中文摘要：

建立了气相色谱-质谱法分析乳腺癌患者血清中代谢物的分析方法。分别收集乳腺癌患者、一般疾病者和健康对照组血清,样本用甲醇∶乙腈∶丙酮=1∶1∶1（V/V）提取,硅烷化试剂N,O-双甲氧基三氟乙酰胺＋1%三甲基氯硅烷（BSTFA＋1%TMCS）衍生后,采用气相色谱-质谱法分析其中的氨基酸、脂类和糖类的代谢谱,并用主成分分析（PCA）和随机森林（RF）算法对实验结果进行分析。结果表明,三组实验数据被成功分类,并发现磷酸、N-巴豆酰基甘氨酸、2,4-二羟基丁酸、棕榈酸、N-苯基甘氨酸和N-1-己酰甘氨酸等组分在乳腺癌组和健康对照组中的差异较为显著。

英文摘要：

The serum metabolites of patients with breast cancer by gas chromatography-mass spectrometry （GC-MS） were studied. Serum samples from patients with breast cancer, patients with general disease and healthy volunteers were collected. After being extracted with methanol-acetonitrile-acetone （1 ： 1 ： 1, V/V） and derived with BSTFA＋1%TMCS,serum samples were analyzed by GC-MS. The experimental data were analyzed with principal component analysis（PCA） and random forest（RF） classifier,and it was found that phosphoric acid, 2,4-dihyoxybutanoic acid, N-crotonyl glycine, N-（1-oxohexyl）-glycine, N- phenyl glycine and palmitic acid had significant difference between breast cancer group and healthy group.