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Updated: Mar 6, 2026

A 3D Organotypic Melanoma Spheroid Skin Model
Published on: May 18, 2018
Metastatic melanoma moves on: translational science in the era of personalized medicine
Mitchell P Levesque1, Phil F Cheng2, Marieke I G Raaijmakers2
1Department of Dermatology, University of Zurich, University of Zurich Hospital, Gloriastrasse 31, CH-8091, Zurich, Switzerland. Mitchell.Levesque@usz.ch.
Abstract:
Progress in understanding and treating metastatic melanoma is the result of decades of basic and translational research as well as the development of better in vitro tools for modeling the disease. Here, we review the latest therapeutic options for metastatic melanoma and the known genetic and non-genetic mechanisms of resistance to these therapies, as well as the in vitro toolbox that has provided the greatest insights into melanoma progression. These include next-generation sequencing technologies and more complex 2D and 3D cell culture models to functionally test the data generated by genomics approaches. The combination of hypothesis generating and hypothesis testing paradigms reviewed here will be the foundation for the next phase of metastatic melanoma therapies in the coming years.
Insights
Advances in metastatic melanoma treatment stem from research and improved in vitro models. Understanding resistance mechanisms and utilizing next-generation sequencing and advanced cell cultures will drive future therapies.
Area of Science:
- Oncology
- Cancer Research
- Melanoma Research
Background:
- Metastatic melanoma treatment has advanced due to decades of research.
- Improved in vitro models are crucial for understanding disease progression.
Purpose of the Study:
- To review current therapeutic options for metastatic melanoma.
- To discuss genetic and non-genetic resistance mechanisms.
- To highlight in vitro tools aiding melanoma research.
Main Methods:
- Review of latest therapeutic strategies.
- Analysis of genetic and non-genetic resistance mechanisms.
- Evaluation of in vitro tools like next-generation sequencing and advanced cell cultures (2D and 3D).
Main Results:
- Next-generation sequencing and complex cell models offer significant insights.
- These tools facilitate functional testing of genomic data.
- Understanding resistance is key to developing effective treatments.
Conclusions:
- The integration of hypothesis-generating and testing approaches is vital.
- Advanced in vitro models and genomic technologies will shape future melanoma therapies.
- Continued research is essential for overcoming treatment resistance.
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