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定义肺鳞状细胞癌中的代谢重编程

Defining Metabolic Rewiring in Lung Squamous Cell Carcinoma.

作者信息

Paes de Araújo Rachel, Bertoni Natália, Seneda Ana L, Felix Tainara F, Carvalho Márcio, Lewis Keir E, Hasimoto Érica N, Beckmann Manfred, Drigo Sandra A, Reis Patricia P, Mur Luis A J

机构信息

Aberystwyth University, Institute of Biological, Environmental and Rural Sciences (IBERS), Ceredigion SY23 3DA, UK.

São Paulo State University (UNESP), Faculty of Medicine, Dept. of Surgery and Orthopedics, Botucatu 18618687, Brazil.

出版信息

Metabolites. 2019 Mar 7;9(3):47. doi: 10.3390/metabo9030047.

Abstract

Metabolomics based on untargeted flow infusion electrospray ionization high-resolution mass spectrometry (FIE-HRMS) can provide a snap-shot of metabolism in living cells. Lung Squamous Cell Carcinoma (SCC) is one of the predominant subtypes of Non-Small Cell Lung Cancers (NSCLCs), which usually shows a poor prognosis. We analysed lung SCC samples and matched histologically normal lung tissues from eight patients. Metabolites were profiled by FIE-HRMS and assessed using -test and principal component analysis (PCA). Differentially accumulating metabolites were mapped to pathways using the algorithm in R, and biologically meaningful patterns were indicated by Metabolite Set Enrichment Analysis (MSEA). We identified metabolic rewiring networks, including the suppression of the oxidative pentose pathway and found that the normal tricarboxylic acid (TCA) cycle were decoupled from increases in glycolysis and glutamine reductive carboxylation. Well-established associated effects on nucleotide, amino acid and thiol metabolism were also seen. Novel aspects in SCC tissue were increased in Vitamin B complex cofactors, serotonin and a reduction of γ-aminobutyric acid (GABA). Our results show the value of FIE-HRMS as a high throughput screening method that could be exploited in clinical contexts.

摘要

基于非靶向流动注射电喷雾电离高分辨率质谱(FIE-HRMS)的代谢组学能够提供活细胞代谢的快照。肺鳞状细胞癌(SCC)是非小细胞肺癌(NSCLCs)的主要亚型之一,其预后通常较差。我们分析了8例患者的肺SCC样本以及与之匹配的组织学正常肺组织。通过FIE-HRMS对代谢物进行分析,并使用t检验和主成分分析(PCA)进行评估。利用R语言中的算法将差异积累的代谢物映射到代谢途径,并通过代谢物集富集分析(MSEA)显示具有生物学意义的模式。我们确定了代谢重布线网络,包括磷酸戊糖氧化途径的抑制,并发现正常的三羧酸(TCA)循环与糖酵解增加和谷氨酰胺还原羧化脱钩。在核苷酸、氨基酸和硫醇代谢方面也观察到了已确定的相关效应。SCC组织中的新情况是维生素B复合辅因子、血清素增加,γ-氨基丁酸(GABA)减少。我们的结果显示了FIE-HRMS作为一种可用于临床的高通量筛选方法的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd40/6468359/6b15f59b961d/metabolites-09-00047-g001.jpg

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