title: Detection of hypopharyngeal squamous cell carcinoma using serum proteomics.
abstract: CONCLUSIONS
  The combination of surface-enhanced laser desorption/ionization (SELDI) with bioinformatics tools could help find serum proteome biomarkers and establish a predictive model for early detection of hypopharyngeal squamous cell carcinoma (HSCC).
  
  
  OBJECTIVE
  Proteomic profiling of serum using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) is an emerging technique to identify new biomarkers in biological fluids and to establish clinically useful diagnostic computational models. We used it to find new potential biomarkers and to establish a predictive model for early detection of HSCC.
  
  
  METHODS
  One hundred serum samples including 48 from HSCC patients and 52 from normal controls which were divided into a training set and a blind testing set were treated on WCX2 and IMAC3 protein chip, and serum protein or peptide patterns were detected by SELDI-TOF-MS. The data of spectra were analyzed by Biomarker Wizard software to screen serum proteome biomarkers of HSCC. A decision tree classification algorithm and blind validation were determined by Biomarker Pattern Software (BPS).
  
  
  RESULTS
  Ranging from 2 to 30 kDa, 45 potential biomarkers could differentiate HSCC patients from normal controls (p < 0.05). Among them four candidate protein peaks with m/z values of 7796, 4216, 5927, and 5361Da were selected to establish a predictive model by BPS with sensitivity of 94% and specificity of 89%. A sensitivity of 92% and specificity of 82% were validated in the blind testing set.
authors.affiliation: Department of Otolaryngology-Head and Neck Surgery, Fudan University Affiliated Eye, Ear, Nose and Throat Hospital, Shanghai, China. zhlwc@online.sh.cn
authors.forename: Liang
authors.initials: L
authors.lastname: Zhou
authors.forename: Lei
authors.initials: L
authors.lastname: Cheng
authors.forename: Lei
authors.initials: L
authors.lastname: Tao
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Jia
authors.forename: Ye
authors.initials: Y
authors.lastname: Lu
authors.forename: Ping
authors.initials: P
authors.lastname: Liao
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D014408:Biomarkers, Tumor / Q000097:blood* / Q000235:genetics; D002294:Carcinoma, Squamous Cell / Q000097:blood / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology; D003663:Decision Trees; D003936:Diagnosis, Computer-Assisted; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D007012:Hypopharyngeal Neoplasms / Q000097:blood / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology; D008297:Male; D008875:Middle Aged; D009363:Neoplasm Proteins / Q000097:blood* / Q000235:genetics; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D040081:Protein Array Analysis; D040901:Proteomics; D012984:Software; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins