GC-MS鉴别铂敏感和铂耐药卵巢癌代谢组学标志物的发现

IF 1.1 4区 化学 Q4 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL
European Journal of Mass Spectrometry Pub Date : 2021-12-01 Epub Date: 2021-11-22 DOI:10.1177/14690667211057996
Evren C Eroglu, Sule Tunug, Omer Faruk Geckil, Umran Kucukgoz Gulec, Mehmet Ali Vardar, Semra Paydas
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引用次数: 3

摘要

本研究旨在通过代谢组学方法确定铂耐药卵巢癌(OC)患者的替代治疗方案。采用气相色谱-质谱法对铂耐药OC和铂敏感OC的尿液和血清样本进行分析。在对GC-MS原始数据进行数据处理后,进行多变量分析,以解释复杂的数据,以获得生物学上有意义的信息,并确定导致两组之间差异的生物标志物。生物标志物经过单因素、多因素和ROC分析验证。最后,明确了与组分离相关的代谢组学途径。生物标志物分析结果显示,3,4-二羟基苯基乙酸、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潜在的生物标志物。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的生物标志物。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,酪氨酸代谢和果糖和甘露糖代谢发现有统计学意义(p p值,氮代谢途径中的l -谷氨酰胺来自前三个途径;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,l -精氨酸、l -脯氨酸和l -鸟氨酸代谢物在两组之间差异显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovery of metabolomic biomarkers for discriminating platinum-sensitive and platinum-resistant ovarian cancer by using GC-MS.

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 p-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.

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来源期刊
CiteScore
2.40
自引率
7.70%
发文量
16
审稿时长
>12 weeks
期刊介绍: JMS - European Journal of Mass Spectrometry, is a peer-reviewed journal, devoted to the publication of innovative research in mass spectrometry. Articles in the journal come from proteomics, metabolomics, petroleomics and other areas developing under the umbrella of the “omic revolution”.
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