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Updated: Mar 27, 2026

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
Published on: March 8, 2022
Proteomics approaches to understanding mitogen-activated protein kinase inhibitor resistance in melanoma
Verena Paulitschke1, Ossia Eichhoff, Phil F Cheng
1aDepartment of Dermatology, Medical University of Vienna, Vienna, Austria bInstitute of Molecular Systems Biology, ETH Zurich, Switzerland cDepartment of Dermatology, University of Zurich Hospital, University of Zurich, Zurich, Switzerland.
Purpose Of Review:
BRAF inhibitors achieve outstanding clinical response rates in BRAF-mutated melanoma patients but therapeutic resistance is common. Although combinatorial targeted therapy has recently improved patient survival, resistance still occurs, which might be because of the plasticity and heterogeneity of melanoma. Proteomics complements the mostly genomics-based approaches used so far to gain additional insights into the pathophysiological mechanisms driving melanoma progression under treatment.
Recent Findings:
Few proteomics studies have investigated mitogen-activated protein kinase inhibitor (MAPKi) resistance. Three technologies have been described: shotgun analysis, pressure cycling technology-sequential window acquisition of all theoretical masses (which offers an optimized protein extraction by the pressure cycling technology), and selected reaction monitoring for selected candidate evaluation. Preliminary data demonstrate that BRAFi resistance might be associated with enhanced expression of the lysosomal compartment, cell adhesion, and epithelial-mesenchymal transformation. Melanoma cells change their phenotypes in response to targeted therapy with MAPKi from a proliferative to an invasive state gaining epithelial-mesenchymal transformation features, which are associated with drug resistance.
Summary:
Performing proteomics may lead to an enhanced understanding of the underlying mechanisms of MAPKi resistance and might offer new insights for rational therapies. Selected reaction monitoring can be used to evaluate predictive or pharmacodynamic biomarkers for tracking therapeutic responses and identifying early features of resistance.
Insights
Proteomics reveals mechanisms of BRAF inhibitor resistance in melanoma. Melanoma cells adapt to targeted therapy by becoming invasive, highlighting the need for new treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Proteomics
Background:
- BRAF inhibitors (BRAFi) are effective against BRAF-mutated melanoma but resistance is a significant clinical challenge.
- Melanoma's plasticity and heterogeneity contribute to therapeutic resistance, necessitating advanced analytical approaches.
- Proteomics offers complementary insights beyond genomics to understand melanoma progression during treatment.
Purpose of the Study:
- To explore the role of proteomics in understanding mitogen-activated protein kinase inhibitor (MAPKi) resistance in melanoma.
- To identify pathophysiological mechanisms driving melanoma progression under targeted therapy using proteomic approaches.
Main Methods:
- Review of proteomics studies investigating MAPKi resistance.
- Description of technologies including shotgun analysis, pressure cycling technology-sequential window acquisition of all theoretical masses, and selected reaction monitoring.
- Analysis of preliminary data linking protein expression changes to drug resistance.
Main Results:
- Melanoma cells undergoing MAPKi treatment exhibit phenotypic changes from proliferative to invasive states.
- Acquisition of epithelial-mesenchymal transformation features is associated with acquired drug resistance.
- Preliminary findings suggest BRAFi resistance correlates with increased expression in the lysosomal compartment and cell adhesion pathways.
Conclusions:
- Proteomics can enhance the understanding of MAPKi resistance mechanisms in melanoma.
- Proteomic insights may guide the development of novel therapeutic strategies.
- Selected reaction monitoring holds potential for evaluating predictive biomarkers and early detection of resistance.
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