Chen Ziqing, Zhang Hainan, Yang Lina, Jiang Hewei, Guo Shujuan, Li Yang, Tao Shengce
Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China State Key Laboratory of Oncogenes and Related Genes, Shanghai 200240, China School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China.
Acta Biochim Biophys Sin (Shanghai). 2016 May;48(5):474-81. doi: 10.1093/abbs/gmw022. Epub 2016 Apr 3.
Arsenic trioxide (ATO) is highly effective for treating acute promyelocytic leukemia. It also holds the promise for treating solid tumors, including gastric carcinoma. However, the molecular mechanism of the effectiveness of ATO to solid tumor is still poorly understood. In this study, we chosed gastric carcinoma as an example and tried to reveal the antitumor mechanism through metabolomics. Gastric carcinoma cell line SGC7901 was treated with ATO for 6, 12, and 24 h. The global metabolite profiles were monitored by metabolomics analysis using gas chromatography (GC)/mass spectrometry (MS) and liquid chromatography/MS/MS. A total of 281 certified metabolites were reliably detected. Bioinformatics analysis showed that glycerophospholipid synthesis, one-carbon synthesis, and glutathione synthesis were affected dramatically. Other cellular functions/pathways that had been affected included inflammatory response, nicotinamide adenine dinucleotide (NAD(+)), and polyamine biosynthesis pathway. The metabolomics data from this study, in combination with previous transcriptomics and proteomics data, could serve as valuable resources for the understanding of the specific antitumor mechanism of ATO treatment.
三氧化二砷(ATO)对治疗急性早幼粒细胞白血病非常有效。它对治疗实体瘤(包括胃癌)也有前景。然而,ATO对实体瘤有效性的分子机制仍知之甚少。在本研究中,我们以胃癌为例,试图通过代谢组学揭示其抗肿瘤机制。用ATO处理胃癌细胞系SGC7901 6、12和24小时。使用气相色谱(GC)/质谱(MS)和液相色谱/MS/MS通过代谢组学分析监测整体代谢物谱。共可靠检测到281种经认证的代谢物。生物信息学分析表明,甘油磷脂合成、一碳合成和谷胱甘肽合成受到显著影响。其他受影响的细胞功能/途径包括炎症反应、烟酰胺腺嘌呤二核苷酸(NAD(+))和多胺生物合成途径。本研究的代谢组学数据与先前的转录组学和蛋白质组学数据相结合,可作为了解ATO治疗特定抗肿瘤机制的宝贵资源。