Szász István, Koroknai Viktória, Várvölgyi Tünde, Pál László, Szűcs Sándor, Pikó Péter, Emri Gabriella, Janka Eszter, Szabó Imre Lőrinc, Ádány Róza, Balázs Margit
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.
Int J Mol Sci. 2024 Apr 11;25(8):4251. doi: 10.3390/ijms25084251.
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.
本研究的目的是应用先进的定量脂质组学分析平台,以发现可预测黑色素瘤进展的脂质变化。我们的研究纳入了151例黑色素瘤患者;其中,83例无转移,68例有转移。使用靶向Lipidyzer™平台分析血浆样本,该平台涵盖13类脂质和1100多种脂质种类。经过质量控制筛选后,后续分析纳入了802种脂质种类。有转移患者的血浆总脂质含量显著降低。具体而言,转移患者中13类脂质中的两类(游离脂肪酸(FFA)和乳糖神经酰胺(LCER))水平显著下降。三种脂质(CE(12:0)、FFA(24:1)和TAG47:2-FA16:1)被确定为比知名标志物乳酸脱氢酶(LDH)和S100B更有效的黑色素瘤转移预测指标。此外,联合脂质标志物后预测价值大幅提高。我们观察到五种溶血磷脂酰胆碱(LPC(16:0);LPC(18:0);LPC(18:1);LPC(18:2);LPC(20:4))的累积水平升高,每一种都与淋巴结转移风险升高单独相关,但与皮肤转移或远处转移无关。此外,17种脂质分子与患者生存相关,其中四种(CE(12:0)、CE(14:0)、CE(15:0)、SM(14:0))与预测转移的脂质组重叠。本研究是迄今为止对黑色素瘤患者血浆脂质组的首次全面研究。我们的研究结果表明,血浆脂质谱可能作为预测黑色素瘤患者临床结局(包括转移情况)的重要生物标志物,也可能作为患者生存的指标。