TNM Staging on Breast Cancer Research based on SELDI-TOF Protein Mass Spectrometry Analysis
YU Qingbang;FAN Ming;WANG Xiaojia;ZHENG Zhiguo;XU Shenhua;CHEN Zhanhong;LI Lihua;College of Life Information Science & Instrument Engineering,Hangzhou Electronic Science and Technology University;Zhejiang Cancer Institute;
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 correlate with the size of the tumor and the lymph node involvement.