生物医学工程研究Issue(1)：7-10,4.
基于SELDI－TOF蛋白质谱分析的乳腺癌TNM分期研究
TNM Staging on Breast Cancer Research based on SELDI-TOF Protein Mass Spectrometry Analysis
摘要
Abstract
In this work,we explore the association between the expressions of protein mass spectrometry data and the size of the tumor and lymph node involvement based on the clinical TNM staging by using the clinical SELDI-TOF mass spectrometry data from Zhejiang Province Tumor Hospital.These data of mass spectrum were preprocessed to reduce the noise generated in the first stage. Then,features were selected and redundant features were reduced when applying the clustering algorithm of affinity propagation and null space LDA.The SVM-RFE was performed for selecting the significant biomarkers.Finally,the classification test and statistical analysis were implemented to test the differences between the samples that containing the biomarkers.The experiments of each group by TNM staging showed 35 significant biomarkers with P 0.05.The results indicate that the data of protein mass spectrum can highly cor-relate with the size of the tumor and the lymph node involvement.关键词
乳腺癌/蛋白质质谱/TN M分期/特征选择/生物标志物Key words
Breast cancer/Protein mass spectrometry/TNM staging/Feature selection/Biomarkers分类
医药卫生引用本文复制引用
余庆邦,范明,王晓稼,郑智国,许沈华,陈占红,厉力华..基于SELDI－TOF蛋白质谱分析的乳腺癌TNM分期研究[J].生物医学工程研究,2015,(1):7-10,4.基金项目
国家自然科学基金资助项目（61271063）；国家重点基础研究发展计划项目（2013CB329502）；浙江省自然科学基金资助项目（LQ14F010011）；浙江省科技厅项目（2005C30001，2012C13019－1，2013C332－05）。 （）
