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Identifying potential serum biomarkers of breast cancer through targeted free fatty acid profiles screening based on a GC–MS platform

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机构: [1]Guangdong Key Laboratory for Genome Stability & Disease Prevention, Department of Pharmacology and Shenzhen University International Cancer Center, Shenzhen University School of Medicine, Shenzhen, China [2]Department of Breast Surgery, Peking University Shenzhen Hospital, Shenzhen, China [3]State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China [4]Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University, Shenzhen People's Hospital, Shenzhen, China [5]Department of Chemistry, University of California, Berkeley, CA, USA
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关键词: biomarker breast cancer free fatty acid GC–MS

摘要:
Recent advances suggest that abnormal fatty acid metabolism highly correlates with breast cancer, which provide clues to discover potential biomarkers of breast cancer. This study aims to identify serum free fatty acid (FFA) metabolic profiles and screen potential biomarkers for breast cancer diagnosis. Gas chromatography–mass spectrometry and our in-house fatty acid methyl ester standard substances library were combined to accurately identify FFA profiles in serum samples of breast cancer patients and breast adenosis patients (as controls). Potential biomarkers were screened by applying statistical analysis. A total of 18 FFAs were accurately identified in serum sample. Two groups of patients were correctly discriminated by the orthogonal partial least squares–discriminant analysis model based on FFA profiles. Seven FFA levels were significantly higher in serum from breast cancer patients than that in controls, and exhibited positive correlation with malignant degrees of disease. Furthermore, five candidates (palmitic acid, oleic acid, cis-8,11,14-eicosatrienoic acid, docosanoic acid and the ratio of oleic acid to stearic acid) were selected as potential serum biomarkers for differential diagnosis of breast cancer. Our study will help to reveal the metabolic signature of FFAs in breast cancer patients, and provides valuable information for facilitating clinical noninvasive diagnosis. © 2020 John Wiley & Sons, Ltd.

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出版当年[2019]版:
大类 | 4 区 医学
小类 | 4 区 生化研究方法 4 区 生化与分子生物学 4 区 分析化学 4 区 药学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 生化研究方法 4 区 生化与分子生物学 4 区 分析化学 4 区 药学
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出版当年[2018]版:
Q3 CHEMISTRY, ANALYTICAL Q4 BIOCHEMICAL RESEARCH METHODS Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Q4 PHARMACOLOGY & PHARMACY
最新[2023]版:
Q3 CHEMISTRY, ANALYTICAL Q3 PHARMACOLOGY & PHARMACY Q4 BIOCHEMICAL RESEARCH METHODS Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者机构: [1]Guangdong Key Laboratory for Genome Stability & Disease Prevention, Department of Pharmacology and Shenzhen University International Cancer Center, Shenzhen University School of Medicine, Shenzhen, China [*1]Shenzhen University International Cancer Center, Shenzhen University School of Medicine, Shenzhen 518039, P. R. China.
通讯作者:
通讯机构: [1]Guangdong Key Laboratory for Genome Stability & Disease Prevention, Department of Pharmacology and Shenzhen University International Cancer Center, Shenzhen University School of Medicine, Shenzhen, China [*1]Shenzhen University International Cancer Center, Shenzhen University School of Medicine, Shenzhen 518039, P. R. China.
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