Clinic of Gynaecology and Perinatology, University Medical Centre Maribor, Ljubljanska 5, 2000 Maribor, Slovenia; Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia.
Faculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia; Universal Diagnostics, S.L. Centre of Research Technology and Innovation, University of Seville, Avenida Reina Mercedes s/n, 41012 Seville, Spain.
Clin Chim Acta. 2018 Jun;481:108-114. doi: 10.1016/j.cca.2018.02.029. Epub 2018 Feb 24.
Epithelial ovarian cancer (EOC) is a disease with a poor survival rate mostly due to its discovery in late stages. The aim of this study was to investigate the metabolomic profile of ovarian cancer with the intention of identifying and describing novel biomarkers with diagnostic potential.
Targeted serum metabolomic profiling was performed on 15 patients with ovarian cancer, 21 healthy controls and 21 patients with benign ovarian conditions, using HPLC-TQ/MS.
Panel of 49 top performing biomarkers shows separation between EOC and controls with 87% specificity and 87% sensitivity with AUC of 93% (CI 90%-95%). Using only 5 top biomarkers, specificity of 80% and sensitivity of 83% was achieved on extended sample set. Most significant biomarkers belong to sphingolipid classes, especially long chain ceramides and sphingomyelins. Different concentrations of various fatty acid chain lengths ceramides and sphingomyelins are also implying their respective roles in cell proliferation and growth inhibition.
Long chain ceramides and sphingomyelins may serve as a novel biomarker for epithelial ovarian cancer detection and may also offer insight into the role of sphingolipid metabolism in cell proliferation.
上皮性卵巢癌（EOC）是一种生存率较差的疾病，主要是因为其在晚期被发现。本研究的目的是研究卵巢癌的代谢组学特征，旨在鉴定和描述具有潜在诊断价值的新型生物标志物。
采用 HPLC-TQ/MS 对 15 名卵巢癌患者、21 名健康对照者和 21 名良性卵巢疾病患者进行靶向血清代谢组学分析。
49 个表现最佳的生物标志物组成的标志物组合能够将 EOC 与对照组区分开来，特异性为 87%，敏感性为 87%，AUC 为 93%（90%-95%置信区间）。在扩展的样本集中，仅使用 5 个最佳生物标志物，特异性为 80%，敏感性为 83%。最显著的生物标志物属于鞘脂类，特别是长链神经酰胺和神经鞘磷脂。各种脂肪酸链长神经酰胺和神经鞘磷脂的不同浓度也暗示了它们在细胞增殖和生长抑制中的各自作用。
长链神经酰胺和神经鞘磷脂可作为上皮性卵巢癌检测的新型生物标志物，也可深入了解鞘脂代谢在细胞增殖中的作用。
