Application of surface-enhanced laser desorption/ionization time-of-flight-based serum proteomic array technique for the early diagnosis of prostate cancer  

作　　者：Yu-Zhuo Pan Xue-Yuan Xiao Dan Zhao Guo-Yi Ji Yang Li Bao-Xue Yang Da-Cheng He Xue-Jian Zhao 

机构地区：[1]Research Center of Prostate Diseases, Department of Reproductive Pathophysiology, School of Basic Medicine, JilinUniversity, Changchun 130021, China [2]Research Institute of Cytobiology of the Academy of Life Science, Research Institute of Proteomics, Normal University,Beijing, 100875, China

出　　处：《Asian Journal of Andrology》2006年第1期45-51,共7页亚洲男性学杂志（英文版）

摘　　要：Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, China. Protein profiling was carried out using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF MS）. The data of spectra were analyzed using two bioinformatics tools. Results： Eighteen serum differential proteins were identified in the PCa group compared with the control group （P 〈 0.01）. There were four proteins at the higher serum level and 14 proteins at the lower serum level in the PCa group. A decision tree classification algorithm that used an eight-protein mass pattern was developed to correctly classify the samples. A sensitivity of 92.0 % and a specificity of 96.7 % for the study group were obtained by comparing the PCa and control groups. Conclusion： We identified new serum biomarkers of PCa. SELDI-TOF MS coupled with a decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCa. （Asian J Androl 2006 Jan; 8： 45-51）Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, China. Protein profiling was carried out using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF MS）. The data of spectra were analyzed using two bioinformatics tools. Results： Eighteen serum differential proteins were identified in the PCa group compared with the control group （P 〈 0.01）. There were four proteins at the higher serum level and 14 proteins at the lower serum level in the PCa group. A decision tree classification algorithm that used an eight-protein mass pattern was developed to correctly classify the samples. A sensitivity of 92.0 % and a specificity of 96.7 % for the study group were obtained by comparing the PCa and control groups. Conclusion： We identified new serum biomarkers of PCa. SELDI-TOF MS coupled with a decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCa. （Asian J Androl 2006 Jan; 8： 45-51）

关 键 词：prostate cancer early diagnosis protein chip biomarker SERUM 

分 类 号：R737.25[医药卫生—肿瘤]