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High Incidence of Isolated Tumor Cells in Sentinel Node Biopsies of Thin Melanomas: A Potential Factor in the Paradoxical Prognosis of Stage IIIA Cutaneous Melanoma?

Authors :
Andrea Ronchi
Giuseppe D’Abbronzo
Emma Carraturo
Giuseppe Argenziano
Gabriella Brancaccio
Camila Scharf
Elvira Moscarella
Teresa Troiani
Francesco Iovino
Salvatore Tolone
Mario Faenza
Gerardo Cazzato
Renato Franco
Source :
Diagnostics, Vol 15, Iss 1, p 69 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Background/Objectives: This study aims to evaluate whether the presence of isolated tumor cells (ITCs) correlates with specific stages of cutaneous melanoma, potentially shedding light on their prognostic significance and the paradoxical survival outcomes in stage IIIA. Methods: This study analyzed cases of sentinel lymph node biopsies for cutaneous melanoma between 2021 and 2023. It included patients with CM diagnoses, available histological slides, and clinical information about the neoplasia stage. The correlation between the primary tumor stage and the presence of isolated tumor cells was statistically analyzed. Results: This study analyzed 462 sentinel lymph node biopsies, revealing 77.1% negative cases and 22.9% positive cases. Isolated tumor cells were observed in 24 cases (5.2%), most commonly in the early stages (e.g., pT1b and pT2a). Statistical analysis confirmed a significant correlation between ITC presence and early-stage neoplasms (p = 0.014). Conclusions: Although ITCs prompt upstaging, their prognostic impact appears limited, especially in thin melanomas, where survival aligns more closely with stage IB than stage IIIA. This aligns with findings from breast cancer studies where ITCs are not equated to metastases in staging due to their minimal impact on prognosis. Current melanoma staging practices could benefit from differentiating ITCs from larger metastatic deposits to better reflect the actual metastatic burden and guide treatment decisions.

Details

Language :
English
ISSN :
20754418
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.b82a1dafa45041b2a434f433f198f1a1
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics15010069