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利用气相色谱-质谱联用技术发现鉴别铂敏感和铂耐药卵巢癌的代谢组学生物标志物。

Discovery of metabolomic biomarkers for discriminating platinum-sensitive and platinum-resistant ovarian cancer by using GC-MS.

作者信息

Eroglu Evren C, Tunug Sule, Geckil Omer Faruk, Gulec Umran Kucukgoz, Vardar Mehmet Ali, Paydas Semra

机构信息

Department of Biotechnology, 37506Cukurova University, Adana, Turkey.

Alata Horticultural Research Institute, Mersin, Turkey.

出版信息

Eur J Mass Spectrom (Chichester). 2021 Dec;27(6):235-248. doi: 10.1177/14690667211057996. Epub 2021 Nov 22.

Abstract

This study aims to determine ovarian cancer (OC) patients with platinum resistance for alternative treatment protocols by using metabolomic methodologies. Urine and serum samples of platinum-resistant and platinum-sensitive OC were analyzed using GC-MS. After data processing of GC-MS raw data, multivariate analyses were performed to interpret complex data for biologically meaningful information and to identify the biomarkers that cause differences between two groups. The biomarkers were verified after univariate, multivariate, and ROC analysis. Finally, metabolomic pathways related to group separations were specified. The results of biomarker analysis showed that 3,4-dihydroxyphenylacetic acid, 4-hydroxybutyric acid, L-threonine, D- mannose, and sorbitol metabolites were potential biomarkers in urine samples. In serum samples, L-arginine, linoleic acid, L-glutamine, and hypoxanthine were identified as important biomarkers. R2Y, Q2, AUC, sensitivity and specificity values of platinum-resistant and sensitive OC patients' urine and serum samples were 0.85, 0.545, 0.844, 91.30%, 81.08 and 0.570, 0.206, 0.743, 77.78%, 74.28%, respectively. In metabolic pathway analysis of urine samples, tyrosine metabolism and fructose and mannose metabolism were found to be statistically significant (p < 0.05) for the discrimination of the two groups. While 3,4-dihydroxyphenylacetic acid, L-tyrosine, and fumaric acid metabolites were effective in tyrosine metabolism. D-sorbitol and D-mannose metabolites were significantly important in fructose and mannose metabolism. However, seven metabolomic pathways were significant (p < 0.05) in serum samples. In terms of value, L-glutamine in the nitrogen metabolic pathway from the first three pathways; L-glutamine and pyroglutamic acid metabolites in D-glutamine and D-glutamate metabolism. In the arginine and proline metabolic pathway, L-arginine, L-proline, and L-ornithine metabolites differed significantly between the two groups.

摘要

本研究旨在通过代谢组学方法确定对铂耐药的卵巢癌(OC)患者,以便采用替代治疗方案。使用气相色谱 - 质谱联用仪(GC - MS)分析铂耐药和铂敏感OC患者的尿液和血清样本。在对GC - MS原始数据进行数据处理后,进行多变量分析以解释复杂数据中的生物学有意义信息,并识别导致两组之间差异的生物标志物。在单变量、多变量和ROC分析后对生物标志物进行验证。最后,确定与组间分离相关的代谢组学途径。生物标志物分析结果表明,3,4 - 二羟基苯乙酸、4 - 羟基丁酸、L - 苏氨酸、D - 甘露糖和山梨醇代谢物是尿液样本中的潜在生物标志物。在血清样本中,L - 精氨酸、亚油酸、L - 谷氨酰胺和次黄嘌呤被确定为重要生物标志物。铂耐药和铂敏感OC患者尿液和血清样本的R2Y、Q2、AUC、敏感性和特异性值分别为0.85、0.545、0.844、91.30%、81.08和0.570、0.206、0.743、77.78%、74.28%。在尿液样本的代谢途径分析中,发现酪氨酸代谢以及果糖和甘露糖代谢在区分两组时具有统计学意义(p < 0.05)。而3,4 - 二羟基苯乙酸、L - 酪氨酸和富马酸代谢物在酪氨酸代谢中起作用。D - 山梨醇和D - 甘露糖代谢物在果糖和甘露糖代谢中具有显著重要性。然而,血清样本中有七条代谢组学途径具有统计学意义(p < 0.05)。在价值方面,前三条途径中氮代谢途径的L - 谷氨酰胺;D - 谷氨酰胺和D - 谷氨酸代谢中的L - 谷氨酰胺和焦谷氨酸代谢物。在精氨酸和脯氨酸代谢途径中,两组之间的L - 精氨酸、L - 脯氨酸和L - 鸟氨酸代谢物存在显著差异。

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