title: [Classification and diagnostic prediction of colorectal cancer using protein profiling of serum and bioinformatics].
abstract: To develop a bioinformatic tool and to use it to identify proteomic patterns in serum, distinguishing colorectal cancer from colorectal adenoma and healthy individuals.
  
  
  
  182 serum samples including 55 colorectal cancer patients, 35 colorectal adenoma and 92 healthy individuals were subjected to analysis by surface-enhanced laser desorption/ionization (SELDI) mass spectrometry.
  
  
  
  The diagnostic pattern combined of 4 candidate biomarkers (M/Z 5911, 8922, 8 944, and 8817) could separate colorectal patients from healthy control with a specificity of 93.3%, sensitivity of 90.9%, and Youden index value of 0.84242. The diagnostic pattern combined of 7 candidate biomarkers (M/Z 17247, 18420 ,5911, 9294, 4654, 21694, and 21742) could separate colorectal cancer patients from colorectal adenoma patients with a specificity of 83.2%, sensitivity of 89.3%, and Youden index value of 0.72484.
  
  
  
  Combination of SELDI with bioinformatics tool can identify some new biomarkers from the sera of colorectal cancer patients, which has a high sensitivity and specificity to distinguish colorectal cancer patients from healthy control.
authors.affiliation: Department of Oncology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310009, China. ydchen@zju.edu.cn
authors.forename: Yi-Ding
authors.initials: YD
authors.lastname: Chen
authors.forename: Pan-Pan
authors.initials: PP
authors.lastname: Xie
authors.forename: Jian-Wei
authors.initials: JW
authors.lastname: Yu
authors.forename: Jun
authors.initials: J
authors.lastname: Zhou
authors.forename: Shu
authors.initials: S
authors.lastname: Zheng
mesh_terms: D000236:Adenoma / Q000097:blood / Q000145:classification / Q000175:diagnosis; D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000032:analysis*; D001798:Blood Proteins / Q000032:analysis* / Q000737:chemistry; D002277:Carcinoma / Q000097:blood / Q000145:classification / Q000175:diagnosis; D016022:Case-Control Studies; D015179:Colorectal Neoplasms / Q000145:classification / Q000175:diagnosis*; D019295:Computational Biology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000379:methods; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000295:instrumentation / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor; D001798:Blood Proteins; D020543:Proteome