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Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma
Cutaneous melanoma is a severe neoplasm that shows early invasiveness of the lymph nodes draining the primary site, with increased risk of distant metastases and recurrence. The tissue biomarker identification could be a new frontier to predict the risk of early lymph node invasiveness, especially i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820052/ https://www.ncbi.nlm.nih.gov/pubmed/36613587 http://dx.doi.org/10.3390/ijms24010144 |
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author | Rizzetto, Giulio Lucarini, Guendalina De Simoni, Edoardo Molinelli, Elisa Mattioli-Belmonte, Monica Offidani, Annamaria Simonetti, Oriana |
author_facet | Rizzetto, Giulio Lucarini, Guendalina De Simoni, Edoardo Molinelli, Elisa Mattioli-Belmonte, Monica Offidani, Annamaria Simonetti, Oriana |
author_sort | Rizzetto, Giulio |
collection | PubMed |
description | Cutaneous melanoma is a severe neoplasm that shows early invasiveness of the lymph nodes draining the primary site, with increased risk of distant metastases and recurrence. The tissue biomarker identification could be a new frontier to predict the risk of early lymph node invasiveness, especially in cases considered by current guidelines to be at low risk of lymph node involvement and not requiring evaluation of the sentinel lymph node (SLN). For this reason, we present a narrative review of the literature, seeking to provide an overview of current tissue biomarkers, particularly vascular endothelium growth factors (VEGF), Tetraspanin CD9, lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1), D2-40, and gene expression profile test (31-GEP). Among these, 31-GEP seems to be able to provide a distinction between low or high risk for positive SLN classes. VEGF receptor-3 and CD9 expression may be independent predictors of positive SLN. Lastly, LYVE-1 and D2-40 allow an easier assessment of lymph vascular invasion, which can be considered a good predictor of SLN status. In conclusion, biomarkers to assess the lymph node status of cutaneous melanoma patients may play an important role in those cases where the clinician is in doubt whether or not to perform SLN biopsy. |
format | Online Article Text |
id | pubmed-9820052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98200522023-01-07 Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma Rizzetto, Giulio Lucarini, Guendalina De Simoni, Edoardo Molinelli, Elisa Mattioli-Belmonte, Monica Offidani, Annamaria Simonetti, Oriana Int J Mol Sci Review Cutaneous melanoma is a severe neoplasm that shows early invasiveness of the lymph nodes draining the primary site, with increased risk of distant metastases and recurrence. The tissue biomarker identification could be a new frontier to predict the risk of early lymph node invasiveness, especially in cases considered by current guidelines to be at low risk of lymph node involvement and not requiring evaluation of the sentinel lymph node (SLN). For this reason, we present a narrative review of the literature, seeking to provide an overview of current tissue biomarkers, particularly vascular endothelium growth factors (VEGF), Tetraspanin CD9, lymphatic vessel endothelial hyaluronan receptor-1 (LYVE-1), D2-40, and gene expression profile test (31-GEP). Among these, 31-GEP seems to be able to provide a distinction between low or high risk for positive SLN classes. VEGF receptor-3 and CD9 expression may be independent predictors of positive SLN. Lastly, LYVE-1 and D2-40 allow an easier assessment of lymph vascular invasion, which can be considered a good predictor of SLN status. In conclusion, biomarkers to assess the lymph node status of cutaneous melanoma patients may play an important role in those cases where the clinician is in doubt whether or not to perform SLN biopsy. MDPI 2022-12-21 /pmc/articles/PMC9820052/ /pubmed/36613587 http://dx.doi.org/10.3390/ijms24010144 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Rizzetto, Giulio Lucarini, Guendalina De Simoni, Edoardo Molinelli, Elisa Mattioli-Belmonte, Monica Offidani, Annamaria Simonetti, Oriana Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma |
title | Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma |
title_full | Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma |
title_fullStr | Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma |
title_full_unstemmed | Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma |
title_short | Tissue Biomarkers Predicting Lymph Node Status in Cutaneous Melanoma |
title_sort | tissue biomarkers predicting lymph node status in cutaneous melanoma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820052/ https://www.ncbi.nlm.nih.gov/pubmed/36613587 http://dx.doi.org/10.3390/ijms24010144 |
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