title: Application of surface-enhanced laser desorption/ionization time-of-flight-based serum proteomic array technique for the early diagnosis of prostate cancer.
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Research Center of Prostate Diseases, Department of Reproductive Pathophysiology, School of Basic Medicine, Jilin University, Changchun, China.
authors.forename: Yu-Zhuo
authors.initials: YZ
authors.lastname: Pan
authors.forename: Xue-Yuan
authors.initials: XY
authors.lastname: Xiao
authors.forename: Dan
authors.initials: D
authors.lastname: Zhao
authors.forename: Ling
authors.initials: L
authors.lastname: Zhang
authors.forename: Guo-Yi
authors.initials: GY
authors.lastname: Ji
authors.forename: Yang
authors.initials: Y
authors.lastname: Li
authors.forename: Bao-Xue
authors.initials: BX
authors.lastname: Yang
authors.forename: Da-Cheng
authors.initials: DC
authors.lastname: He
authors.forename: Xue-Jian
authors.initials: XJ
authors.lastname: Zhao
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood*; D003663:Decision Trees; D006801:Humans; D008297:Male; D008490:Medical Informatics; D008875:Middle Aged; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D020543:Proteome / Q000032:analysis*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
chemical_list: D015415:Biomarkers; D020543:Proteome