Identification of Plasma Lipid Alterations Associated with Melanoma Metastasis.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
11 Apr 2024
Historique:
received: 18 03 2024
revised: 08 04 2024
accepted: 10 04 2024
medline: 27 4 2024
pubmed: 27 4 2024
entrez: 27 4 2024
Statut: epublish

Résumé

The aim of this study was to apply a state-of-the-art quantitative lipidomic profiling platform to uncover lipid alterations predictive of melanoma progression. Our study included 151 melanoma patients; of these, 83 were without metastasis and 68 with metastases. Plasma samples were analyzed using a targeted Lipidyzer™ platform, covering 13 lipid classes and over 1100 lipid species. Following quality control filters, 802 lipid species were included in the subsequent analyses. Total plasma lipid contents were significantly reduced in patients with metastasis. Specifically, levels of two out of the thirteen lipid classes (free fatty acids (FFAs) and lactosylceramides (LCERs)) were significantly decreased in patients with metastasis. Three lipids (CE(12:0), FFA(24:1), and TAG47:2-FA16:1) were identified as more effective predictors of melanoma metastasis than the well-known markers LDH and S100B. Furthermore, the predictive value substantially improved upon combining the lipid markers. We observed an increase in the cumulative levels of five lysophosphatidylcholines (LPC(16:0); LPC(18:0); LPC(18:1); LPC(18:2); LPC(20:4)), each individually associated with an elevated risk of lymph node metastasis but not cutaneous or distant metastasis. Additionally, seventeen lipid molecules were linked to patient survival, four of which (CE(12:0), CE(14:0), CE(15:0), SM(14:0)) overlapped with the lipid panel predicting metastasis. This study represents the first comprehensive investigation of the plasma lipidome of melanoma patients to date. Our findings suggest that plasma lipid profiles may serve as important biomarkers for predicting clinical outcomes of melanoma patients, including the presence of metastasis, and may also serve as indicators of patient survival.

Identifiants

pubmed: 38673837
pii: ijms25084251
doi: 10.3390/ijms25084251
pii:
doi:

Substances chimiques

Lipids 0
Biomarkers, Tumor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Research Development and Innovation Fund
ID : K-135752
Organisme : European Regional Development Fund
ID : GINOP-2.3.2-15-2016-00005
Organisme : Hungarian Research Network
ID : TKCS-2021/32
Organisme : 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 and ÚNKP-23-4-II-DE-283

Auteurs

István Szász (I)

HUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.

Viktória Koroknai (V)

Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.

Tünde Várvölgyi (T)

Department of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.

László Pál (L)

Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.

Sándor Szűcs (S)

Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.

Péter Pikó (P)

Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.

Gabriella Emri (G)

Department of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.

Eszter Janka (E)

Department of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.

Imre Lőrinc Szabó (IL)

Department of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.

Róza Ádány (R)

HUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.

Margit Balázs (M)

HUN-REN-UD Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.
Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4028 Debrecen, Hungary.

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Classifications MeSH