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Updated: Apr 1, 2026

A 3D Organotypic Melanoma Spheroid Skin Model
Published on: May 18, 2018
Disease kinetics for decision-making in advanced melanoma: a call for scenario-driven strategy trials
Jean Jacques Grob1, Georgina V Long2, Dirk Schadendorf3
1Aix-Marseille University and APHM Hospital CHU Timone, Marseille, France.
Abstract:
In the past 5 years, the treatment of metastatic melanoma has changed from almost no effective treatment to the use of targeted and immune therapies with proven improvements in survival. The time has now come to define the optimal drug combinations, sequence of treatment, and drug regimens (intermittent vs continuous dosing) in the treatment of patients with metastatic melanoma. In view of the prevalence of advanced melanoma, finite resources, and the heterogeneity of disease characteristics, not all possibilities can be tested in therapeutic trials starting from an unselected population of patients with metastatic melanoma. In practice, clinicians rely on a few clinically derived signals, especially dynamic signals, to categorise patients into scenarios, from fast disease kinetics to slow disease kinetics, which drive clinicians' therapeutic decision making. The realistic goals of therapy are different in each scenario. We recommend that these scenarios are incorporated into clinical trials as either patient inclusion criteria or stratification factors. This approach is not only feasible but is also the only way to generate evidence for more effective and individualised treatment strategies for patients with metastatic melanoma.
Insights
Optimizing metastatic melanoma treatment requires defining ideal drug combinations and regimens. Incorporating patient disease kinetics into clinical trials is crucial for developing personalized, effective therapies.
Area of Science:
- Oncology
- Clinical Pharmacology
Background:
- Metastatic melanoma treatment has significantly advanced with targeted and immune therapies, improving survival.
- Optimal drug combinations, treatment sequencing, and dosing regimens remain undefined.
- Patient heterogeneity and resource limitations necessitate refined clinical trial designs.
Purpose of the Study:
- To propose a framework for optimizing treatment strategies in metastatic melanoma.
- To advocate for the integration of patient-specific disease kinetics into clinical trial design.
Main Methods:
- The study proposes incorporating clinically derived signals, specifically dynamic disease kinetics, into trial design.
- Recommends using these scenarios as patient inclusion criteria or stratification factors.
Main Results:
- This approach allows for the generation of evidence tailored to different patient scenarios (fast vs. slow disease kinetics).
- Facilitates the development of individualized treatment strategies for metastatic melanoma.
Conclusions:
- Incorporating patient disease kinetics into clinical trials is essential for advancing personalized medicine in metastatic melanoma.
- This strategy is feasible and represents the most effective path toward evidence-based, individualized treatment.
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