title: Design of a prognostic score model for nasopharyngeal carcinoma.
abstract: BACKGROUND
  The purpose of this analysis was to create a prognostic score model for newly diagnosed nasopharyngeal carcinoma (NPC) which has not been created before.
  
  
  METHODS
  We retrospectively reviewed the medical records of 419 patients with newly diagnosed, nondisseminated, and biopsy proven NPC.
  
  
  RESULTS
  Independent prognostic factors included age >45, stage III/IV, antienzyme rate of Epstein-Barr virus DNase-specific neutralizing antibody (AER) >58%, and absolute neutrophil count (ANC) >4.7 × 10(9) /L. Four prognostic groups based on prognostic score model were obtained: low-risk group (total score = 0-2); low-intermediate-risk group (total score = 3-4); high-intermediate-risk group (total score = 5-6); and high-risk group (total score = 7).
  
  
  CONCLUSIONS
  Our proposed prognostic score model was a useful tool for improving the prognostic assessment of patients with NPC, stratifying patients into different risk groups that call for different treatments, and comparing clinical trials.
authors.affiliation: Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, People's Republic of China; Department of Gynecologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
authors.forename: Xiao-Lin
authors.initials: XL
authors.lastname: Luo
authors.forename: Wang
authors.initials: W
authors.lastname: He
authors.forename: Hui
authors.initials: H
authors.lastname: Huang
authors.forename: Qiu-Yan
authors.initials: QY
authors.lastname: Chen
authors.forename: Ying
authors.initials: Y
authors.lastname: Liang
authors.forename: Hai-Qiang
authors.initials: HQ
authors.lastname: Mai
authors.forename: Hui-Qiang
authors.initials: HQ
authors.lastname: Huang
authors.forename: Qing-Qing
authors.initials: QQ
authors.lastname: Cai
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000704:Analysis of Variance; D000914:Antibodies, Viral / Q000097:blood; D014408:Biomarkers, Tumor / Q000032:analysis*; D001707:Biopsy, Needle; D002277:Carcinoma; D059248:Chemoradiotherapy / Q000379:methods*; D015331:Cohort Studies; D018572:Disease-Free Survival; D005260:Female; D004854:Herpesvirus 4, Human / Q000276:immunology; D006801:Humans; D007150:Immunohistochemistry; D053208:Kaplan-Meier Estimate; D007958:Leukocyte Count; D008297:Male; D008875:Middle Aged; D000077274:Nasopharyngeal Carcinoma; D009303:Nasopharyngeal Neoplasms / Q000401:mortality* / Q000473:pathology* / Q000628:therapy; D060787:Neoplasm Grading; D009361:Neoplasm Invasiveness / Q000473:pathology; D011379:Prognosis; D016016:Proportional Hazards Models; D012189:Retrospective Studies; D018570:Risk Assessment; D012737:Sex Factors; D016019:Survival Analysis
chemical_list: D000914:Antibodies, Viral; D014408:Biomarkers, Tumor
keywords: absolute neutrophil count; nasopharyngeal carcinoma; prognostic factors; prognostic score model