Wu W J, Wang Q, Zhang W, Li L
Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, and Key Laboratory of High-Incidence-Tumor Prevention and Treatment, Ministry of Education, Nanning 530021, China (Currently Address: Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangzhou Medical University, Guangzhou 510095, China).
Department of Gynecologic Oncology, Affiliated Tumor Hospital of Guangxi Medical University, and Key Laboratory of High-Incidence-Tumor Prevention and Treatment, Ministry of Education, Nanning 530021, China.
Zhonghua Zhong Liu Za Zhi. 2017 Dec 23;39(12):896-902. doi: 10.3760/cma.j.issn.0253-3766.2017.12.004.
To explore the alteration of plasma metabolomic profiles, screen the new serum markers of multidrug resistant epithelial ovarian cancer (EOC), and investigate the mechanism. The serum of 132 cases with cisplatin-resistant EOC, cisplatin-sensitive EOC, benign ovarian cyst and healthy donors were collected. Differentially plasma metabolic profiles were identified by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS). The significantly different metabolites of each group were screened by using principal component analysis. Then compounds that played a key role in cisplatin resistance were identified by using nuclear magnetic resonance (NMR). The relationships between these compounds and clinical characteristics and prognosis were analyzed. LC-MS/MS identified 25 800 metabolic compounds. According to the descending dimension algorithm by principal component analysis, six compounds which were the biggest contributor to grouping were identified. The identified results of NMR showed that the serum level of C16 Sphinganine was lower while Dodemorph was higher in the EOC than those of the normal control. Compared to the cisplatin sensitive group, cisplatin resistant group exhibited a specific metabolic trait characterized by upregulation of 1-Monopalmitin, Ricinoleic acid methyl ester, Polyoxyethylene (600) mono-ricinoleate/Glycidyl stearate and downregulation of Calycanthidine. The four components were all associated with fatty acid metabolism, and the combinational diagnostic sensitivity of these biomarkers for cisplatin-resistance was 86.50% and the specificity was 81.80%, the area of receiver operating characteristic (ROC) curve was 0.93. The metabolic signatures of normal control, benign ovarian cyst, cisplatin sensitivity and cisplatin resistance can be clearly separated from each other by LC-MS/MS technology.The combinational four biomarkers including Calycanthidine, 1-Monopalmitin, Ricinoleic acid methl ester and Polyoxyethylene (600) mono-ricinoleate/Glycidyl stearate are more sensitive and specific for the diagnosis of cisplatin resistant EOC, and may provide the potentially predict markers of chemotherapeutic response in metabolic level. The fatty acid metabolism may participate in the cisplatin resistant progression of EOC.
为探索血浆代谢组学谱的变化,筛选多药耐药上皮性卵巢癌(EOC)的新血清标志物,并研究其机制。收集了132例顺铂耐药EOC、顺铂敏感EOC、良性卵巢囊肿患者及健康供者的血清。采用液相色谱-质谱联用(LC-MS/MS)技术鉴定差异血浆代谢谱。运用主成分分析筛选每组中差异显著的代谢物。然后利用核磁共振(NMR)鉴定在顺铂耐药中起关键作用的化合物。分析这些化合物与临床特征及预后的关系。LC-MS/MS鉴定出25800种代谢化合物。根据主成分分析的降维算法,确定了对分组贡献最大的6种化合物。NMR鉴定结果显示,EOC患者血清中C16鞘氨醇水平低于正常对照组,而十二环吗啉水平高于正常对照组。与顺铂敏感组相比,顺铂耐药组呈现出特定的代谢特征,表现为1-单棕榈酸甘油酯、蓖麻油酸甲酯、聚氧乙烯(600)单蓖麻油酸酯/缩水甘油硬脂酸酯上调,而刺蒴麻碱下调。这四种成分均与脂肪酸代谢相关,这些生物标志物对顺铂耐药的联合诊断敏感性为86.50%,特异性为81.80%,受试者工作特征(ROC)曲线下面积为0.93。通过LC-MS/MS技术可清晰区分正常对照组、良性卵巢囊肿组、顺铂敏感组和顺铂耐药组的代谢特征。包括刺蒴麻碱、1-单棕榈酸甘油酯、蓖麻油酸甲酯和聚氧乙烯(600)单蓖麻油酸酯/缩水甘油硬脂酸酯在内的四种联合生物标志物对顺铂耐药EOC的诊断更敏感、特异,可能在代谢水平上提供化疗反应的潜在预测标志物。脂肪酸代谢可能参与EOC的顺铂耐药进展过程。