Related Experiment Video
Updated: Jan 6, 2026

A Melanoma Patient-Derived Xenograft Model
Published on: May 20, 2019
Melanoma plasticity and phenotypic diversity: therapeutic barriers and opportunities
Florian Rambow1,2, Jean-Christophe Marine1,2, Colin R Goding3
1Laboratory for Molecular Cancer Biology, Center for Cancer Biology, Vlaams Instituut voor Biotechnologie (VIB), Herestraat 49, 3000 Leuven, Belgium.
Abstract:
An incomplete view of the mechanisms that drive metastasis, the primary cause of cancer-related death, has been a major barrier to development of effective therapeutics and prognostic diagnostics. Increasing evidence indicates that the interplay between microenvironment, genetic lesions, and cellular plasticity drives the metastatic cascade and resistance to therapies. Here, using melanoma as a model, we outline the diversity and trajectories of cell states during metastatic dissemination and therapy exposure, and highlight how understanding the magnitude and dynamics of nongenetic reprogramming in space and time at single-cell resolution can be exploited to develop therapeutic strategies that capitalize on nongenetic tumor evolution.
Insights
Understanding cancer metastasis, the main cause of cancer death, requires studying cell state changes. This research reveals how non-genetic factors drive tumor evolution and resistance, offering new therapeutic strategies.
Area of Science:
- Oncology
- Cancer Biology
- Metastasis Research
Background:
- Metastasis is the primary cause of cancer mortality, yet its underlying mechanisms remain incompletely understood.
- Effective therapeutics and prognostic diagnostics for cancer metastasis are hindered by this knowledge gap.
- The interplay of microenvironment, genetic mutations, and cellular plasticity is increasingly recognized as a driver of metastasis and therapy resistance.
Purpose of the Study:
- To elucidate the diversity and dynamic trajectories of cell states during melanoma metastatic dissemination.
- To investigate cell state changes in response to therapeutic interventions.
- To highlight the potential of exploiting non-genetic reprogramming for developing novel cancer therapies.
Main Methods:
- Utilized melanoma as a model system to study metastatic processes.
- Employed single-cell resolution techniques to analyze cell states.
- Investigated the dynamics of non-genetic reprogramming in space and time.
Main Results:
- Characterized diverse cell states and their trajectories during melanoma metastasis.
- Observed significant cellular plasticity in response to metastatic dissemination and therapy.
- Demonstrated the importance of non-genetic factors in driving tumor evolution and treatment resistance.
Conclusions:
- Understanding the non-genetic reprogramming of cancer cells is crucial for combating metastasis.
- Targeting non-genetic tumor evolution offers a promising avenue for developing effective anti-metastatic therapies.
- Single-cell analysis provides critical insights into the complexity of metastatic processes and therapeutic resistance.
Related Concept Videos
Skin Cancer
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Treatment Resistant Cancers

