Predictive Performance of Serum S100B

COX LDH ROC S100B melanoma meta-analysis

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2021
Historique:
received: 07 09 2021
accepted: 11 11 2021
entrez: 24 12 2021
pubmed: 25 12 2021
medline: 25 12 2021
Statut: epublish

Résumé

Currently, no consensus on the use of blood tests for monitoring disease recurrence in patients with resected melanoma exists. The only meta-analysis conducted in 2008 found that elevated serum S100B levels were associated with significantly worse survival in melanoma patients. Serum LDH is an established prognostic factor in patients with advanced melanoma. To compare the discriminative and prognostic ability of serum S100B with that of serum LDH in patients with melanoma. This systematic review and meta-analysis were reported in accordance with the PRISMA Statement. The study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019137138). A quantitative analysis of data from 6 eligible studies included 1,033 patients with cutaneous melanoma. The discriminative ability of serum S100B at identifying disease relapse [pooled Area Under the ROC (AUROC) 78.64 (95% CI 70.28; 87.01)] was significantly greater than the discriminative ability of serum LDH [AUROC 64.41 (95% CI 56.05; 7278)] (p=0.013). Ten eligible studies with 1,987 patients were included in the risk of death analysis. The prognostic performance of serum S100B [pooled estimate of adjusted hazard ratio (HR) 1.78 (95% CI 1.38; 2.29)] was independent but not superior to that of serum LDH [HR 1.60 (95% CI 1.36; 2.29)]. A relatively small number of articles were eligible and there was considerable heterogeneity across the included studies. Serum biomarkers may provide relevant information on melanoma patient status and should be further researched. Serum S100B is a valid marker for diagnosis of melanoma recurrence. The study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019137138).

Sections du résumé

BACKGROUND BACKGROUND
Currently, no consensus on the use of blood tests for monitoring disease recurrence in patients with resected melanoma exists. The only meta-analysis conducted in 2008 found that elevated serum S100B levels were associated with significantly worse survival in melanoma patients. Serum LDH is an established prognostic factor in patients with advanced melanoma.
OBJECTIVE OBJECTIVE
To compare the discriminative and prognostic ability of serum S100B with that of serum LDH in patients with melanoma.
METHODS METHODS
This systematic review and meta-analysis were reported in accordance with the PRISMA Statement. The study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019137138).
RESULTS RESULTS
A quantitative analysis of data from 6 eligible studies included 1,033 patients with cutaneous melanoma. The discriminative ability of serum S100B at identifying disease relapse [pooled Area Under the ROC (AUROC) 78.64 (95% CI 70.28; 87.01)] was significantly greater than the discriminative ability of serum LDH [AUROC 64.41 (95% CI 56.05; 7278)] (p=0.013). Ten eligible studies with 1,987 patients were included in the risk of death analysis. The prognostic performance of serum S100B [pooled estimate of adjusted hazard ratio (HR) 1.78 (95% CI 1.38; 2.29)] was independent but not superior to that of serum LDH [HR 1.60 (95% CI 1.36; 2.29)].
LIMITATIONS CONCLUSIONS
A relatively small number of articles were eligible and there was considerable heterogeneity across the included studies.
CONCLUSIONS CONCLUSIONS
Serum biomarkers may provide relevant information on melanoma patient status and should be further researched. Serum S100B is a valid marker for diagnosis of melanoma recurrence.
SYSTEMATIC REVIEW REGISTRATION BACKGROUND
The study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42019137138).

Identifiants

pubmed: 34950582
doi: 10.3389/fonc.2021.772165
pmc: PMC8688362
doi:

Types de publication

Systematic Review

Langues

eng

Pagination

772165

Informations de copyright

Copyright © 2021 Janka, Várvölgyi, Sipos, Soós, Hegyi, Kiss, Dembrovszky, Csupor, Kéringer, Pécsi, Solymár and Emri.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Eszter Anna Janka (EA)

Department of Dermatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Tünde Várvölgyi (T)

Department of Dermatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Zoltán Sipos (Z)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.

Alexandra Soós (A)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.

Péter Hegyi (P)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.

Szabolcs Kiss (S)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Doctoral School of Clinical Medicine, University of Szeged, Szeged, Hungary.

Fanni Dembrovszky (F)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.

Dezső Csupor (D)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
Department of Pharmacognosy, Faculty of Pharmacy, University of Szeged, Szeged, Hungary.

Patrik Kéringer (P)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.

Dániel Pécsi (D)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.

Margit Solymár (M)

Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.

Gabriella Emri (G)

Department of Dermatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Classifications MeSH