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Combining Biomarkers for the Diagnosis of Metastatic Melanoma.
Várvölgyi, Tünde; Janka, Eszter Anna; Szász, István; Koroknai, Viktória; Toka-Farkas, Tünde; Szabó, Imre Lorinc; Ványai, Beatrix; Szegedi, Andrea; Emri, Gabriella; Balázs, Margit.
Afiliação
  • Várvölgyi T; Department of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
  • Janka EA; Department of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
  • Szász I; HUN-REN-UD Allergology Research Group, University of Debrecen, 4032 Debrecen, Hungary.
  • Koroknai V; HUN-REN-UD Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.
  • Toka-Farkas T; Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
  • Szabó IL; HUN-REN-UD Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.
  • Ványai B; Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
  • Szegedi A; Department of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
  • Emri G; Department of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
  • Balázs M; HUN-REN-UD Allergology Research Group, University of Debrecen, 4032 Debrecen, Hungary.
J Clin Med ; 13(1)2023 Dec 28.
Article em En | MEDLINE | ID: mdl-38202181
ABSTRACT
The early detection of melanoma relapse can improve patient survival; thus, there is a great need for easily accessible biomarkers that facilitate the diagnosis of metastatic disease. We investigated the diagnostic effect of blood biomarkers such as lactate dehydrogenase (LDH), S100B, and osteopontin in the detection of metastases. Clinical data and peripheral blood samples of 206 melanoma patients were collected (no metastasis, N = 120; metastasis, N = 86). The discriminative power of blood biomarkers, patient demographics, and clinicopathological parameters of primary melanomas were evaluated using univariate and multivariate logistic regression models and receiver operating characteristic (ROC) analysis to determine the area under the curve (AUC). Plasma osteopontin levels showed a significant and independent effect on the probability of metastasis, similar to serum S100B levels. In addition, the location of the primary tumor on the lower extremities and the American Joint Committee on Cancer (AJCC) categories pT2b-3a, pT3b-4a, and pT4b were associated with the diagnosis of metastasis. Importantly, the combination of the three blood biomarkers and primary tumor localization and AJCC pT category yielded excellent discrimination (AUC training set 0.803; validation set 0.822). In conclusion, plasma osteopontin can be classified as a melanoma biomarker; moreover, by combining clinicopathological prognostic variables, the diagnostic effect of blood biomarkers in the detection of metastatic melanoma can be improved.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Hungria

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: J Clin Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Hungria