摘要
目的:探讨乳腺癌与乳腺增生症患者在血清蛋白表达方面的差异。方法:采用表面增强激光解析离子化飞行时间质谱(SELDI-TOF-MS)技术检测119例乳腺癌和42例乳腺增生症患者的血清蛋白质谱,用生物标记向导和模型匹配软件进行组间差异分析,构建分类决策树以鉴别乳腺癌。结果:乳腺癌与乳腺增生症两组间有23个显著性差异蛋白峰,用其中的8个差异蛋白构建决策树分类模型,在学习模式下灵敏度为100%(119/119),特异性为97.62%(41/42),检测模式下灵敏度和特异性分别为91.60%(109/119)和92.86%(39/42)。结论:乳腺癌与乳腺增生症的血清蛋白表达存在差异,差异蛋白质组研究有助于这2种疾病的鉴别诊断。
OBJECTIVE：To investigate the difference of serum proteome between breast caner and hyperplastic disease of breast. METHODS：Serum samples from 119 breast cancer patients and 42 patients with hyperplastic disease of breast were detected and analyzed by using surface enhanced laser desoption/ionization time-of-flight mass spectrometry （SELDI-TOF-MS）. Different protein peaks were picked out and a classification tree was developed for identification of breast cancer by biomarker wizard and biomarker pattern software. RESULTS：Twenty-three protein peaks were significantly different between the breast caner and hyperplastic disease of breast groups. Eight proteins could separate breast caner from patients with hyperplastic disease of breast with the decision tree classification method. In learning mode,the sensitivity and specificity of this method were up to 100% （119/119） and 97.62% （41/42）,respectively,and in test mode,those were 91.60% （109/119） and 92.86%（39/42） respectively. CONCLUSIONS：There are some different proteins in serum between breast caner and hyperplastic disease of breast. Proteomic approaches can facilitate the identification and diagnosis of the two diseases.
出处
《中华肿瘤防治杂志》
CAS
2009年第18期1394-1396,共3页
Chinese Journal of Cancer Prevention and Treatment
关键词
乳腺肿瘤
乳腺纤维囊性病
蛋白质组学
飞行时间质谱
血清
breast neoplasm
fibrocystic disease
proteomics
surface enhanced laser desorption/ionization time-of-flight mass spectrometry
serum
