Combining Biomarkers for the Diagnosis of Metastatic Melanoma.
S100B
metastatic melanoma
osteopontin
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
28 Dec 2023
28 Dec 2023
Historique:
received:
09
11
2023
revised:
12
12
2023
accepted:
26
12
2023
medline:
11
1
2024
pubmed:
11
1
2024
entrez:
11
1
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 38202181
pii: jcm13010174
doi: 10.3390/jcm13010174
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : the National Research Development and Innovation Fund
ID : K-135752
Organisme : the European Regional Development Fund
ID : GINOP-2.3.2-15-2016-00005
Organisme : the Hungarian Research Network
ID : TKCS-2021/32
Organisme : the ÚNKP-23-4 New National Excellence Program of the Ministry for Culture and Innovation from the Source of National research, Development and Innovation Fund
ID : ÚNKP-23-4-II-DE-229
Organisme : the ÚNKP-23-4 New National Excellence Program of the Ministry for Culture and Innovation from the Source of National research, Development and Innovation Fund
ID : ÚNKP-23-4-II-DE-283
Organisme : the ÚNKP-23-4 New National Excellence Program of the Ministry for Culture and Innovation from the Source of National research, Development and Innovation Fund
ID : ÚNKP-23-4-II-DE-172