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Analysis of Lymph Node Volume by Ultra-High-Frequency Ultrasound Imaging in the Braf/Pten Genetically Engineered Mouse Model of Melanoma
Published on: September 8, 2021
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Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma
Giulio Rizzetto1, Guendalina Lucarini2, Edoardo De Simoni1
1Clinic of Dermatology, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, 60126 Ancona, Italy.
International Journal of Molecular Sciences
|January 8, 2023
Summary
Identifying tissue biomarkers like VEGF, CD9, LYVE-1, D2-40, and 31-GEP can help predict lymph node invasiveness in cutaneous melanoma, especially for low-risk patients. These markers aid in deciding on sentinel lymph node (SLN) biopsy when clinical doubt exists.
Area of Science:
- Oncology
- Pathology
- Biomarker Research
Background:
- Cutaneous melanoma is an aggressive cancer with high risks of lymph node metastasis, distant spread, and recurrence.
- Accurate prediction of lymph node involvement is crucial for treatment decisions, particularly in cases currently deemed low-risk.
- Sentinel lymph node (SLN) biopsy is a key diagnostic tool, but its necessity in all cases is debated.
Purpose of the Study:
- To conduct a narrative literature review on tissue biomarkers for predicting lymph node invasiveness in cutaneous melanoma.
- To evaluate the utility of specific biomarkers, including vascular endothelium growth factors (VEGF), Tetraspanin CD9, LYVE-1, D2-40, and 31-GEP.
- To identify biomarkers that can refine risk stratification for SLN involvement.
Main Methods:
- Literature search for studies on tissue biomarkers and lymph node status in cutaneous melanoma.
- Review and synthesis of findings on VEGF, CD9, LYVE-1, D2-40, and 31-GEP.
- Analysis of biomarker performance in predicting SLN status and lymphovascular invasion.
Main Results:
- The 31-gene expression profile test (31-GEP) shows potential in distinguishing between low and high risk for positive SLN.
- VEGF receptor-3 and CD9 expression may serve as independent predictors of SLN positivity.
- LYVE-1 and D2-40 facilitate assessment of lymphovascular invasion, a predictor of SLN status.
Conclusions:
- Tissue biomarkers can aid clinicians in determining the need for SLN biopsy in cutaneous melanoma patients.
- Specific biomarkers like 31-GEP, VEGF receptor-3, CD9, LYVE-1, and D2-40 offer valuable prognostic information.
- Further research into these biomarkers may improve risk stratification and personalize treatment strategies for melanoma.

