Melanoma Prognosis and Associated Risk Factors: A Retrospective Cohort Study Using Semantic Map Analysis.

Cazzaniga, Simone; Zahn, Carole Anouk; Jafari, Seyed Morteza Seyed; Hunger, Robert (2023). Melanoma Prognosis and Associated Risk Factors: A Retrospective Cohort Study Using Semantic Map Analysis. Acta dermato-venereologica, 103, adv9591. Medical Journals Sweden 10.2340/actadv.v103.9591

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The overall patterns of correlations among various melanoma risk factors have not yet been examined. The aim of this study was to assess the impact of different parameters on disease-free and melanoma-related overall survival. A retrospective cohort study was conducted encompassing all patients with a primary cutaneous melanoma diagnosed in a university referral centre. Associations were explored using semantic map analysis, which uses graph theory to find the strongest path of connections between variables. A total of 1,110 melanoma patients (median follow-up 10.6 years) were included. The analysis revealed a clustering of variables around 2 main hubs: Breslow thickness < 1 mm and ≥ 4 mm. Factors connected with high melanoma thickness were: older age, positive sentinel lymph node biopsy findings, presence of ulceration, nodular melanoma type, and light skin phototype. Both disease-free and melanoma-related overall survival were in this cluster and connected with positive sentinel lymph node biopsy and Breslow ≥ 4 mm. Patients with Breslow between 1 and 3.9 mm were also in this cluster and linked with negative sentinel lymph node biopsy, nodular melanoma and safety distance > 10 mm. This semantic analysis confirmed the close link between Breslow thickness, age, sentinel lymph node biopsy findings, skin type, melanoma subtype and prognosis, and provides prognostic information useful for the further stratification and management of patients with melanoma.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Dermatology, Urology, Rheumatology, Nephrology, Osteoporosis (DURN) > Clinic of Dermatology

UniBE Contributor:

Cazzaniga, Simone, Zahn, Carole Anouk, Jafari, Morteza, Hunger, Robert

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1651-2057

Publisher:

Medical Journals Sweden

Language:

English

Submitter:

Pubmed Import

Date Deposited:

30 May 2023 09:03

Last Modified:

04 Jun 2023 02:27

Publisher DOI:

10.2340/actadv.v103.9591

PubMed ID:

37246807

URI:

https://boris.unibe.ch/id/eprint/183006

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