Topographical and Chronological Analysis of Thin Cutaneous Melanoma’s Progressions: A Multicentric Study

Autor: Emmanouil Chousakos, Daniela Zugna, Emi Dika, Aram Boada, Sebastian Podlipnik, Cristina Carrera, Josep Malvehy, Susana Puig, Celia Requena, Esperanza Manrique-Silva, Eduardo Nagore, Pietro Quaglino, Rebecca Senetta, Simone Ribero
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Cancers, Vol 15, Iss 15, p 3989 (2023)
Druh dokumentu: article
ISSN: 2072-6694
DOI: 10.3390/cancers15153989
Popis: A great portion of cutaneous melanoma’s diagnoses nowadays is attributed to thin tumors with up to 1 mm in Breslow thickness (hereafter thin CMs), which occasionally metastasize. The objective of this study was to identify thin CM’s metastatic patterns from a topographical and chronological standpoint. A total of 204 cases of metastatic thin CMs from five specialized centers were included in the study, and corresponding data were collected (clinical, epidemiological, histopathological information of primary tumor and the number, anatomical site, and time intervals of their progressions). First progressions occurred locally, in regional lymph nodes, and in a distant site in 24%, 15% and 61% of cases, respectively, with a median time to first progression of 3.10 years (IQR: 1.09–5.24). The median elapsed time between the first and second progression and between the second and third progression was 0.82 (IQR: 0.34–1.97) and 0.49 (IQR: 0.21–2.30) years, respectively, while the median survival time was about 4 years since first progression. Furthermore, the sequences of locations and time intervals of the progressions were associated with the clinicopathological and demographic features of the primary tumors along with the features of the preceding progressions. In conclusion, the findings of this study describe the natural history of thin CMs, thus highlighting the necessity to identify subgroups of thin CMs at a higher risk for metastasis and contributing to the optimization of the management and follow-up of thin CM patients.
Databáze: Directory of Open Access Journals
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