Nicola Fossati

EAU–ESTRO–SIOG Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent

OBJECTIVE To present a summary of the 2016 version of the European Association of Urology (EAU) - European Society for Radiotherapy & Oncology (ESTRO) - International Society of Geriatric Oncology (SIOG) Guidelines on screening, diagnosis, and local treatment with curative intent of clinically localised prostate cancer (PCa). EVIDENCE ACQUISITION The working panel performed a literature review of the new data (2013-2015). The guidelines were updated and the levels of evidence and/or grades of recommendation were added based on a systematic review of the evidence. EVIDENCE SYNTHESIS BRCA2 mutations have been added as risk factors for early and aggressive disease. In addition to the Gleason score, the five-tier 2014 International Society of Urological Pathology grading system should now be provided. Systematic screening is still not recommended. Instead, an individual risk-adapted strategy following a detailed discussion and taking into account the patients wishes and life expectancy must be considered. An early prostate-specific antigen test, the use of a risk calculator, or one of the promising biomarker tools are being investigated and might be able to limit the overdetection of insignificant PCa. Breaking the link between diagnosis and treatment may lower the overtreatment risk. Multiparametric magnetic resonance imaging using standardised reporting cannot replace systematic biopsy, but robustly nested within the diagnostic work-up, it has a key role in local staging. Active surveillance always needs to be discussed with very low-risk patients. The place of surgery in high-risk disease and the role of lymph node dissection have been clarified, as well as the management of node-positive patients. Radiation therapy using dose-escalated intensity-modulated technology is a key treatment modality with recent improvement in the outcome based on increased doses as well as combination with hormonal treatment. Moderate hypofractionation is safe and effective, but longer-term data are still lacking. Brachytherapy represents an effective way to increase the delivered dose. Focal therapy remains experimental while cryosurgery and HIFU are still lacking long-term convincing results. CONCLUSIONS The knowledge in the field of diagnosis, staging, and treatment of localised PCa is evolving rapidly. The 2016 EAU-ESTRO-SIOG Guidelines on PCa summarise the most recent findings and advice for the use in clinical practice. These are the first PCa guidelines endorsed by the European Society for Radiotherapy and Oncology and the International Society of Geriatric Oncology and reflect the multidisciplinary nature of PCa management. A full version is available from the EAU office and online (http://uroweb.org/guideline/prostate-cancer/). PATIENT SUMMARY The 2016 EAU-STRO-IOG Prostate Cancer (PCa) Guidelines present updated information on the diagnosis, and treatment of clinically localised prostate cancer. In Northern and Western Europe, the number of men diagnosed with PCa has been on the rise. This may be due to an increase in opportunistic screening, but other factors may also be involved (eg, diet, sexual behaviour, low exposure to ultraviolet radiation). We propose that men who are potential candidates for screening should be engaged in a discussion with their clinician (also involving their families and caregivers) so that an informed decision may be made as part of an individualised risk-adapted approach.

Impact of Adjuvant Radiotherapy on Survival of Patients With Node-Positive Prostate Cancer

PURPOSE The role of adjuvant radiotherapy (aRT) in treating patients with pN1 prostate cancer is controversial. We tested the hypothesis that the impact of aRT on cancer-specific mortality (CSM) in these individuals is related to tumor characteristics. METHODS We evaluated 1,107 patients with pN1 prostate cancer treated with radical prostatectomy and anatomically extended pelvic lymph node dissection between 1988 and 2010 at two tertiary care centers. All patients received adjuvant hormonal therapy with or without aRT. Regression tree analysis stratified patients into risk groups on the basis of their tumor characteristics and the corresponding CSM rate. Cox regression analysis tested the relationship between aRT and CSM rate, as well as overall mortality (OM) rate in each risk group separately. RESULTS Overall, 35% of patients received aRT. At multivariable analysis, aRT was associated with more favorable CSM rate (hazard ratio [HR], 0.37; P < .001). However, when patients were stratified into risk groups, only two groups of men benefited from aRT: (1) patients with positive lymph node (PLN) count ≤ 2, Gleason score 7 to 10, pT3b/pT4 stage, or positive surgical margins (HR, 0.30; P = .002); and (2) patients with PLN count of 3 to 4 (HR, 0.21; P = .02), regardless of other tumor characteristics. These results were confirmed when OM was examined as an end point. CONCLUSION The beneficial impact of aRT on survival in patients with pN1 prostate cancer is highly influenced by tumor characteristics. Men with low-volume nodal disease (≤ two PLNs) in the presence of intermediate- to high-grade, non-specimen-confined disease and those with intermediate-volume nodal disease (three to four PLNs) represent the ideal candidates for aRT after surgery.

Selecting the Optimal Candidate for Adjuvant Radiotherapy After Radical Prostatectomy for Prostate Cancer: A Long-term Survival Analysis

BACKGROUND The role of adjuvant radiotherapy (ART) after radical prostatectomy (RP) on survival of patients with prostate cancer (PCa) is still controversial. OBJECTIVE We tested the impact of ART on cancer-specific mortality (CSM) and overall mortality (OM) in PCa patients according to pathologic PCa features. DESIGN, SETTING, AND PARTICIPANTS We evaluated 1049 PCa patients treated with RP and extended pelvic lymph node dissection alone or in combination with adjuvant treatments between 1998 and 2008. All patients had positive surgical margins and/or pT3/pT4 disease with or without positive lymph nodes. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Cox regression analyses tested the relationship between pathologic characteristics and CSM rates. Independent predictors of survival were used to develop a novel risk score based on the number of risk factors. Finally, Cox regression models tested the relationship between ART and survival according to the number of risk factors. RESULTS AND LIMITATIONS On multivariable analyses, only pathologic Gleason score ≥ 8, pT3b/T4 stage, and presence of positive lymph nodes represented independent predictors of CSM (all p ≤ 0.02). The cumulative number of these pathologic findings was used to develop a risk score, which was 0, 1, 2, and 3 in 43.6%, 22.1%, 20.7%, and 13.6% of patients, respectively. In patients sharing more than two mentioned predictors of CSM (primarily having a risk score of 0 or 1), ART did not significantly improve survival (all p ≥ 0.4). Conversely, in patients with a risk score ≥ 2, ART was associated with lower CSM and OM rates (all p=0.006). The observational nature of the cohort represents a limitation of the study. CONCLUSIONS ART significantly improved survival only in patients with at least two of the following pathologic features at RP: Gleason score ≥ 8, pT3/pT4 disease, and positive lymph nodes. These patients represent the ideal candidates for ART after RP.

Identifying optimal candidates for local treatment of the primary tumor among patients diagnosed with metastatic prostate cancer: a SEER-based study.

UNLABELLED A recent study observed a survival benefit in men diagnosed with metastatic prostate cancer (mPCa) and managed with local treatment of the primary tumor (LT; either radical prostatectomy plus pelvic lymph node dissection or radiation therapy). We tested the hypothesis that only specific mPCa patients would benefit from LT and that the potential benefit would vary based on primary tumor characteristics. A total of 8197 mPCa patients at diagnosis (M1a, M1b, and M1c) were identified using the Surveillance Epidemiology and End Results database (2004-2011) and were divided according to treatment type: LT versus nonlocal treatment of the primary tumor (NLT; either androgen deprivation therapy or observation). Multivariable Cox regression analysis was used to predict cancer-specific mortality (CSM) in patients that received NLT. To assess whether the benefit of LT was different by baseline risk, we tested an interaction with CSM risk and LT. At multivariable analysis, all predictors were significantly associated with CSM, and the interaction test was statistically significant (p<0.0001). Local treatment of the primary tumor, compared with NLT, conferred a higher CSM-free survival rate in patients with a predicted CSM risk <40%. The number needed to treat according to the predicted CSM risk at 3 yr after diagnosis remained substantially constant from 10% to 30%, whereas it exponentially increased for predicted CSM risk >40%. These results should serve as a foundation for future prospective trials. PATIENT SUMMARY Among metastatic prostate cancer patients, the potential benefit of local treatment to the primary tumor depends greatly on tumor characteristics, and patient selection is essential to avoid either over- or undertreatment.

Predicting survival of patients with node-positive prostate cancer following multimodal treatment

BACKGROUND According to the TNM staging system, patients with prostate cancer (PCa) with lymph node invasion (LNI) are considered a single-risk group. However, not all LNI patients share the same cancer control outcomes. OBJECTIVE To develop and internally validate novel nomograms predicting cancer-specific mortality (CSM)-free rate in pN1 patients. DESIGN, SETTING, AND PARTICIPANTS We evaluated 1107 patients with pN1 PCa treated with radical prostatectomy, pelvic lymph node dissection, and adjuvant therapy at two tertiary care centers between 1988 and 2010. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Univariable and multivariable Cox regression models tested the relationship between CSM and patient clinical and pathologic characteristics, which consisted of prostate-specific antigen (PSA) value, pathologic Gleason score, pathologic tumor stage, status of surgical margins, number of positive lymph nodes, and status of adjuvant therapy. A Cox regression coefficient-based nomogram was developed and internally validated. RESULTS AND LIMITATIONS All 1107 patients received adjuvant hormonal therapy (aHT). Additionally, 35% of patients received adjuvant radiotherapy (aRT). The 10-yr CSM-free rate was 84% in the entire cohort and 87% in patients treated with aRT plus aHT versus 82% in patients treated with aHT alone (p=0.08). At multivariable analyses, PSA value, pathologic Gleason score, pathologic tumor stage, surgical margin status, number of positive lymph nodes, and aRT status were statistically significant predictors of CSM (all p ≤ 0.04). Based on these predictors, nomograms were developed to predict the 10-yr CSM-free rate in the overall patient population and in men with biochemical recurrence. These models showed high discrimination accuracy (79.5-83.3%) and favorable calibration characteristics. These results are limited by their retrospective nature. CONCLUSIONS Some patients with pN1 PCa have favorable CSM-free rates at 10 yr. We developed and internally validated the first nomograms that allow an accurate prediction of the CSM-free rate in these patients at an individual level.

Extended pelvic lymph node dissection in prostate cancer: a 20-year audit in a single center

BACKGROUND We set to assess the impact of stage migration in prostate cancer (PCa) on the evolution of the pN1 rate and tumor characteristics in pN1 patients over the last two decades. PATIENTS AND METHODS We evaluated 5274 PCa patients treated with radical prostatectomy and anatomically extended pelvic lymph node dissection (ePLND) between 1990 and 2010. Year-per-year trends of clinical and pathological characteristics were examined. Logistic regression analyses addressed predictors of pN1. RESULTS The median number of lymph nodes (LNs) removed was 16.0. Overall, the pN1 rate was 13.8% and it decreased from 26.1% to 15.6% between 1990 and 2010 (P < 0.001). For the same period, the pN1 rate changed from 0% to 3% in the low-risk PCa, from 20% to 7% in the intermediate-risk PCa, and from 33% to 44% in the high-risk PCa (P ≤ 0.01). In pN1 patients, pre-operative cancer characteristics and the median number of positive LNs (three in 1990 versus two in 2010) did not significantly change overtime (all P ≥ 0.1). Year of surgery was not an independent predictor of pN1 (all P ≥ 0.06). CONCLUSION Based on ePLND outcomes, contemporary patients with intermediate- and high-risk PCas still harbor a significant LNI risk. In consequence, stage migration does not justify omitting or limiting the extent of PLND in these individuals.

Assessing the Optimal Timing for Early Salvage Radiation Therapy in Patients with Prostate-specific Antigen Rise After Radical Prostatectomy

BACKGROUND Early salvage radiation therapy (eSRT) represents a treatment option for patients who experience a prostate-specific antigen (PSA) rise after radical prostatectomy (RP); however, the optimal PSA level for eSRT administration is still unclear. OBJECTIVE To test the impact of PSA level on cancer control after eSRT according to pathologic tumour characteristics. DESIGN, SETTING, AND PARTICIPANTS The study included 716 node-negative patients with undetectable postoperative PSA who experienced a PSA rise after RP. All patients received eSRT, defined as local radiation to the prostate and seminal vesicle bed, delivered at PSA ≤ 0.5 ng/ml. Biochemical recurrence (BCR) after eSRT was defined as two consecutive PSA values ≥ 0.2 ng/ml. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Multivariable Cox regression analysis tested the association between pre-eSRT PSA level and BCR after eSRT. Covariates consisted of pathologic stage (pT2 vs pT3a vs pT3b or higher), pathologic Gleason score (≤ 6, 7, or ≥ 8), and surgical margin status (negative vs positive). We tested an interaction with PSA level and baseline pathologic risk for the hypothesis that BCR-free survival differed by pre-eSRT PSA level. Three pathologic risk factors were identified: pathologic stage pT3b or higher, pathologic Gleason score ≥ 8, and negative surgical margins. RESULTS AND LIMITATIONS Median follow-up among patients who did not experience BCR after eSRT was 57 mo (interquartile range: 27-105). At 5 yr after eSRT, BCR-free survival rate was 82% (95% confidence interval [CI], 78-85). At multivariable Cox regression analysis, pre-eSRT PSA level was significantly associated with BCR after eSRT (hazard ratio: 4.89; 95% CI, 1.40-22.9; p < 0.0001). When patients were stratified according to the number of risk factors at final pathology, patients with at least two pathologic risk factors showed an increased risk of 5-yr BCR as high as 10% per 0.1 ng/ml of PSA level compared with only 1.5% in patients with one or no pathologic risk factors. CONCLUSIONS In this retrospective study, cancer control after eSRT greatly depended on pretreatment PSA. The absolute PSA level had a different prognostic value depending on the pathologic characteristics of the tumour. In patients with more adverse pathologic features, eSRT conferred better cancer control when administered at the very first sign of PSA rise. Conversely, the benefit of eSRT was less evident in men with favourable disease at RP. PATIENT SUMMARY In this retrospective study, cancer control after early salvage radiation therapy (eSRT) was influenced by pretreatment prostate-specific antigen (PSA) level. This effect was highest in men with at least two of the following pathologic features: pT3b/pT4 disease, pathologic Gleason score ≥ 8, and negative surgical margins. In these patients, eSRT conferred better cancer control when administered at the very first sign of PSA rise.

Multicenter European External Validation of a Prostate Health Index–based Nomogram for Predicting Prostate Cancer at Extended Biopsy

BACKGROUND External validation of a prediction tool is mandatory to assess the tools accuracy and generalizability within different patient cohorts. OBJECTIVE To externally validate a previously developed Prostate Health Index (PHI)-based nomogram for predicting the presence of prostate cancer (PCa) at biopsy. DESIGN, SETTING, AND PARTICIPANTS The study population consisted of 883 patients who were scheduled for a prostate biopsy at one of five European tertiary care centers. Total prostate-specific antigen (tPSA), free prostate-specific antigen (fPSA), and [-2]pro-prostate-specific antigen (p2PSA) levels were determined. The fPSA-to-tPSA ratio (%fPSA), p2PSA, and PHI ([p2PSA / fPSA] × √tPSA) were calculated. INTERVENTION Extended initial and repeat prostate biopsy. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Logistic regression models were fitted to test the predictors of PCa and to determine their predictive accuracy. A calibration plot was used to evaluate the extent of overestimation or underestimation between nomogram predictions and observed PCa rate. Decision curve analysis (DCA) provided an estimate of the net benefit obtained by using the PHI-based nomogram. RESULTS AND LIMITATIONS Of 833 patients, 365 (41.3%) were diagnosed with PCa at extended prostate biopsy. In accuracy analyses, PHI was the most informative predictor of PCa (0.68), outperforming tPSA (0.51) and %fPSA (0.64). The predictive accuracy of the previously developed nomogram was 75.2% (95% confidence interval, 71.4-78.1). Calibration of the nomogram was good in patients at a low to intermediate predicted probability of PCa, while calibration was suboptimal, with a tendency to overestimate the presence of PCa, in high-risk patients. Finally, DCA demonstrated that the use of the PHI-based nomogram resulted in the highest net benefit. The main limitation of the study is the fact that only Caucasian patients were included. CONCLUSIONS At external validation, the previously developed PHI-based nomogram confirmed its ability to determine the presence of PCa at biopsy. These findings provide further evidence supporting the potential role of the nomogram in the biopsy decision pathway for European men with suspected PCa. PATIENT SUMMARY In the current study, we externally validated a Prostate Health Index-based nomogram to predict the presence of prostate cancer (PCa) at biopsy. This tool may help clinicians determine the need for a prostate biopsy in European patients with suspected PCa.

What Is the Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in Excluding Prostate Cancer at Biopsy? A Systematic Review and Meta-analysis from the European Association of Urology Prostate Cancer Guidelines Panel

CONTEXT It remains unclear whether patients with a suspicion of prostate cancer (PCa) and negative multiparametric magnetic resonance imaging (mpMRI) can safely obviate prostate biopsy. OBJECTIVE To systematically review the literature assessing the negative predictive value (NPV) of mpMRI in patients with a suspicion of PCa. EVIDENCE ACQUISITION The Embase, Medline, and Cochrane databases were searched up to February 2016. Studies reporting prebiopsy mpMRI results using transrectal or transperineal biopsy as a reference standard were included. We further selected for meta-analysis studies with at least 10-core biopsies as the reference standard, mpMRI comprising at least T2-weighted and diffusion-weighted imaging, positive mpMRI defined as a Prostate Imaging Reporting Data System/Likert score of ≥3/5 or ≥4/5, and results reported at patient level for the detection of overall PCa or clinically significant PCa (csPCa) defined as Gleason ≥7 cancer. EVIDENCE SYNTHESIS A total of 48 studies (9613 patients) were eligible for inclusion. At patient level, the median prevalence was 50.4% (interquartile range [IQR], 36.4-57.7%) for overall cancer and 32.9% (IQR, 28.1-37.2%) for csPCa. The median mpMRI NPV was 82.4% (IQR, 69.0-92.4%) for overall cancer and 88.1% (IQR, 85.7-92.3) for csPCa. NPV significantly decreased when cancer prevalence increased, for overall cancer (r=-0.64, p<0.0001) and csPCa (r=-0.75, p=0.032). Eight studies fulfilled the inclusion criteria for meta-analysis. Seven reported results for overall PCa. When the overall PCa prevalence increased from 30% to 60%, the combined NPV estimates decreased from 88% (95% confidence interval [95% CI], 77-99%) to 67% (95% CI, 56-79%) for a cut-off score of 3/5. Only one study selected for meta-analysis reported results for Gleason ≥7 cancers, with a positive biopsy rate of 29.3%. The corresponding NPV for a cut-off score of ≥3/5 was 87.9%. CONCLUSIONS The NPV of mpMRI varied greatly depending on study design, cancer prevalence, and definitions of positive mpMRI and csPCa. As cancer prevalence was highly variable among series, risk stratification of patients should be the initial step before considering prebiopsy mpMRI and defining those in whom biopsy may be omitted when the mpMRI is negative. PATIENT SUMMARY This systematic review examined if multiparametric magnetic resonance imaging (MRI) scan can be used to reliably predict the absence of prostate cancer in patients suspected of having prostate cancer, thereby avoiding a prostate biopsy. The results suggest that whilst it is a promising tool, it is not accurate enough to replace prostate biopsy in such patients, mainly because its accuracy is variable and influenced by the prostate cancer risk. However, its performance can be enhanced if there were more accurate ways of determining the risk of having prostate cancer. When such tools are available, it should be possible to use an MRI scan to avoid biopsy in patients at a low risk of prostate cancer.

Preoperative Prostate-specific Antigen Isoform p2PSA and Its Derivatives, %p2PSA and Prostate Health Index, Predict Pathologic Outcomes in Patients Undergoing Radical Prostatectomy for Prostate Cancer: Results from a Multicentric European Prospective Study.

BACKGROUND Currently available predictive models fail to assist clinical decision making in prostate cancer (PCa) patients who are potential candidates for radical prostatectomy (RP). New biomarkers would be welcome. OBJECTIVE To test the hypothesis that prostate-specific antigen (PSA) isoform p2PSA and its derivatives, percentage of p2PSA to free PSA (%p2PSA) and the Prostate Health Index (PHI), predict PCa characteristics at final pathology. DESIGN, SETTING, AND PARTICIPANTS An observational prospective multicentre European study was performed in 489 consecutive PCa patients treated with RP. Total PSA (tPSA), free PSA (fPSA), and p2PSA levels were determined. The %fPSA [(fPSA / tPSA) × 100], %p2PSA [(p2PSA pg/ml) / (fPSA ng/ml × 1000) × 100], and PHI [(p2PSA / fPSA) × √tPSA] were calculated. INTERVENTION Open or robot-assisted RP. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Logistic regression models were fitted to test the predictors of pT3 stage and/or pathologic Gleason score (GS) ≥7 and to determine their predictive accuracy. The base multivariable model included tPSA, digital rectal examination, biopsy GS, and percentage of positive biopsy cores. Decision curve analysis provided an estimate of the net benefit obtained using p2PSA, %p2PSA, or PHI. RESULTS AND LIMITATIONS Overall, 344 patients (70%) were affected by pT3 disease or pathologic GS ≥7; pT3 disease and pathologic GS ≥7 were present in 126 patients (26%). At univariable analysis, p2PSA, %p2PSA, and PHI were significant predictors of pT3 disease and/or pathologic GS ≥7 (all p ≤ 0.001). The inclusion of PHI significantly increased the accuracy of the base multivariable model by 2.3% (p=0.003) and 2.4% (p=0.01) for the prediction of pT3 disease and/or pathologic GS ≥7, respectively. However, at decision curve analysis, models including PHI did not show evidence of a greater clinical net benefit. CONCLUSIONS Both %p2PSA and PHI are significant predictors of unfavourable PCa characteristics at final pathology; however, %p2PSA and PHI did not provide a greater net benefit for clinical decision making. PATIENT SUMMARY Prostate-specific antigen (PSA) isoform p2PSA and its derivatives, percentage of p2PSA to free PSA and the Prostate Health Index, are associated with adverse characteristics of prostate cancer; however, these biomarkers provided only a slight net benefit for clinical decision making.