题名 | Small molecules as potential biomarkers of early gastric cancer: A mass spectrometry imaging approach |
作者 | |
通讯作者 | Li, Zhili; Yang, Aiming |
发表日期 | 2022-09-01
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DOI | |
发表期刊 | |
ISSN | 0009-8981
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EISSN | 1873-3492
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卷号 | 534 |
摘要 | Background and aims: Early detection of gastric cancer is an effective way to decrease the associated mortality. Efficient methods are needed to provide more sensitive biomarkers for detection of early gastric cancer (EGC). Materials and methods: We performed liquid extraction-electrosonic spray ionization mass spectrometry imaging and immunofluorescent staining of enzymes related to lipid synthesis on cancerous and paracancerous tissues obtained from six EGC patients and investigated the serum lipid profiles. Areas under the receiver operating characteristic curves were used to determine the diagnostic accuracy of putative biomarkers. Results: Five lipids detected in the positive ion mode and seven in negative ion mode displayed higher relative intensities in the cancerous than the paracancerous tissues. Seven lipids detected in the positive ion mode and seven in the negative ion mode displayed lower relative intensities in the cancerous than the paracancerous regions. Phosphatidylcholine (34:3) and phosphatidylcholine (36:1) showed higher relative intensities in the cancerous than in the paracancerous tissues and showed higher relative intensities in the serum of EGC patients than healthy controls. Phosphatidylcholine (32:0) showed lower relative intensities in the cancerous than in the paracancerous tissues and lower relative intensities in the serum of EGC patients than healthy controls. The areas under the receiver operating characteristic curves of serum phosphatidylcholine (32:0) and phosphatidylcholine (34:3) for identifying EGC patients were 1.000 and 0.978, respectively. Conclusions: Regions associated with EGC showed different lipid distributions and enzyme expression from the paracancerous regions. Serum Phosphatidylcholine (32:0) and phosphatidylcholine (34:3) are potential bio-markers for discriminating between EGC patients and healthy controls. |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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资助项目 | Beijing Municipal Science and Technology Project[Z181100001618013]
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WOS研究方向 | Medical Laboratory Technology
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WOS类目 | Medical Laboratory Technology
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WOS记录号 | WOS:000830894000001
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出版者 | |
ESI学科分类 | CLINICAL MEDICINE
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来源库 | Web of Science
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引用统计 |
被引频次[WOS]:4
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/364990 |
专题 | 南方科技大学第一附属医院 |
作者单位 | 1.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Gastroenterol, State Key Lab Complex Severe & Rare Dis, Beijing 100730, Peoples R China 2.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Pathol, State Key Lab Complex Severe & Rare Dis, Beijing 100730, Peoples R China 3.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Affiliated Hosp 1,Clin Med Coll 2,Dept Gastroenter, Shenzhen 518020, Guangdong, Peoples R China 4.Qingdao Municipal Ctr Dis Control & Prevent, Qingdao 266011, Shandong, Peoples R China 5.Qingdao Inst Prevent Med, Qingdao 266011, Shandong, Peoples R China 6.Chinese Acad Med Sci & Peking Union Med Coll, Inst Basic Med Sci, Dept Biophys & Struct Biol, Beijing 100005, Peoples R China 7.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Gastroenterol, 1 Shuaifuyuan, Beijing 100730, Peoples R China 8.Chinese Acad Med Sci & Peking Union Med Coll, Inst Basic Med Sci, Dept Biophys & Struct Biol,State Key Lab Complex S, 5 Dondan San Tiao, Beijing 100005, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 |
Zou, Long,Wang, Luolin,Guo, Lei,et al. Small molecules as potential biomarkers of early gastric cancer: A mass spectrometry imaging approach[J]. CLINICA CHIMICA ACTA,2022,534.
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APA |
Zou, Long.,Wang, Luolin.,Guo, Lei.,Zhou, Weixun.,Lai, Zhizhen.,...&Yang, Aiming.(2022).Small molecules as potential biomarkers of early gastric cancer: A mass spectrometry imaging approach.CLINICA CHIMICA ACTA,534.
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MLA |
Zou, Long,et al."Small molecules as potential biomarkers of early gastric cancer: A mass spectrometry imaging approach".CLINICA CHIMICA ACTA 534(2022).
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