Depth of invasion analysis to predict acral melanoma outcomes
| dc.contributor.author | Asato, Marcel Arakaki [UNESP] | |
| dc.contributor.author | Moares-Neto, Francisco Alves | |
| dc.contributor.author | de Toledo Moraes, Marcelo Padovani [UNESP] | |
| dc.contributor.author | Ocanha-Xavier, Juliana Polizel [UNESP] | |
| dc.contributor.author | Takita, Luiz Carlos | |
| dc.contributor.author | Marques, Mariangela Esther Alencar [UNESP] | |
| dc.contributor.author | Xavier-Júnior, José Cândido Caldeira [UNESP] | |
| dc.contributor.institution | The Federal University of Mato Grosso do Sul | |
| dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
| dc.contributor.institution | Amaral Carvalho Hospital | |
| dc.contributor.institution | Centro Universitário Unisalesiano Auxilium | |
| dc.contributor.institution | Pathology Institute of Araçatuba | |
| dc.date.accessioned | 2025-04-29T18:58:23Z | |
| dc.date.issued | 2024-08-01 | |
| dc.description.abstract | Background: Acral melanoma is a subtype with worse outcomes. The Breslow micrometric measurement is the most critical parameter in planning treatment and predicting outcomes. However, for acral lentiginous melanoma, the value of the Breslow thickness is a matter of debate. Depth of Invasion (DOI) is a well-established measure for staging oral squamous cell carcinoma. Objective: This study compared DOI and Breslow thickness for predicting acral melanoma outcomes. Methods: We performed a retrospective cross-sectional study of 71 acral melanoma lesions subjected to sentinel lymph node biopsy at one Brazilian referral center. Results: Cox model univariate analysis showed that both DOI and Breslow thickness predicted melanoma specific survival (HR 1.12; p = 0.0255 and HR 1.144; p = 0.0006, respectively), although Kaplan Meier curve was only significant for Breslow (χ2 = 5.792; p = 0.0161) and not for DOI (χ2 = 0.2556; p = 0.6132). Sentinel lymph node status and presence or absence of ulceration also predicted specific survival in patients with acral melanoma (χ2 = 6.3514; p = 0.0117 and χ2 = 4.2793; p = 0.0386, respectively). Multivariate analysis, however, demonstrated that Breslow depth was the only independent parameter for predicting acral melanoma specific survival (HR 1.144; p = 0.0006). Conclusion: Even though Breslow thickness remains the main predictor for survival in acral melanoma, it is not a perfect parameter. The introduction of DOI in this context opens new perspectives for predicting acral melanoma outcomes. | en |
| dc.description.affiliation | School of Medicine The Federal University of Mato Grosso do Sul | |
| dc.description.affiliation | School of Medicine São Paulo State University, SP | |
| dc.description.affiliation | Amaral Carvalho Hospital, SP | |
| dc.description.affiliation | School of Medicine Centro Universitário Unisalesiano Auxilium, SP | |
| dc.description.affiliation | Pathology Institute of Araçatuba, SP | |
| dc.description.affiliationUnesp | School of Medicine São Paulo State University, SP | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description.sponsorshipId | FAPESP: 2021/09431-0 | |
| dc.identifier | http://dx.doi.org/10.1016/j.anndiagpath.2024.152305 | |
| dc.identifier.citation | Annals of Diagnostic Pathology, v. 71. | |
| dc.identifier.doi | 10.1016/j.anndiagpath.2024.152305 | |
| dc.identifier.issn | 1532-8198 | |
| dc.identifier.issn | 1092-9134 | |
| dc.identifier.scopus | 2-s2.0-85190533331 | |
| dc.identifier.uri | https://hdl.handle.net/11449/301476 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Annals of Diagnostic Pathology | |
| dc.source | Scopus | |
| dc.subject | Melanoma | |
| dc.subject | Neoplasm staging | |
| dc.subject | Pathology | |
| dc.subject | Skin neoplasms | |
| dc.title | Depth of invasion analysis to predict acral melanoma outcomes | en |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | a3cdb24b-db92-40d9-b3af-2eacecf9f2ba | |
| relation.isOrgUnitOfPublication.latestForDiscovery | a3cdb24b-db92-40d9-b3af-2eacecf9f2ba | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Medicina, Botucatu | pt |
