(phi) between patients with or without PCa in the tPSA range between 2.0 and 10 ng/ml. In an univariate accuracy analysis, %[−2]proPSA (AUC: 75.7 %) and phi (AUC: 75.6 %) were the most accurate predictors and significantly outperformed %fPSA (AUC: 57.9 %) and PSA density (AUC: 60.8 %) in the prediction of PCa at biopsy. Specifically, %[−2]proPSA and phi were 23 % more accurate than tPSA in detecting patients with PCa. Similarly, at 90 % specificity, the sensitivity of phi (42 %) and of %[−2]proPSA (38 %) were significantly higher than those of tPSA (51 %), %fPSA (20.0 %) and PSA density (26.5 %). The inclusion of %[−2]proPSA or phi in a multivariate logistic regression model resulted in a 10 % and 11 % increase of its predictive accuracy, respectively. They demonstrated that the implementation of %[−2]proPSA and phi in clinical practice may significantly increase our ability to detect PCa, lowering the number of unnecessary biopsy. Data from the two studies [16, 17] are summarized in Table 5.1. It also defined to date, established clinical parameters used in PCa setting, such as PSA, DRE and Gleason score at biopsy often fail to accurately predict PCa aggressiveness. Consequently, PSA isoforms and its derivatives have been proposed to help the physicians in recognizing indolent and lethal cancers optimizing the decision-making process. Sokoll et al. [18] observed a direct relationship between [−2]pPSA and %[−2]proPSA and Gleason score in men with tPSA levels between 2 and 10 ng/ml. In fact, [−2]proPSA and %[−2]proPSA were significantly higher ([−2]proPSA: 12.0 VS. 8 pg/ml, p < 0.001; %[−2]pPSA: 1.66 % VS. 1.40 %, p = 0.03) in men with significant disease compared with men with insignificant disease, according to Epstein Criteria [19]. Similarly, results were shown by Guazzoni et al. [16] who confirmed a direct relationship between [−2]proPSA derivatives and PCa aggressiveness. %[−2]proPSA and phi represented the most accurate predictors of PCa with a Gleason score >7, outperforming patient age and %fPSA. Moreover, the same authors [20] found that [−2]proPSA and its derivatives are predictors of PCa characteristics at final pathology after radical prostatectomy (RP). On univariate analyses, %[−2]proPSA and phi emerged as the most accurate predictors of pT3 disease and pathologic Gleason sum ≥7. On multivariate analysis, the inclusion of %[−2]proPSA or phi increased their accuracy in predicting the pathological outcomes from 2.4 % to 6 %. The PRO-PSA Multicentric European Study, the Prometheus project resumed all this data [21]:
Studies | PSA and PSA derivatives studied | Study population | Number of patients | AUC | Sensitivity at 90 % specificity, % |
---|---|---|---|---|---|
Sokoll et al. J Urol (2008) | tPSA %fPSA [−2]proPSA %[−2]proPSA | No prior biopsy 2–10 ng/ml PSA range | 89 men | 0.52 | |
0.53 | 18 | ||||
0.65 | 41 | ||||
0.73 | |||||
Guazzoni et al. Eur Urol (2011) | tPSA %fPSA [−2]proPSA %[−2]proPSA phi index | Negative DRE 2–10 ng/ml PSA range | 268 men | 0.53 | 5.1 |
0.58 | 20.0 | ||||
0.59 | |||||
0.76 | 38.8 | ||||
0.76 | 42.9 |
[−2]proPSA (AUC: 0.733) and phi (AUC: 0.733) are more accurate than tPSA, fPSA and %fPSA in predicting PCa.
Consideration of %[−2]proPSA and phi results in the avoidance of several unnecessary biopsies.
[−2]proPSA and derivatives correlate with cancer aggressiveness.
Lack of standardization.
The need to use them in association with PSA in a specific range (2–10 ng/ml).
A total PSA might be influenced by benign conditions or medical treatment.
No definition of an ideal cut-off.
5.5 PCA3
Setting | Outcomes of PCA3 |
---|---|
Detection of PCa | Van Gils et al.: Sensitivity: 61 %, Specificity: 80 %, AUC: 0.70 |
Patients with prior negative biopsy | Diagnostic accuracy > %fPSA and not depend on the number of previous biopsies |
PCa characterization | PCA3 > in GS > 7 PCA3 < in tumour volume <0.5 and insignificant tumour |
Selection of patients for active survival | PCA3 good predictor in selection of patient with tumour volume < 0.5 and insignificant tumour |
PCa calculator risk | PCA3 + PSA + DRE + age + race + prior biopsy + prostate biopsy: PCa RISK |
5.6 PSA and 5α Reductase Inhibitors
Outcome Dutasteride or Finasteride arm versus Placebo arm P value | REDUCE | PCPT |
---|---|---|
Number of patients | 3,305 3,424 | 4,579 5,112 |
PCa | 659/3,305 (19 %) 858/3,424 (25 %) p < 0.001 | 695/4,579 (15.2 %) 1,111/5,112 (21.7 %) p < 0.001 |
Gleason score GS (5 or 6)/GS ≥ 7 | 437/3,299 (13.2 %) 617/3,407 (18.1 %) p < 0001 | 264/686 (38.5 %) 240/1,100 (21.8 %) p = 0.03 |
Gleason score GS (7–10)/GS ≥ 8 | 220/3,299 (6.7 %) 233/3,407 (6.8 %) p = 0.81 | 81/686 (11.8 %)
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