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A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
Published on: March 8, 2022
Melanoma biomolecules: independently identified but functionally intertwined
Danielle E Dye1, Sandra Medic, Mel Ziman
1School of Biomedical Science & Curtin Health Innovation Research Institute, Faculty of Health, Curtin University , Perth, WA , Australia.
Frontiers in Oncology
|September 27, 2013
Summary
Identifying patients with early melanoma at risk of recurrence is crucial. This review examines five biomarkers—MCAM, galectin-3, MMP-2, CSPG4, and PAX3—and their interconnected roles in melanoma metastasis.
Area of Science:
- Oncology
- Molecular Biology
- Dermatology
Background:
- Early-stage melanoma (<1mm) has a good prognosis, but 5% of patients experience recurrence and mortality within 10 years.
- Current prognostic markers for melanoma are often insufficient when used individually.
- Identifying patients at high risk for recurrent melanoma necessitates novel prognostic markers.
Purpose of the Study:
- To review the roles of five key biomarkers in melanoma biology and metastasis.
- To explore the potential of a combination of interacting proteins as prognostic markers for melanoma.
- To provide context on melanoma cell adhesion molecule (MCAM), galectin-3 (gal-3), matrix metalloproteinase 2 (MMP-2), chondroitin sulfate proteoglycan 4 (CSPG4), and paired box 3 (PAX3).
Main Methods:
- Literature review and meta-analysis of studies on gene and protein expression in melanoma.
- Analysis of individual and combined roles of five putative biomarkers in melanoma metastasis.
- Focus on proteins regulating different aspects of the metastatic pathway.
Main Results:
- Each of the five biomarkers (MCAM, galectin-3, MMP-2, CSPG4, PAX3) has been independently identified as a potential prognostic marker.
- These biomarkers are interconnected and play intertwined roles in melanoma biology and metastasis.
- A combination of interacting proteins involved in multiple metastatic stages may offer improved prognostic value.
Conclusions:
- Individual biomarkers have limited prognostic value in melanoma.
- Analyzing a panel of interacting biomarkers offers a promising approach for identifying high-risk melanoma patients.
- Further research into the combined roles of MCAM, galectin-3, MMP-2, CSPG4, and PAX3 is warranted for improved melanoma prognostication.

