Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling
IntroductionAlthough most cutaneous melanoma (CM) in its early stages is treatable, the risk of recurrence remains high and there is a particular ambiguity on patients prognosis. This drives to identification of prognostic biomarkers for predicting CM recurrence to guide appropriate treatment in pat...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Molecular Biosciences |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2025.1543148/full |
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| author | Oleksandr Dudin Oleksandr Dudin Ozar Mintser Vitalii Gurianov Nazarii Kobyliak Nazarii Kobyliak Denys Kozakov Sofiia Livshun Oksana Sulaieva Oksana Sulaieva |
| author_facet | Oleksandr Dudin Oleksandr Dudin Ozar Mintser Vitalii Gurianov Nazarii Kobyliak Nazarii Kobyliak Denys Kozakov Sofiia Livshun Oksana Sulaieva Oksana Sulaieva |
| author_sort | Oleksandr Dudin |
| collection | DOAJ |
| description | IntroductionAlthough most cutaneous melanoma (CM) in its early stages is treatable, the risk of recurrence remains high and there is a particular ambiguity on patients prognosis. This drives to identification of prognostic biomarkers for predicting CM recurrence to guide appropriate treatment in patients with localized melanoma.AimThis study aimed to develop a prognostic model for assessing the risk of recurrence in patients with CM, enabling prompt prognosis-driven further clinical decision-making for high-risk patients.Materials and methodsThis case-control study included 172 patients with CM recurrence (high-risk group) and 30 patients with stable remission (low-risk group) 3 years after primary diagnosis. The impact of sex, age at diagnosis, anatomical site, histological characteristics (the histological type, pathological stage, ulceration; the depth of invasion, mitotic rate, lymphovascular invasion, neurotropism, association with a nevus, tumor-infiltrating lymphocyte density, tumor regression and BRAF codon 600 mutation status) on CM recurrence was evaluated.ResultsFive independent variables, including nodal status, a high mitotic rate, Breslow thickness, lymphovascular invasion, perineural invasion and regression features were identified as the most significant. A 5-factor logistic regression model was developed to assess the risk of melanoma recurrence. The sensitivity and specificity of the model were 86.1% and 72.7%, respectively.ConclusionThe developed model, which relies on routine histological features, allows the identification of individuals at high risk of CM recurrence to tailor their further management. |
| format | Article |
| id | doaj-art-2bad17107ea347cbbe252d6b1cf03fac |
| institution | Kabale University |
| issn | 2296-889X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Molecular Biosciences |
| spelling | doaj-art-2bad17107ea347cbbe252d6b1cf03fac2025-02-07T05:10:23ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2025-02-011210.3389/fmolb.2025.15431481543148Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modelingOleksandr Dudin0Oleksandr Dudin1Ozar Mintser2Vitalii Gurianov3Nazarii Kobyliak4Nazarii Kobyliak5Denys Kozakov6Sofiia Livshun7Oksana Sulaieva8Oksana Sulaieva9Pathology Department, Medical Laboratory CSD, Kyiv, UkraineDepartment of Fundamental Disciplines and Informatics, Shupyk National Healthcare University of Ukraine, Kyiv, UkraineDepartment of Fundamental Disciplines and Informatics, Shupyk National Healthcare University of Ukraine, Kyiv, UkraineEndocrinology Department, Bogomolets National Medical University, Kyiv, UkrainePathology Department, Medical Laboratory CSD, Kyiv, UkraineEndocrinology Department, Bogomolets National Medical University, Kyiv, UkrainePathology Department, Medical Laboratory CSD, Kyiv, UkrainePathology Department, Medical Laboratory CSD, Kyiv, UkrainePathology Department, Medical Laboratory CSD, Kyiv, UkraineKyiv Medical University, Pathology Department, Kyiv, UkraineIntroductionAlthough most cutaneous melanoma (CM) in its early stages is treatable, the risk of recurrence remains high and there is a particular ambiguity on patients prognosis. This drives to identification of prognostic biomarkers for predicting CM recurrence to guide appropriate treatment in patients with localized melanoma.AimThis study aimed to develop a prognostic model for assessing the risk of recurrence in patients with CM, enabling prompt prognosis-driven further clinical decision-making for high-risk patients.Materials and methodsThis case-control study included 172 patients with CM recurrence (high-risk group) and 30 patients with stable remission (low-risk group) 3 years after primary diagnosis. The impact of sex, age at diagnosis, anatomical site, histological characteristics (the histological type, pathological stage, ulceration; the depth of invasion, mitotic rate, lymphovascular invasion, neurotropism, association with a nevus, tumor-infiltrating lymphocyte density, tumor regression and BRAF codon 600 mutation status) on CM recurrence was evaluated.ResultsFive independent variables, including nodal status, a high mitotic rate, Breslow thickness, lymphovascular invasion, perineural invasion and regression features were identified as the most significant. A 5-factor logistic regression model was developed to assess the risk of melanoma recurrence. The sensitivity and specificity of the model were 86.1% and 72.7%, respectively.ConclusionThe developed model, which relies on routine histological features, allows the identification of individuals at high risk of CM recurrence to tailor their further management.https://www.frontiersin.org/articles/10.3389/fmolb.2025.1543148/fullcutaneous melanomaBRAF mutationshistological subtyperecurrenceprognostic model |
| spellingShingle | Oleksandr Dudin Oleksandr Dudin Ozar Mintser Vitalii Gurianov Nazarii Kobyliak Nazarii Kobyliak Denys Kozakov Sofiia Livshun Oksana Sulaieva Oksana Sulaieva Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling Frontiers in Molecular Biosciences cutaneous melanoma BRAF mutations histological subtype recurrence prognostic model |
| title | Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling |
| title_full | Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling |
| title_fullStr | Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling |
| title_full_unstemmed | Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling |
| title_short | Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling |
| title_sort | defining the high risk category of patients with cutaneous melanoma a practical tool based on prognostic modeling |
| topic | cutaneous melanoma BRAF mutations histological subtype recurrence prognostic model |
| url | https://www.frontiersin.org/articles/10.3389/fmolb.2025.1543148/full |
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