The Dilemma of Early Diagnosis for a Clinically Relevant Prostate Cancer: The Role of Urologist

(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]:



Table 5.1
Comparison of outcomes from the Sokoll (2008) and Guazzoni (2011) studies





















































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.


They finally suggest to adopt these biomarkers in preoperative counselling for patients with clinically localized PCa in order to offer the best primary treatment, including active surveillance, RP, radiotherapy and focal therapy. Limits of these PSA derivatives might be summarized:



  • 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.

Further studies in the form of large multicentre, prospective trials are required to evaluate the true clinical applicability.



5.5 PCA3


It has been shown that PSA performance in detecting PCa can be improved by the use of a new biomarker PCA3. Firstly described by Bussemakers et al. [22] PCA3 is a prostate-specific non-coding RNA which is highly over-expressed in more than 95 % of primary prostate tumours, with a median 66-fold up-regulation compared with adjacent non-cancer prostate tissue [22, 23]. The specificity of this marker for PCa has been confirmed by its lack of expression in other types of human tumours [23]. PCA3 has been demonstrated that might be helpful in different setting of patients: first diagnosis, prior negative biopsy, characterization of tumour, selection of patients for active surveillance and to calculate the risk of PCa (Table 5.2). Data from recent studies showed that PCA3 sensitivity ranges from 47 % to 69 %, specificity ranges from 66 % to 83 %, PPV ranges from 59 % to 97.4 %, NPV ranges from 87.7% to 98 % and AUC ranges from 0.65 to 0.74 [24]. European and American repeat biopsy studies have provided evidence that PCA3 values can add specificity to a diagnostic algorithm for PCa in men with previous negative biopsy. Haese et al. [25] showed that the PCA3 score had a greater diagnostic accuracy with a cut-off of 35 than %fPSA with a cut-off of 25 % and the diagnostic accuracy of the PCA3 assay is independent of the number of previous negative biopsies and of serum total PSA level. Emerging data are now available on the relationship between PCA3 and PCa features. In the study of Auprich et al. [26], PCA3 score was correlated with five distinct pathologic end points: low volume disease (<0.5 ml), insignificant PCa, extracapsular invasion (ECE), seminal vesicle invasion (SVI) and aggressive disease defined as Gleason sum >7. PCA3 scores were significantly lower in low-volume disease and insignificant PCa (p ≤ 0.001) but not significantly elevated in pathologically confirmed ECE (p = 0.4) or SVI (p = 0.5). Higher PCA3 scores were associated with aggressive disease (p < 0.001). PCA3 score may be useful also to improve the selection of patients for active surveillance (AS) in addition to the current criteria. Ploussard et al. [27] revealed that PCA3 is independently associated with small volume disease (<0.5 ml) (p < 0.001) and pathologically confirmed insignificant PCa. The risk of having cancer ≥0.5 ml and a significant PCa was increased threefold in men with a PCA3 score ≥25 compared with men with a PCA3 score <25. In a multivariate analysis, taking into account other AS criteria (biopsy criteria, PSA density and Magnetic Resonance Imaging findings), a high PCA3 score (≥25) was an important predictive factor for tumour volume >0.5 (OR: 5.4, p = 0.010) and a significant PCa (OR: 12.7, p = 0.003). Recent data [28] suggest that the new biomarker PCA3 can be successfully incorporated into clinical tools for risk assessment, like Prostate Cancer Prevention Trial risk calculator (PCPT). Since its publication in 2006, the PCPT calculator combined six risk factors (PSA, DRE, age, race, history of biopsy and prostate biopsy) for PCa. Ankerst et al. [28] demonstrated that when PCA3 is incorporated into the PCPT risk calculator, the diagnostic accuracy significantly improved. On the basis of these summarized results, European guidelines recommend to use the PCA3 score together with PSA and other clinical risk factors in a nomogram or other risk stratification tools to make a decision with regard to first or repeat biopsy.


Table 5.2
PCA3 characteristics

























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


At this point of the discussion, readers should clearly understand how much it is important for a marker to be chosen by the urologist to discriminate the indolent from the aggressive PCa in order to choose which to treat and avoid overdiagnosis and overtreatment. The major helping came from the use of 5α reductase inhibitors (5ARI) in patients at risk of PCa. The 5ARI, widely utilized for the treatment of BPH, block the conversion of testosterone to dihydrotestosterone inhibiting the enzyme 5α reductase. Finasteride inhibits selectively the type 2 isoform of 5α reductase; dutasteride is a dual inhibitor of the type 1 and 2 isoforms of the enzyme. The rationale for the use of 5ARI in the detection of PCa is based on the fact that they suppress PSA production related to benign prostatic hyperplasia (BPH) progression, so, consequently, they significantly impact the validity of PSA as a marker for PCa. Two recent and large clinical trials demonstrated that the use of 5α reductase inhibitors can prevent PCa: The Reduction by Dutasteride of Prostate Cancer Events (REDUCE) [29] and the Prostate Cancer Prevention Trial (PCPT) [30]. The REDUCE study [29] compared dutasteride, at dose of 0.5 mg daily, with placebo in men with PSA level of 2.5 to 10 ng/ml and a prior negative prostate biopsy. The end points were PCa detection on biopsy after 2 and 4 years of treatment and Gleason score at biopsy, the presence of pre-neoplastic lesions and other end points related to BPH. Andriole et al. concluded that dutasteride reduced the risk of incident PCa detected on biopsy: 659/3,305 (19.9 %) in the treated group and 858/3,424 (25 %) in the placebo group had PCa. Dutasteride was associated with a relative risk reduction of 22.8 % (95 % CI, 15.2–29.8, p < 0.001). They observed a significant difference between the two groups according to Gleason score at biopsy: 437 tumours in the treated group and 617 in control group were Gleason score of 5 to 6. Other results were: a reduction of the number of cases of pre-neoplastic lesions in the dutasteride group and an improvement of many outcomes related to BPH. The PCPT [30] was designed to reduce the prevalence of PCa after 7 years of treatment. They concluded that the prevalence of PCa was reduced by 24.8 % in the finasteride group compared with the placebo group and that the absolute numbers of high-grade tumours (GS ≥ 7) were higher in the treated group (280/757, 37 %) than in placebo group (237/1,068, 22.2 %). Later, they also examined the impact of finasteride on the sensitivity and AUC of PSA for detecting PCa, in particular high-grade PCa (GS ≥ 7). The sensitivities of PSA were uniformly greater in the finasteride group than in the placebo group: 37.8 % (95 % CI = 34.2–41.4), 53.0 % (95 % CI = 47.0–59.0) and 64.2 % (95 % CI = 53.8–74.6) for PCa, Gleason grade 7 or higher and Gleason grade 8 or higher disease, respectively in the finasteride arm compared with 24.0 % (95 % CI = 21.5–26.5), 39.2 % (95 % CI = 33.0–45.4) and 49.1 % (95 % CI =35.9–62.3), respectively, in the placebo arm. Compared data of these two trials are summarized in Table 5.3.


Table 5.3
Comparison of results from the REDUCE and PCPT studies




























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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Mar 18, 2017 | Posted by in UROLOGY | Comments Off on The Dilemma of Early Diagnosis for a Clinically Relevant Prostate Cancer: The Role of Urologist

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