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机构地区:[1]浙江大学药物信息学研究所,浙江杭州310058 [2]浙江大学医学院附属第一医院肿瘤内科,浙江杭州310003
出 处:《浙江大学学报(医学版)》2009年第5期478-484,共7页Journal of Zhejiang University(Medical Sciences)
基 金:浙江省重大科技攻关项目(2005C13026)
摘 要:目的:探讨基于气相色谱-质谱联用(GC-MS)分析乳腺癌血清代谢组学的方法。方法:收集乳腺癌患者30例和正常人25例血清,衍生化后采用GC-MS分析其氨基酸、脂肪酸、糖类、有机酸等内源性代谢物变化。结果:该方法的进样精密度、日内精密度RSD均〈14.4%,线性良好(r^2〉0.9905),回收率在80.7%-118.0%之间(RSD〈12.0%),样品在室温24 h内稳定,冻融稳定性良好(冻融3次后样品之间RSD〈14.6%)。乳腺癌患者血清中丙氨酸、草酸和谷氨酰胺的发生频率分别为96.7%、100%和93.3%,这可能是潜在的代谢肿瘤标记物。结论:该方法稳定可靠,可作为辅助手段应用于乳腺癌的诊断。Objective. To analyze serum metabonome of patients with breast carcinoma by gas chromatography-mass spectrometry (GC-MS). Methods. Serum samples from 30 patients with breast carcinoma and 25 normal people were collected. Endogenous metabolites amino acids,fatty acids, saccharides and organic acids were analyzed after derivatization. Results. The injection precision and intra-day precision (RSD) were less than 14. 4%. The method displayed good recovery (80.7%-118.0% with RSD〈12.0%) and linearity (r^2〉0. 9905). Samples were stable in 24 h at room temperature. The samples were stable through three freeze-thaw cycles (RSD〈 14. 6%). Alaine,oxalate and glutamine were found with frequency of 96. 7% ,100% and 93. 3%, respectively, which indicated that they may be the potential biomarkers. Conclusions: The method is stable and reliable, which may be helpful for the diagnosis of breast cancer as an auxiliary method.
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