Towards Rational Cancer Therapeutics: Optimizing Dosing, Delivery, Scheduling, and Combinations
Florent Ferrer1, Raphaelle Fanciullino1, Gérard Milano2
1SMARTc Unit, CRCM Inserm U1068, Aix Marseille Univ and APHM, Marseille, France.
Clinical Pharmacology and Therapeutics
|June 20, 2020
Summary
Personalizing cancer treatment involves tailoring drug administration, not just drug selection. Adapting dosing strategies based on individual patient factors optimizes efficacy and minimizes toxicity for better outcomes.
Area of Science:
- Oncology
- Pharmacology
- Personalized Medicine
Background:
- Current personalized anticancer therapies focus on drug selection based on tumor genetics.
- Significant improvements are possible by personalizing drug administration methods.
- Tailored dosing aims to maintain optimal drug exposure within the therapeutic window.
Purpose of the Study:
- To review pharmacokinetic/pharmacodynamic relationships of anticancer agents.
- To identify sources of interpatient variability affecting drug exposure.
- To explore strategies for achieving personalized dosing in oncology.
Main Methods:
- Review of current knowledge on pharmacokinetic/pharmacodynamic (PK/PD) relationships.
- Analysis of interpatient variability in drug exposure for various anticancer agents.
- Discussion of adaptive dosing strategies and model-driven approaches.
Main Results:
- PK/PD relationships are crucial for optimizing anticancer agent efficacy and toxicity.
- Interpatient variability significantly impacts drug exposure levels.
- Therapeutic drug monitoring and adaptive dosing can enhance personalized medicine.
Conclusions:
- Personalized dosing, beyond drug selection, is key to optimizing cancer therapy.
- Understanding PK/PD and interpatient variability is essential for tailored treatment.
- Implementing therapeutic drug monitoring and model-driven strategies will advance personalized oncology.
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