本文選題：乳腺癌　切入點(diǎn)：血清　出處：《分析科學(xué)學(xué)報(bào)》2017年03期 　論文類型：期刊論文

【摘要】：建立了氣相色譜-質(zhì)譜法分析乳腺癌患者血清中代謝物的分析方法。分別收集乳腺癌患者、一般疾病者和健康對(duì)照組血清,樣本用甲醇∶乙腈∶丙酮=1∶1∶1(V/V)提取,硅烷化試劑N,O-雙甲氧基三氟乙酰胺+1%三甲基氯硅烷(BSTFA+1%TMCS)衍生后,采用氣相色譜-質(zhì)譜法分析其中的氨基酸、脂類和糖類的代謝譜,并用主成分分析(PCA)和隨機(jī)森林(RF)算法對(duì)實(shí)驗(yàn)結(jié)果進(jìn)行分析。結(jié)果表明,三組實(shí)驗(yàn)數(shù)據(jù)被成功分類,并發(fā)現(xiàn)磷酸、N-巴豆�；拾彼帷�2,4-二羥基丁酸、棕櫚酸、N-苯基甘氨酸和N-1-己酰甘氨酸等組分在乳腺癌組和健康對(duì)照組中的差異較為顯著。
[Abstract]:A gas chromatography-mass spectrometry method was established for the analysis of metabolites in the serum of breast cancer patients. Serum samples were collected from breast cancer patients, general disease patients and healthy controls. The samples were extracted with methanol: acetonitrile: acetone 1: 1: 1: 1: 1 V / V). The amino acids, lipids and carbohydrates were analyzed by gas chromatography-mass spectrometry after derivatization of silanation reagent Nu O- dimethoxy trifluoroacetamide 1% trimethylchlorosilane and BSTFA1 TMCS1, and the metabolic spectra of amino acids, lipids and carbohydrates were analyzed by gas chromatography-mass spectrometry (GC-MS). The experimental results were analyzed by principal component analysis (PCA) and random forest forest (RFF) algorithm. The results showed that the three groups of experimental data were classified successfully, and the results showed that the N-crotonyl glycine phosphate (PCAA) and 4-dihydroxybutyric acid (DHA) were found. The difference of N-phenylglycine and N-1-hexyl glycine in breast cancer group and healthy control group was significant.
【作者單位】： 南昌大學(xué)化學(xué)學(xué)院;南昌大學(xué)分析測試中心;
【基金】：國家自然科學(xué)基金(No.21465017)
【分類號(hào)】：O657.63;R737.9

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