title: [Prediction of the stage of patients with prostate cancer by the combination of serum prostate specific antigen and Gleason score].
abstract: OBJECTIVE
  To explore the method of predicting the stage of prostate cancer with serum prostate-specific antigen (PSA) and pathological grade.
  
  
  METHODS
  One hundred and eighty-seven patients were studied retrospectively with prostate cancer diagnosed by systemic biopsy in our hospital. The rank correlation analysis, rank sum test and stepwise discriminant multivariate analysis were used to assess the correlation of serum PSA level, ratio of free PSA to total PSA (FPSA/TPSA ratio) with Gleason score (GS) and stage.
  
  
  RESULTS
  Serum PSA level increased with GS for prostate cancer patients (r = 0.369, P < 0.001). With increasing stage, serum PSA level and GS increased (r = 0.398, 0.530, P < 0.001). Overall, FPSA/TPSA ratio was not correlated with stage (P > 0.70), but a significant negative correlation was demonstrated between them when serum PSA < or = 10 microg/L (r = -0.600, P < 0.05). When serum PSA > 20 microg/L, 67% - 87% patients with prostate cancer may be stage C or D. The equation using serum PSA and GS to predict the stage of patients with prostate cancer was: x = -3.488 + 0.041 x PSA + 0.428 x GS.
  
  
  CONCLUSIONS
  Serum PSA level is positively correlated with GS for prostate cancer patients. Serum PSA level and GS are positively correlated with stage. A negative correlation between FPSA/TPSA ratio and stage is demonstrated when serum PSA < or = 10 microg/L. The combination of serum PSA and GS may predict the stage of patients with prostate cancer.
authors.affiliation: Department of Urology, the First Hospital of Peking University, Institute of Urology, Peking University, Beijing 100034, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Song
authors.forename: Li-qun
authors.initials: LQ
authors.lastname: Zhou
authors.forename: Zhi-song
authors.initials: ZS
authors.lastname: He
authors.forename: Ning-chen
authors.initials: NC
authors.lastname: Li
authors.forename: Ming
authors.initials: M
authors.lastname: Li
authors.forename: Jin-rui
authors.initials: JR
authors.lastname: Hao
authors.forename: Bai-nian
authors.initials: BN
authors.lastname: Pan
authors.forename: Yan-qun
authors.initials: YQ
authors.lastname: Na
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009367:Neoplasm Staging / Q000379:methods*; D017430:Prostate-Specific Antigen / Q000097:blood*; D011471:Prostatic Neoplasms / Q000097:blood* / Q000473:pathology*; D012372:ROC Curve; D012189:Retrospective Studies; D012680:Sensitivity and Specificity
chemical_list: D017430:Prostate-Specific Antigen