods to prevent methodological bias. We define the following covariates for population PK analysis body weight, WHO performance score, age, albumin, renal, liver and bone marrow function, comedication; and add tumour stage, differentiation, TNM classification and p53, Her-2/neu ER/PR, LRP and EGFR tumour status for population PK-PD analysis
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences biochemistry biomolecules proteins
- medical and health sciences basic medicine pharmacology and pharmacy drug resistance
- medical and health sciences clinical medicine oncology breast cancer
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Coordinator
1066 CX AMSTERDAM
Netherlands
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Participants (20)
3075 EA Rotterdam
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9713 EZ Groningen
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06189 Nice
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31052 Toulouse
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69373 Lyon
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92210 saint cloud
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1081 JC Amsterdam
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OX3 9DS OXFORD/HEADINGTON
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33076 BORDEAUX
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33081 Aviano
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3000 Leuven
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1066 EC AMSTERDAM
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40136 BOLOGNA
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AB9 2ZD Aberdeen
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G12 8QQ Glasgow
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45110 Ioannina
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NE2 4HH Newcastle upon Tyne
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1000 BRUXELLES
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751 23 Uppsala
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1081 HV AMSTERDAM
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