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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...

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Autores principales: Rizzetto, Giulio, Lucarini, Guendalina, De Simoni, Edoardo, Molinelli, Elisa, Mattioli-Belmonte, Monica, Offidani, Annamaria, Simonetti, Oriana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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