To evaluate the diagnostic value of α-methylacyl-CoA racemase (AMACR) score in
Han Chinese patients with prostate cancer (PCa) through urine sediment analysis.
We collected 292 urine sediment samples after digital rectal examination. Levels
of AMACR and prostate-specific antigen (PSA) messenger RNA (mRNAs) were
evaluated by quantitative real time-polymerase chain reaction. The diagnostic
value of AMACR score was assessed by receiver-operating characteristic analysis
(ROC), Mann-Whitney test, logistic regression analysis and decision curve
analysis. In all patients (n = 292), the area under the curve (AUC) for serum
PSA, AMACR score, and a combinative model of these 2 parameters were 0.745 (95%
confidence interval [CI]: 0.691-0.794), 0.753 (95% CI: 0.700-0.802), and 0.784
(95% CI: 0.732-0.830). No statistical difference was found between AMACR score
and serum PSA (P = .826), while the combinative model was
better than AMACR score (Z = 5.222, P < .001). Among
patients with serum PSA level of 4 to 10 ng/mL (n = 121), the AMACR score was
significantly higher in patients with PCa (P = 0.0002), while
serum PSA showed no difference (P = 0.3023).
Alpha-methylacyl-CoA racemase score (AUC = 0.712, 95% CI: 0.623-0.790) and a
combinative model (AUC = 0.714, 95% CI: 0.626-0.793) showed a better diagnostic
value than serum PSA (AUC = 0.559, 95% CI: 0.466-0.649), (P =
.048, P = .042). Decision curve analysis showed a biopsy
prediction model including AMACR score have a better net benefit when the
threshold probability greater than 20%. The diagnostic model combing serum PSA
and AMACR score has a better diagnostic value in patients with abnormal PSA
level (including PSA level ranging from 4-10 ng/mL), and could reduce
unnecessary prostate biopsy in clinical use.