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Importance Stratifying patients with biochemical recurrence (BCR) after primary treatment for prostate cancer based on the risk of prostate cancer–specific mortality (PCSM) is essential for determining the need for further testing and treatments. Objective To evaluate the association of BCR after radical prostatectomy or radiotherapy and its current risk stratification with PCSM. Design, Setting, and Participants This population-based cohort study included a total of 16 311 male patients with 10 364 (64%) undergoing radical prostatectomy and 5947 (36%) undergoing radiotherapy with curative intent (cT1-3, cM0) and PSA follow-up in Stockholm, Sweden, between 2003 and 2019. Follow-up for all patients was until death, emigration, or end of the study (ie, December 31, 2018). Data were analyzed between September 2022 and March 2023. Main Outcomes and Measures Primary outcomes of the study were the cumulative incidence of BCR and PCSM. Patients with BCR were stratified in low- and high-risk according to European Association of Urology (EAU) criteria. Exposures Radical prostatectomy or radiotherapy. Results A total of 16 311 patients were included. Median (IQR) age was 64 (59-68) years in the radical prostatectomy cohort (10 364 patients) and 69 (64-73) years in the radiotherapy cohort (5947 patients). Median (IQR) follow-up for survivors was 88 (55-138) months and 89 (53-134) months, respectively. Following radical prostatectomy, the 15-year cumulative incidences of BCR were 16% (95% CI, 15%-18%) for the 4024 patients in the low D’Amico risk group, 30% (95% CI, 27%-32%) for the 5239 patients in the intermediate D’Amico risk group, and 46% (95% CI, 42%-51%) for 1101 patients in the high D’Amico risk group. Following radiotherapy, the 15-year cumulative incidences of BCR were 18% (95% CI, 15%-21%) for the 1230 patients in the low-risk group, 24% (95% CI, 21%-26%) for the 2355 patients in the intermediate-risk group, and 36% (95% CI, 33%-39%) for the 2362 patients in the high-risk group. The 10-year cumulative incidences of PCSM after radical prostatectomy were 4% (95% CI, 2%-6%) for the 1101 patients who developed low-risk EAU-BCR and 9% (95% CI, 5%-13%) for 649 patients who developed high-risk EAU-BCR. After radiotherapy, the 10-year PCSM cumulative incidences were 24% (95% CI, 19%-29%) for the 591 patients in the low-risk EAU-BCR category and 46% (95% CI, 40%-51%) for the 600 patients in the high-risk EAU-BCR category. Conclusions and Relevance These findings suggest the validity of EAU-BCR stratification system. However, while the risk of dying from prostate cancer in low-risk EAU-BCR after radical prostatectomy was very low, patients who developed low-risk EAU-BCR after radiotherapy had a nonnegligible risk of prostate cancer mortality. Improving risk stratification of patients with BCR is pivotal to guide salvage treatment decisions, reduce overtreatment, and limit the number of staging tests in the event of PSA elevations after primary treatment.

Individual growth patterns and cribriform architecture are increasingly considered in risk stratification and clinical decision-making in men with prostate cancer. Our objective was to establish the prognostic value of individual Gleason 5 patterns in a radical prostatectomy (RP) cohort. We reviewed 1064 RPs and recorded Grade Group (GG), pT-stage, surgical margin status, Gleason 4 and 5 growth patterns as well as intraductal carcinoma. The clinical endpoints were biochemical recurrence and post-operative distant metastasis. Gleason pattern 5 was present in 339 (31.9%) RPs, of which 47 (4.4%) presented as primary, 166 (15.6%) as secondary, and 126 (11.8%) as tertiary pattern. Single cells/cords were present in 321 (94.7%) tumors with Gleason pattern 5, solid fields in 90 (26.5%), and comedonecrosis in invasive carcinoma in 32 (9.4%) tumors. Solid fields demonstrated either a small nested morphology (n = 50, 14.7%) or medium to large solid fields (n = 61, 18.0%). Cribriform architecture was present in 568 (53.4%) RPs. Medium to large solid fields and comedonecrosis coincided with cribriform architecture in all specimens, and were not observed in cribriform-negative cases. In multivariable analysis adjusted for Prostate-Specific Antigen, pT-stage, GG, surgical margin status and lymph node metastases, cribriform architecture (Hazard Ratio (HR) 9.9; 95% Confidence Interval (CI) 3.9–25.5, P < 0.001) and comedonecrosis (HR 2.1, 95% CI 1.2–3.7, P = 0.01) were independent predictors for metastasis-free survival, while single cells/cords (HR 1.2; 95% CI 0.7–1.8, P = 0.55) and medium to large solid fields (HR 1.6, 95% CI 0.9–2.7, P = 0.09) were not. In conclusion, comedonecrosis in invasive carcinoma is an independent prognostic Gleason 5 pattern for metastasis-free survival after RP. These data support the current recommendations to routinely include cribriform pattern in pathology reports and indicate that comedonecrosis should also be commented on.

PurposeTo evaluate the health-related quality of life (HRQoL) of Japanese men on active surveillance (AS) in the Prostate cancer Research International Active Surveillance study in Japan (PRIAS-JAPAN).MethodsParticipants were included in the PRIAS-JAPAN HRQoL study between January 2010 and March 2016. Their general HRQoL was assessed using a validated Japanese version of the Short-Form 8 Health Survey (SF-8) at enrolment and annually thereafter until discontinuation of AS. The SF-8 mental component summary (MCS) and physical component summary (PCS) of men on AS were compared with scores of the general population (norm-based score [NBS]: 50) and MCS and PCS scores for men following AS were analysed over time. We tested whether MCS and PCS scores over time explained discontinuation of AS.ResultsFive hundred and twenty-five patients enrolled, and the median age at baseline was 68 years. At enrolment and after 1-, 2-, and 3-year follow-ups, the PCS and MCS scores were significantly higher than the NBS of the general Japanese population except for the median PCS at 3 years. We found that age at diagnosis and time on AS negatively affected the PCS score of men on AS, while every additional year on AS led to a 0.27 point increase in MCS scores. Neither PCS nor MCS were predictors for discontinuation of AS.ConclusionJapanese men following an AS strategy for 3 years reported better HRQoL compared with the general population, indicating that monitoring Japanese low-risk prostate cancer patients can be an effective treatment strategy.Study registrationClinical trial registry—UMIN (University Hospital Medical Information Network); UMIN000002874 (2009/12/11)

BackgroundThe diagnosis of (significant) prostate cancer ((s)PC) is impeded by overdiagnosis and unnecessary biopsy. Risk calculators (RC) have been developed to mitigate these issues. Contemporary RCs integrate clinical characteristics with mpMRI findings.ObjectiveTo validate two of these models—the MRI-ERSPC-RC-3/4 and the risk model of van Leeuwen.Methods265 men with clinical suspicion of PC were enrolled. Every patient received a prebiopsy mpMRI, which was reported according to PI-RADS v2.1, followed by MRI/TRUS fusion-biopsy. Cancers with ISUP grade ≥ 2 were classified as sPC.Outcome measurements and statistical analysisStatistical analysis was performed by comparing discrimination, calibration, and clinical utilityResultsThere was no significant difference in discrimination between the RCs. The MRI-ERSPC-RC-3/4-RC showed a nearly ideal calibration-slope (0.94; 95% CI 0.68–1.20) than the van Leeuwen model (0.70; 95% CI 0.52–0.88). Within a threshold range up to 9% for a sPC, the MRI-ERSPC-RC-3/4-RC shows a greater net benefit than the van Leeuwen model. From 10 to 15%, the van Leeuwen model showed a higher net benefit compared to the MRI-ERSP-3/4-RC. For a risk threshold of 15%, the van Leeuwen model would avoid 24% vs. 14% compared to the MRI-ERSPC-RC-3/4 model; 6% vs. 5% sPC would be overlooked, respectively.ConclusionBoth risk models supply accurate results and reduce the number of biopsies and basically no sPC were overlooked. The van Leeuwen model suggests a better balance between unnecessary biopsies and overlooked sPC at thresholds range of 10–15%. The MRI-ERSPC-RC-3/4 risk model provides better overall calibration.

Objectives To recalibrate and validate the European Randomized Study of Screening for Prostate Cancer risk calculators (ERSPC RCs) 3/4 and the magnetic resonance imaging (MRI)‐ERSPC‐RCs to a contemporary Norwegian setting to reduce upfront prostate multiparametric MRI (mpMRI) and prostate biopsies. Patients and Methods We retrospectively identified and entered all men who underwent prostate mpMRI and subsequent prostate biopsy between January 2016 and March 2017 in a Norwegian centre into a database. mpMRI was reported using PI‐RADS v2.0 and clinically significant prostate cancer (csPCa) defined as Gleason ≥ 3 + 4. Probabilities of csPCa and any prostate cancer (PCa) on biopsy were calculated by the ERSPC RCs 3/4 and the MRI‐ERSPC‐RC and compared with biopsy results. RCs were then recalibrated to account for differences in prevalence between the development and current cohorts (if indicated), and calibration, discrimination and clinical usefulness assessed. Results Three hundred and three patients were included. The MRI‐ERSPC‐RCs were perfectly calibrated to our cohort, although the ERSPC RCs 3/4 needed recalibration. Area under the receiver operating curve (AUC) for the ERSPC RCs 3/4 was 0.82 for the discrimination of csPCa and 0.77 for any PCa. The AUC for the MRI‐ERSPC‐RCs was 0.89 for csPCa and 0.85 for any PCa. Decision curve analysis showed clear net benefit for both the ERSPC RCs 3/4 (>2% risk of csPCa threshold to biopsy) and for the MRI‐ERSPC‐RCs (>1% risk of csPCa threshold), with a greater net benefit for the MRI‐RCs. Using a >10% risk of csPCa or 20% risk of any PCa threshold for the ERSPC RCs 3/4, 15.5% of mpMRIs could be omitted, missing 0.8% of csPCa. Using the MRI‐ERSPC‐RCs, 23.4% of biopsies could be omitted with the same threshold, missing 0.8% of csPCa. Conclusion The ERSPC RCs 3/4 and MRI‐ERSPC‐RCs can considerably reduce both upfront mpMRI and prostate biopsies with little risk of missing csPCa.

Background: Prospective trials provide robust evidence for prostate cancer (PCa) treatment but often include highly selective populations, limiting generalizability. Real-world data (RWD) can address these gaps and inform personalized care. Objectives: This study aimed to evaluate treatment-free survival (TFS) and secondary treatment sequences after initial curative therapy for PCa using electronic health record (EHR) data and to analyze associated medication profiles. Methods: We studied 3024 patients treated with radical prostatectomy (RP), brachytherapy (BT), or curative radiotherapy (RT) at Erasmus MC (2009–2023), the Netherlands. Outcomes included TFS, treatment sequences, and medication patterns across treatment lines. Results: Median age at diagnosis was 65 years (IQR 61–69) for RP, 68 (62–73) for BT, and 72 (68–76) for RT. At 10 years, TFS was 89% (95% CI: 84.9–94.1) for BT, 85% (95% CI: 83–87) for RT, and 71% (95% CI: 65.7–75.8) for RP. Most patients remained treatment-free, but up to five treatment lines occurred, mainly in patients with low comorbidity scores. Medication profiles reflected treatment-related morbidity: alpha-blocker use increased after BT and RT, while bladder relaxants were common after RP. Comorbidity-related medication use remained low among patients undergoing multiple sequenced treatments. Conclusions: These findings highlight the real-world application of multiple secondary treatments after different primary curative therapy options for PCa and associated comorbidity and medication use patterns. They confirm the durability and long-term effectiveness of curative treatments in real-world PCa care. By combining treatment trajectories and medication profiles, RWD provides insights for personalized counseling, helping clinicians and patients anticipate long-term treatment needs, and enabling informed decisions aligned with health status and preferences.

Background Men diagnosed with localized prostate cancer (PCa) on active surveillance (AS) have shown to cope with anxiety caused by living with an ‘ untreated cancer ’ and different factors can influence the tolerance level for anxiety in these patients. The present study analyzes Italian (Milan) and Dutch (Rotterdam) men prospectively included in the Prostate cancer International Active Surveillance (PRIAS) trial, aiming to explore whether socio-demographic factors (i.e. age, relationship status, education, nationality) may be relevant factors in conditioning the level of anxiety at AS entry and over time. Methods Italian and Dutch men participating in the IRB-approved PRIAS study, after signing an informed consent, filled in the Memorial Anxiety Scale for PCa (MAX-PC) at multiple time points after diagnosis. A linear mixed model was used to assess the relationship between the level of patient’s anxiety and time spent on AS, country of origin, the interaction between country and time on AS, patients’ relationship status and education, on PCa anxiety during AS. Results 823 MAX-PC questionnaires were available for Italian and 307 for Dutch men, respectively. Median age at diagnosis was 64 years (IQR 60–70 years) and did not differ between countries. On average, Dutch men had a higher total MAX-PC score than Italian men. However, the level of their anxiety decreased over time. Dutch men on average had a higher score on the PCa anxiety sub-domain, which did not decrease over time. Minimal differences were observed in the sub-domains PSA anxiety and fear of recurrence. Conclusion Significant differences in PCa anxiety between the Italian and Dutch cohorts were observed, the latter group of men showing higher overall levels of anxiety. These differences were not related to the socio-demographic factors we studied. Although both PRIAS-centers are dedicated AS-centers, differences in PCa-care organization (e.g. having a multidisciplinary team) may have contributed to the observed different level of anxiety at the start and during AS. Trial registration This study is registered in the Dutch Trial Registry ( www.trialregister.nl ) under NL1622 (registration date 11-03-2009), ‘PRIAS: Prostate cancer Research International: Active Surveillance—guideline and study for the expectant management of localized prostate cancer with curative intent’.

Background: Urinary incontinence is a prevalent form of pelvic floor dysfunction, with a non-negligible impact on a patient’s quality of life. There are several treatment options, varying from conservative to invasive. The aim of this study is to predict treatment outcomes of pure or predominant urge urinary incontinence (UUI) in women to support shared decision-making and manage patient expectations. Methods: Data on patient characteristics, disease history, and investigations of 512 consecutive women treated for UUI in three hospitals in the Netherlands were retrospectively collected. The predicted outcome was the short-term subjective continence outcome, defined as patient-reported continence 3 months after treatment categorized as cure (no urinary leakage), improvement (any degree of improvement of urinary leakage), and failure (no improvement or worsening of urinary leakage). Multivariable ordinal regression with backward stepwise selection was performed to analyze association between outcome and patient’s characteristics. Interactions between patient characteristics and treatment were added to estimate individual treatment benefit. Discriminative ability was assessed with the ordinal c-statistic. Results: Conservative treatment was applied in 12% of the patients, pharmacological in 62%, and invasive in 26%. Subjective continence outcome was cure, improvement, and failure in 20%, 49%, and 31%, respectively. Number of incontinence episodes per day, voiding frequency during the day, subjective quantity of UI, coexistence of stress urinary incontinence (SUI), night incontinence, and bladder capacity and the interactions between these variables were included in the model. After internal validation, the ordinal c-statistic was 0.699. Conclusions: Six variables were of value to predict pure or predominant UUI treatment outcome in women. Further development into a comprehensive set of models for the use in various pelvic floor disorders and treatments is recommended to optimize individualized care. This model requires external validation before implementation in clinical practice.

Castration-resistant prostate cancer (CRPC) remains an incurable and lethal malignancy. The development of new CRPC treatment strategies is strongly impeded by the scarcity of representative, scalable and transferable preclinical models of advanced, androgen receptor (AR)-driven CRPC. Here, we present contemporary patient-derived xenografts (PDXs) and matching PDX-derived organoids (PDXOs) from CRPC patients who had undergone multiple lines of treatment. These models were comprehensively profiled at the morphologic, genomic (n = 8) and transcriptomic levels (n = 81). All are high-grade adenocarcinomas that exhibit copy number alterations and transcriptomic features representative of CRPC patient cohorts. We identified losses of PTEN and RB1, MYC amplifications, as well as genomic alterations in TP53 and in members of clinically actionable pathways such as AR, PI3K and DNA repair pathways. Importantly, the clinically observed continued reliance of CRPC tumors on AR signaling is preserved across the entire set of models, with AR amplification identified in four PDXs. We demonstrate that PDXs and PDXOs faithfully reflect donor tumors and mimic matching patient drug responses. In particular, our models predicted patient responses to subsequent treatments and captured sensitivities to previously received therapies. Collectively, these PDX-PDXO pairs constitute a reliable new resource for in-depth studies of treatment-induced, AR-driven resistance mechanisms. Moreover, PDXOs can be leveraged for large-scale tumor-specific drug response profiling critical for accelerating therapeutic advances in CRPC.

The European Randomized Study of Screening for Prostate Cancer (ERSPC) was initiated in 1993 to assess the effect of prostate-specific antigen (PSA) testing on prostate cancer mortality. Because deaths from prostate cancer are expected to rise worldwide owing to increased life expectancy and population growth, a final analysis of the long-term outcomes of prostate cancer screening is essential to understanding the benefits and harms of PSA testing. We updated the findings from ERSPC, a multicenter, randomized study conducted across eight European countries with a focus on a predefined core age group of 162,236 men who were 55 to 69 years of age at the time of randomization. Participants were randomly assigned to the screening group and offered repeated PSA testing or to the control group and not invited for screening. The primary outcome was prostate cancer mortality. After a median follow-up of 23 years, prostate cancer mortality was 13% lower in the screening group (rate ratio, 0.87; 95% confidence interval [CI], 0.80 to 0.95), and the absolute risk reduction was 0.22% (95% CI, 0.10 to 0.34). The cumulative incidence of prostate cancer was higher in the screening group than in the control group (rate ratio, 1.30; 95% CI, 1.26 to 1.33). At a median of 23 years of follow-up, one death from prostate cancer was prevented for every 456 men (95% CI, 306 to 943) who were invited for screening, and one death from prostate cancer was averted for every 12 men (95% CI, 8 to 26) in whom prostate cancer was diagnosed, as compared with one death from prostate cancer prevented for every 628 men (95% CI, 419 to 1481) and one death averted for every 18 men (95% CI, 12 to 45) at 16 years of follow-up. Long-term follow-up confirms a sustained reduction in deaths from prostate cancer with PSA testing, alongside an improved harm-benefit ratio. Future screening strategies should adopt risk-based approaches to minimize overdiagnosis while maintaining clinical benefits. (Funded by the Dutch Cancer Society and others; ERSPC ISRCTN registry number, ISRCTN49127736.).