通过 GC-MS 和多变量统计分析鉴定游离脂肪酸谱中的乳腺癌潜在生物标志物。
Identification of possible biomarkers for breast cancer from free fatty acid profiles determined by GC-MS and multivariate statistical analysis.
机构信息
Harbin University of Commence, Harbin, 150028, PR China.
出版信息
Clin Biochem. 2012 Jan;45(1-2):127-33. doi: 10.1016/j.clinbiochem.2011.10.011. Epub 2011 Oct 26.
OBJECTIVES
The aim was to investigate the free fatty acid (FFA) metabolic profiles and to identify biomarkers that can be used to distinguish patients with breast cancer (BC) from benign (BE) patients or healthy controls.
DESIGN AND METHODS
A total of 114 subjects were divided into the following three groups: BC patients, BE patients and controls. The FFA profiles in three groups were studied by gas chromatography-mass spectrometry coupled with multivariate statistical analysis.
RESULTS
Three saturated fatty acids (C14:0, C16:0 and C18:0) and three unsaturated fatty acids (C18:2, C18:3 and C20:5) in BC were significantly different than controls. Palmitic acid, stearic acid, linoleic acid and total FFA were identified as potential biomarkers distinguished BC from the other groups.
CONCLUSION
The alterations of FFA could reflect underlying metabolic changes in BC patients, and this study has demonstrated that FFA biomarkers might be helpful for prevention and characterization of BC patients.
目的
本研究旨在探讨游离脂肪酸（FFA）代谢谱，并寻找可用于区分乳腺癌（BC）患者与良性（BE）患者或健康对照者的生物标志物。
设计与方法
共纳入 114 例研究对象，分为 BC 患者组、BE 患者组和对照组。采用气相色谱-质谱联用技术结合多元统计分析方法对三组的 FFA 谱进行研究。
结果
BC 患者中有 3 种饱和脂肪酸（C14:0、C16:0 和 C18:0）和 3 种不饱和脂肪酸（C18:2、C18:3 和 C20:5）与对照组存在显著差异。棕榈酸、硬脂酸、亚油酸和总 FFA 被鉴定为潜在的生物标志物，可将 BC 与其他组区分开来。
结论
FFA 的改变可能反映了 BC 患者潜在的代谢变化，本研究表明 FFA 标志物可能有助于 BC 患者的预防和特征描述。
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