title: Screening the gastric cancer related tumor markers from multi-tumor markers protein chip with kappa coefficient and cost-effectiveness analysis.
abstract: OBJECTIVE
  To retrospectively evaluate the clinical values of C12 multi-tumor markers protein chip system in gastric cancer (GC) and screen for GC related tumor markers so as to provide a theoretical base for the establishment of GC diagnostic biochips.
  
  
  METHODS
  The sera of 156 GC patients were detected for 12 common tumor markers using the C12 tumor markers protein chip. GC related parameters were analyzed by Kappa test and cost-effectiveness analysis to find the most optimal tumor marker combination.
  
  
  RESULTS
  Carbohydrate antigen (CA) 19-9 (20.5%), CA242 (19.9%), carcinoembryonic antigen (CEA, 17.3%), CA125 (7.1%) were major tumor markers increased among the 156 GC patients. Kappa test revealed 6 tumor marker combinations having strong consistency with the detection results of C12 tumor markers proteinchip, and CA19-9 plus CEA proved to be the best combination by cost-effectiveness analysis.
  
  
  CONCLUSIONS
  C12 tumor markers protein chip system had limited value in the diagnosis of GC, and the design of chip was too complicated and costly for widespread screening among the high risk populations. Searching for new GC biomarkers and designing small diagnostic chip could significantly enhance the clinical value of tumor markers in terms of diagnostic rate and practical utility.
authors.affiliation: Department of Oncology, Zhongnan Hospital, Hubei Key Laboratory of Tumor Biological Behaviors & Hubei Cancer Clinical Study Center, Wuhan, China.
authors.forename: Jin-Xuan
authors.initials: JX
authors.lastname: Hou
authors.forename: Xue-Qin
authors.initials: XQ
authors.lastname: Yang
authors.forename: Chuang
authors.initials: C
authors.lastname: Chen
authors.forename: Qiao
authors.initials: Q
authors.lastname: Jiang
authors.forename: Guo-Liang
authors.initials: GL
authors.lastname: Yang
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015295:Antigens, Tumor-Associated, Carbohydrate / Q000097:blood; D014408:Biomarkers, Tumor / Q000097:blood*; D018395:CA-19-9 Antigen / Q000097:blood; D002272:Carcinoembryonic Antigen / Q000032:analysis; D003362:Cost-Benefit Analysis; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D040081:Protein Array Analysis / Q000379:methods*; D012189:Retrospective Studies; D013274:Stomach Neoplasms / Q000097:blood / Q000175:diagnosis*
chemical_list: D015295:Antigens, Tumor-Associated, Carbohydrate; D014408:Biomarkers, Tumor; C074601:CA 242 antigen; D018395:CA-19-9 Antigen; D002272:Carcinoembryonic Antigen