Construction of a metabolomics profile of arsenic trioxide effect in gastric carcinoma cell line SGC7901

被引:16
作者
Chen, Ziqing [1 ,2 ,3 ]
Zhang, Hainan [1 ]
Yang, Lina [4 ,5 ]
Jiang, Hewei [1 ]
Guo, Shujuan [1 ]
Li, Yang [1 ]
Tao, Shengce [1 ,2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Ctr Syst Biomed, Key Lab Syst Biomed, Minist Educ, Shanghai 200240, Peoples R China
[2] State Key Lab Oncogenes & Related Genes, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai 200240, Peoples R China
[4] Fudan Univ, Shanghai Canc Ctr, Dept Integrat Oncol, Shanghai 200032, Peoples R China
[5] Fudan Univ, Shanghai Canc Ctr, Cent Lab, Shanghai 200032, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
arsenic trioxide; gastric carcinoma; metabolomics; CANCER METABOLISM; RETINOIC ACID; IN-VITRO; APOPTOSIS; DEGRADATION; GLUTATHIONE; EXPRESSION; OXIDATION; TARGET; GROWTH;
D O I
10.1093/abbs/gmw022
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:474 / 481
页数:8
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