Race has no impact on prostate cancer-specific mortality, when comparing patients with similar risk of other-cause mortality: An analysis of a population-based cohort.

BACKGROUND: Other-cause mortality (OCM) can serve as a surrogate for access-to-care. The authors sought to compare prostate cancer-specific mortality (PCSM) in Black versus White men matched based on their calculated OCM risk. METHODS: The Surveillance, Epidemiology, and End Results (SEER) database was queried for Black and White men diagnosed with prostate cancer between 2004 to 2009, to collect long-term follow-up. A Cox regression was used to calculate the OCM risk using all available covariates. This calculated OCM risk was used to construct a 1:1 propensity score matched (PSM) cohort. Then, a competing-risks multivariable tested the impact of race on PCSM. RESULTS: A total of 94,363 patients were identified, with 19,398 Black men and 74,965 White men. The median (IQR) follow-up was 11.3 years (9.8-12.8). In the unmatched-cohort at 10-years, PCSM and OCM were 5.5% versus 3.5% and 13.8% versus 8.4% in non-Hispanic Black (NHB) versus non-Hispanic White (NHW) patients (all p < .0001). The standardized mean difference was <0.15 for all covariates, indicating a good match. In the matched cohort at 10-years, OCM was 13.6% and 10.0% in NHB versus NHW (p < .0001), whereas the PCSM was 5.3% versus 4.7% (p < .01). On competing-risks multivariable analysis on PCSM, Black men had a hazard ratio of 1.08 (95% confidence interval, 0.98-1.20) compared to White men with a p = .13. CONCLUSIONS: The results of this study showed similar PCSM in Black and White patients, when matched with their calculated OCM risk. This report is the first to indicate at a population-based level that race has no impact on PCSM. PLAIN LANGUAGE SUMMARY: Prostate cancer is a very common cancer among men and it is associated with health disparities that disproportionately impact Black men compared to White men. There is an on-going discussion of whether disparities between these two groups stem from genetic or environmental factors. This study sought to examine if matching based on overall health status, a proxy for the impact of social determinants of health, mitigated significant differences in outcomes. When matched using risk of death from any cause other than prostate cancer, Black and White men had no significant differences in prostate cancer death.

Management and Oncologic Outcomes of Incidental Prostate Cancer After Transurethral Resection of the Prostate in Denmark.

PURPOSE: Approximately 1 in 10 patients without prior prostate biopsy undergoing surgery for lower urinary tract symptoms harbors incidental prostate cancer; however, practice guidelines do not provide recommendations for its management. We aimed at describing the oncologic outcomes of patients with Grade Group (GG) 1 and GG2 prostate cancer diagnosed at transurethral resection of the prostate (TURP). MATERIALS AND METHODS: This was a nationwide, population-based, observational study of patients undergoing TURP in Denmark from 2006 to 2022 using the Danish Prostate Registry. We estimated the cumulative incidence of further biopsies and MRI, curative treatment, endocrine treatment, and cause-specific mortality with competing risk analyses. RESULTS: Among 24,494 patients who underwent TURP, there were 1016 men with GG1 and 381 with GG2 prostate cancer. The 5-year cumulative incidence of further MRIs or biopsies was 36% (95% CI 33%-39%) for GG1 and 30% (95% CI 25%-34%) for GG2 disease. Fifteen-year prostate cancer mortality was 8.4% (95% CI 5.3%-11%) for GG1 and 14% (7.5%-21%) for GG2. A total of 270 men with GG1 disease underwent a biopsy after the TURP, and 162 (60%) had no cancer; in this group, prostate cancer mortality after 15 years was 0.6% (95% CI 0%-1.8%). Men with post-TURP biopsy ≥ GG2 had a prostate cancer mortality of 30% (95% CI 9%-50%) 15 years post TURP. The major limitation was the heterogeneous follow-up, which could lead to an overestimation of prostate cancer mortality compared to a more standardized follow-up. CONCLUSIONS: We observed high prostate cancer mortality after TURP with GG1 or GG2, likely due to unsampled high-grade cancer in the peripheral zone. Patients with incidental prostate cancer should be further investigated to rule out high-grade cancer. For patients with GG1 on TURP, once a subsequent biopsy does not show cancer, follow-up should be lessened similar to that of patients with an initial nonmalignant biopsy.

Prognostic value of 17-Gene genomic prostate score in patients with clinically localized prostate cancer: a meta-analysis.

BACKGROUND: The 17-gene Genomic Prostate Score (GPS) test has been clinically employed to predict adverse prognosis in prostate cancer. In this meta-analysis, we aimed to evaluate the prognostic value of the 17-gene GPS in patients with prostate cancer. METHODS: Potentially relevant studies were obtained by searching PubMed, Web of Science, Embase databases from their inception to December 1, 2023. Studies were considered eligible if they evaluated the association of the 17-gene GPS with distant metastases, biochemical recurrence, or prostate cancer-specific mortality (PCSM) in prostate cancer patients. To estimate the prognostic value, we pooled the adjusted hazard ratio (HR) with 95% confidence intervals (CI) for the high versus low GPS group or per 20-unit increase in GPS. RESULTS: Seven cohort studies that reported on 8 articles comprising 1,962 patients satisfied the eligibility criteria. Meta-analysis showed that per 20-unit increase in GPS was significantly associated with distant metastases (HR 2.99; 95% CI 1.97-4.53), biochemical recurrence (HR 2.18; 95% CI 1.64-2.89), and PCSM (HR 3.14; 95% CI 1.86-5.30). Moreover, patients with high GPS (> 40 points) had an increased risk of distant metastases (HR 5.22; 95% CI 3.72-7.31), biochemical recurrence (HR 4.41; 95% CI 2.29-8.49), and PCSM (HR 3.81; 95% CI 1.74-8.33) than those with low GPS (≤ 40 points). CONCLUSIONS: A higher 17-gene GPS significantly predicts distant metastases, biochemical recurrence, and PCSM in men with clinically localized prostate cancer. However, large-scale multicenter prospective studies are necessary to further validate these findings.

How socioeconomic and clinical factors impact prostate-cancer-specific and other-cause mortality in prostate cancer stratified by clinical stage: Competing-risk analysis.

BACKGROUND: The aim of this study was to analyze the causes of death and risk factors of prostate-cancer-specific mortality (PCSM) and other-cause mortality (OCM) at different clinical stages using data from the Surveillance, Epidemiology, and End Results database. METHODS: The characteristics and cause-specific death classifications of males with prostate cancer (PCa) were extracted. Multivariate competing-risk regression analysis was used to identify significant predictors and quantify the cumulative incidence of PCSM and OCM at different clinical stages. RESULTS: Of the 244,433 PCa patients who were included, 19,274 died from 7356 PCSM, and 11,918 from OCM. The proportion of PCSM gradually increased from 2010 to 2016. The risk factors for PCSM in the localized PCa stage included older age, not being married, living in a county with higher poverty rates, and higher PSA levels and Gleason scores. Meanwhile, Medicaid and lower education levels were the additional risk factors of OCM. The risk factors for PCSM in the regional PCa stage included older age, not being married, Medicaid, living in a county with higher poverty rates, and higher PSA levels and Gleason scores. Meanwhile, the income level did not affect OCM risk. The risk factors for PCSM in the distant metastatic PCa stage included a separated/divorced/widowed marital status, Medicaid, and higher PSA levels and Gleason scores. Meanwhile, older age, an unmarried or separated/divorced/widowed marital status, and higher PSA levels were risk factors for OCM. In addition, receiving both surgery and radiation was worse than just receiving surgery for PCa specific survival in localized and regional PCa patients. CONCLUSION: Some pretreatment and treatment factors may influence OCM that are not identical to those for PCSM at the corresponding stage. Decision-makers and managers should fully consider OCM to maximize treatment benefits for PCa.

Early-onset prostate cancer is associated with increased risks of disease progression and cancer-specific mortality.

OBJECTIVE: Prostate cancer (PCa) incidence has stabilized but not in patients at a young age. We assessed patient characteristics and disease progression in early-onset PCa. METHODS: A retrospective cohort of 28,039 newly diagnosed PCa patients aged ≥35 years was constructed using the Taiwan Cancer Registry in 2008-2016. Patients were categorized by age at diagnosis (≤54, 55-59, 60-69, 70-74, and ≥75 years). The clinical stage at diagnosis, Gleason score, prostate-specific antigen level at diagnosis, Charlson's comorbidity index, and primary and secondary treatments for PCa were included in the analysis. All-cause mortality and prostate cancer-specific mortality (PCSM) were reported. Hazard ratios (HRs) and 95% confidence intervals (CIs) estimating the risks of death and of receiving secondary cancer treatment were generated by Cox hazard models. RESULTS: In patients aged ≤54, 55-59, and 60-69 years, about 60% of them in each group were classified into the high-risk, very high-risk, or metastatic group. However, young patients ≤54 years had a higher risk of PCSM than patients aged 60-69 years (HR = 1.22; 95% CI = 1.10-1.49). This trend of an increased risk in PCSM remained for high-risk, very high-risk, or metastatic patients (HR = 1.24; 95% CI = 1.01-1.51), but not in low- or intermediate-risk patients. Besides, young patients diagnosed with high-risk diseases had the highest risk of receiving secondary cancer treatment within 180 days after completing primary treatment among all age groups (HR = 1.32; 95% CI = 1.07-1.63). CONCLUSIONS: PCa arising in young patients ≤54 years of age, especially those with a high risk or metastatic form, might be more aggressive than that in other age groups.

Prostate-specific antigen levels of ≤4 and >4 ng/mL and risk of prostate cancer-specific mortality in men with biopsy Gleason score 9 to 10 prostate cancer.

BACKGROUND: Defining workup beyond usual clinical practice that may improve treatment outcomes in men with a prostate-specific antigen (PSA) level of ≤4 ng/mL (vs >4 ng/mL) and Gleason score (GS) 9 to 10 prostate cancer (PC) remains to be determined. METHODS: Between February 25, 1992, and February 25, 2016, 17,632 men with clinical T1-4 PC with a biopsy GS of 6 to 10 underwent radical prostatectomy at a single academic center. Multivariable Fine and Gray regressions were used to evaluate the risk of prostate cancer-specific mortality (PCSM) with an interaction model evaluating the prognostic significance of PSA ≤ 4 ng/mL versus PSA > 4 ng/mL among men with PC with a biopsy GS of 9 to 10 versus ≤8, with adjustments made for the time-dependent use of adjuvant and/or salvage radiation therapy and androgen deprivation therapy (ADT) in addition to known PC prognostic factors. RESULTS: There was a significant interaction in men with a biopsy GS of 9 to 10 versus ≤8 and a PSA level of ≤4 ng/mL versus >4 ng/mL (adjusted hazard ratio [AHR], 2.87; 95% confidence interval [CI], 1.02-8.08; P = .046). Specifically, among men with a biopsy GS of 9 to 10 and a PSA level of ≤4 ng/mL versus >4 ng/mL, there was a significantly higher rate of PCSM (AHR, 2.59; 95% CI, 1.19-5.67; P = .017); however, there was no significant difference in the risk of PCSM in men with a biopsy GS ≤ 8 and a PSA level of ≤4 ng/mL versus >4 ng/mL (AHR, 0.90; 95% CI, 0.46-1.78; P = .771). Moreover, the time-dependent use of postoperative ADT was also associated with an increased risk of PCSM (AHR, 10.76; 95% CI, 6.88-16.81; P < .0001). CONCLUSIONS: Some men with PSA ≤ 4 ng/mL and a biopsy GS of 9 to 10 may have pathologic or genetic variants that make them less amenable to a cure with current standards of care. Additional workup assessing for small cell, neuroendocrine, and genetic variants should be considered.

Comparative performance and external validation of the multivariable PREDICT Prostate tool for non-metastatic prostate cancer: a study in 69,206 men from Prostate Cancer data Base Sweden (PCBaSe).

BACKGROUND: PREDICT Prostate is an endorsed prognostic model that provides individualised long-term prostate cancer-specific and overall survival estimates. The model, derived from UK data, estimates potential treatment benefit on overall survival. In this study, we externally validated the model in a large independent dataset and compared performance to existing models and within treatment groups. METHODS: Men with non-metastatic prostate cancer and prostate-specific antigen (PSA) < 100 ng/ml diagnosed between 2000 and 2010 in the nationwide population-based Prostate Cancer data Base Sweden (PCBaSe) were included. Data on age, PSA, clinical stage, grade group, biopsy involvement, primary treatment and comorbidity were retrieved. Sixty-nine thousand two hundred six men were included with 13.9 years of median follow-up. Fifteen-year survival estimates were calculated using PREDICT Prostate for prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM). Discrimination was assessed using Harrell's concordance (c)-index in R. Calibration was evaluated using cumulative available follow-up in Stata (TX, USA). RESULTS: Overall discrimination of PREDICT Prostate was good with c-indices of 0.85 (95% CI 0.85-0.86) for PCSM and 0.79 (95% CI 0.79-0.80) for ACM. Overall calibration of the model was excellent with 25,925 deaths predicted and 25,849 deaths observed. Within the conservative management and radical treatment groups, c-indices for 15-year PCSM were 0.81 and 0.78, respectively. Calibration also remained good within treatment groups. The discrimination of PREDICT Prostate significantly outperformed the EAU, NCCN and CAPRA scores for both PCSM and ACM within this cohort overall. A key limitation is the use of retrospective cohort data. CONCLUSIONS: This large external validation demonstrates that PREDICT Prostate is a robust and generalisable model to aid clinical decision-making.

Survival and mortality of elderly men with localized prostate cancer managed with primary androgen deprivation therapy or by primary observation.

BACKGROUND: Androgen deprivation therapy (ADT) remains a primary treatment for localized prostate cancer (PCa) even though there is no evidence that its use is beneficial in the absence of curative treatment. METHODS: Men aged ≥70 years (n = 16,534) diagnosed with localized PCa from 1985 to 2014 and managed either with primary observation or ADT in the absence of curative treatment were included. The cases were identified from the population-based Finnish Cancer Registry. We estimated the standardized mortality ratios (SMR) for overall mortality by treatment group. We determined the relative risk (RR) of PCa-specific mortality (PCSM) and other-cause mortality between the two treatment groups. Survival was determined using the life table method. Two age groups (70-79 years and ≥ 80 years) and three calendar time cohorts (1985-1994, 1995-2004, and 2005-2014) were compared following adjustment of propensity score matching between the treatment groups with four covariates (age, year of diagnosis, educational level, and hospital district). Follow-up continued until death or until December 31, 2015. RESULTS: Patients in the observation group had lower overall SMRs than those in the ADT group in both age cohorts over the entire study period. PCSM was higher in men aged 70-79 years undergoing primary ADT compared to those managed by observation only (RR: 1.70, 95% confidence interval [CI]: 1.29-2.23 [1985-1994]; RR 1.55, 95% CI: 1.35-1.84 [1995-2004]; and RR 2.71, 95% CI: 2.08-3.53 [2005-2014]); p = 0.005 for periodic trend. A similar trend over time was also observed in men aged > 80 years; (p for age-period interaction = 0.237). Overall survival was also higher among men in their 70's managed by observation compared to those undergoing ADT. CONCLUSIONS: Primary ADT within four months period from diagnosis is not associated with improved long-term overall survival or decreased PCSM compared to primary conservative management for men with localized PCa. However, this observational study's conclusions should be weighted with confounding factors related to cancer aggressiveness and comorbidities.

First-year weight loss with androgen-deprivation therapy increases risks of prostate cancer progression and prostate cancer-specific mortality: results from SEARCH.

PURPOSE: We aimed to study the associations between androgen-deprivation therapy (ADT)-induced weight changes and prostate cancer (PC) progression and mortality in men who had undergone radical prostatectomy (RP). METHODS: Data from the Shared Equal Access Regional Cancer Hospital (SEARCH) cohort were used to study the associations between weight change approximately 1-year post-ADT initiation and metastases, castration-resistant prostate cancer (CRPC), all-cause mortality (ACM), and PC-specific mortality (PCSM) in 357 patients who had undergone RP between 1988 and 2014. We estimated hazard ratios (HR) and 95% confidence intervals (95% CI) using covariate-adjusted Cox regression models for associations between weight loss, and weight gains of 2.3 kg or more, and PC progression and mortality post-ADT. RESULTS: During a median (IQR) follow-up of 81 (46-119) months, 55 men were diagnosed with metastases, 61 with CRPC, 36 died of PC, and 122 died of any cause. In multivariable analysis, weight loss was associated with increases in risks of metastases (HR 3.13; 95% CI 1.40-6.97), PCSM (HR 4.73; 95% CI 1.59-14.0), and ACM (HR 2.16; 95% CI 1.25-3.74) compared with mild weight gains of ≤ 2.2. Results were slightly attenuated but remained statistically significant in analyses that accounted for competing risks of non-PC death. Estimates for the associations between weight gains of ≥ 2.3 kg and metastases (HR 1.58; 95% CI 0.73-3.42), CRPC (HR 1.33; 95% CI 0.66-2.66), and PCSM (HR 2.44; 95% CI 0.84-7.11) were elevated, but not statistically significant. CONCLUSIONS: Our results suggest that weight loss following ADT initiation in men who have undergone RP is a poor prognostic sign. If confirmed in future studies, testing ways to mitigate weight loss post-ADT may be warranted.

The impact of socioeconomic status on stage specific prostate cancer survival and mortality before and after introduction of PSA test in Finland.

Socioeconomic status (SES) has an impact on prostate cancer (PCa) outcomes. Men with high SES have higher incidence and lower mortality of PCa versus lower SES males. PCa cases diagnosed in Finland in 1985-2014 (N = 95,076) were identified from the Finnish Cancer Registry. Information on education level (EL) was obtained from Statistics Finland. EL was assessed with three-tiered scale: basic, upper secondary and higher education. PCa stage at diagnosis was defined as localized, metastatic or unknown. Years of diagnosis 1985-1994 were defined as pre-PSA period and thereafter as post-PSA period. We report PCa-specific survival (PCSS) and relative risks (RR) for PCa specific mortality (PCSM) among cancer cases in Finland, where healthcare is 100% publicly reimbursed and inequality in healthcare services low. Men with higher EL had markedly better 10-year PCSS: 68 versus 63% in 1985-1994 and 90 versus 85% in 1995-2004 compared to basic EL in localized PCa. The RR for PCSM among men with localized PCa and higher EL compared to basic EL was 0.76(95%confidence interval (CI) 0.66-0.88) in 1985-1994 and 0.61(95%CI 0.53-0.70) in 1995-2004. Variation in PCSS and PCSM between EL categories was evident in metastatic PCa, too. The difference in PCSM between EL categories was larger in the first 10-year post-PSA period than before that but decreased thereafter in localized PCa, suggesting PSA testing became earlier popular among men with high EL. In summary, higher SES/EL benefit PCa survival both in local and disseminated disease and the effect of EL was more pronounced in early post-PSA period.

Population-Based Validation of the 2014 ISUP Gleason Grade Groups in Patients Treated With Radical Prostatectomy, Brachytherapy, External Beam Radiation, or no Local Treatment.

BACKGROUND: To test discriminant ability of the 2014 ISUP Gleason grade groups (GGG) for prediction of prostate cancer specific mortality (PCSM) after radical prostatectomy (RP), brachytherapy (BT), external beam radiation (EBRT) or no local treatment (NLT) relative to traditional Gleason grading (TGG). METHODS: In the Surveillance, Epidemiology, and End Results (SEER)-database (2004-2009), 2,42,531 non-metastatic prostate cancer (PCa) patients were identified, who underwent local treatment (RP, BT, EBRT only) or NLT. Follow-up endpoint was PCSM. Biopsy and/or pathological Gleason score (GS) were categorized as TGG ≤6, 7, 8-10 or GGG: I (≤6), II (3 + 4), III (4 + 3), IV (8), and V (9-10). Kaplan-Meier plots, multivariable Cox regression analyses and receiver operating characteristics (ROC) area under the curve analyses (AUC) were used. RESULTS: Median follow-up was 76 months (IQR: 59-94). For the four examined treatment modalities, all five GGG strata and all three TGG strata independently predicted PCSM. GGG yielded 1.5-fold or greater HR differences between GGG II and GGG III, and twofold or greater HR differences between GGG IV and GGG V. Relative to TGG, GGG added 0.4-1.1% to AUC. CONCLUSIONS: This large population-based cohort study confirms the added discriminant properties of the novel GGG strata and confirms a modest gain in predictive accuracy. Prostate 77: 686-693, 2017. © 2017 Wiley Periodicals, Inc.

Gene expression profiling of prostate tissue identifies chromatin regulation as a potential link between obesity and lethal prostate cancer.

BACKGROUND: Obese men are at higher risk of advanced prostate cancer and cancer-specific mortality; however, the biology underlying this association remains unclear. This study examined gene expression profiles of prostate tissue to identify biological processes differentially expressed by obesity status and lethal prostate cancer. METHODS: Gene expression profiling was performed on tumor (n = 402) and adjacent normal (n = 200) prostate tissue from participants in 2 prospective cohorts who had been diagnosed with prostate cancer from 1982 to 2005. Body mass index (BMI) was calculated from the questionnaire immediately preceding cancer diagnosis. Men were followed for metastases or prostate cancer-specific death (lethal disease) through 2011. Gene Ontology biological processes differentially expressed by BMI were identified using gene set enrichment analysis. Pathway scores were computed by averaging the signal intensities of member genes. Odds ratios (ORs) for lethal prostate cancer were estimated with logistic regression. RESULTS: Among 402 men, 48% were healthy weight, 31% were overweight, and 21% were very overweight/obese. Fifteen gene sets were enriched in tumor tissue, but not normal tissue, of very overweight/obese men versus healthy-weight men; 5 of these were related to chromatin modification and remodeling (false-discovery rate < 0.25). Patients with high tumor expression of chromatin-related genes had worse clinical characteristics (Gleason grade > 7, 41% vs 17%; P = 2 × 10-4 ) and an increased risk of lethal disease that was independent of grade and stage (OR, 5.26; 95% confidence interval, 2.37-12.25). CONCLUSIONS: This study improves our understanding of the biology of aggressive prostate cancer and identifies a potential mechanistic link between obesity and prostate cancer death that warrants further study. Cancer 2017;123:4130-4138. © 2017 American Cancer Society.

Subclassification of high-risk clinically organ-confined prostate cancer for early cancer-specific mortality after radical prostatectomy.

OBJECTIVE: High-risk clinically localized prostate cancer is seen in a highly heterogeneous population with a wide variation of clinical aggressiveness and a novel subclassification for the better prediction of clinical outcomes is needed. The aim of this study is to validate a modified D'Amico risk criteria for substratification of high-risk prostate cancer with regard to the prediction of biochemical recurrence, clinical progression-free survival or prostate cancer-specific mortality after radical prostatectomy. METHODS: We conducted a retrospective multicenter cohort study including 461 clinically organ-confined (cT1-2), D'Amico high-risk prostate cancer patients who underwent radical prostatectomy with pelvic lymph node dissection. The modified criteria subclassified D'Amico high-risk patients into high-risk (n = 189, single high-risk parameter and two low-risk parameters) and very high-risk (n = 272, at least one more intermediate or high-risk parameter in addition to the qualifying high-risk parameter) groups. Biochemical recurrence-free survival, clinical progression-free survival, prostate cancer-specific mortality and overall survival were analyzed. RESULTS: The very high-risk group, compared with high-risk group, had significantly poorer biochemical recurrence (5- and 10-year biochemical recurrence-free rates: 52.8 vs 73.9% and 42.1 vs 61.7%, respectively, P < 0.0001), clinical progression-free survival (5- and 10-year survivals: 91.8 vs 98.2% and 80.5 vs 98.2%, respectively, P = 0.0013) and prostate cancer-specific mortality (5- and 10-year mortalities: 2.5 vs 0.0% and 6.7 vs 0.0%, respectively, P = 0.0124). CONCLUSION: D'Amico high-risk patients can achieve very favorable outcomes unless they are classified as very high risk. Our novel subclassification method is very simple and useful for better patient counseling and decision-making in the pretreatment setting.

Prostate cancer-specific mortality after radical prostatectomy: value of preoperative MRI.

BACKGROUND: Although magnetic resonance imaging (MRI) is currently indispensable in the preoperative setting of biopsy-proven prostate cancer, the value of preoperative MRI for predicting prostate cancer-specific mortality (PCSM) is not well known. PURPOSE: To evaluate the value of MRI for predicting PCSM in patients who underwent radical prostatectomy (RP) for localized prostate cancer. MATERIAL AND METHODS: A total of 318 patients underwent MRI followed by RP. MRI was assessed for the presence of clinically significant cancer using a five-point Likert scale, where ≥4 was considered positive. Cox proportional hazards regression analyses was used to determine the relationship of preoperative factors with PCSM. PCSM was calculated using the Kaplan-Meier method and compared between factors using the log-rank test. RESULTS: After a median follow-up of 104 months, 11 (3.5%) patients died of prostate cancer. One hundred and four (32.7%) patients had clinically significant prostate cancer on MRI. Univariate analysis revealed that Gleason grade, greatest percentage of involved core length (GPCL), and clinically significant cancer on MRI were significantly related to PCSM (P = 0.001-0.003). Multivariate analysis showed that GPCL (hazard ratio [HR], 1.028; 95% confidence interval [CI], 1.000-1.057; P = 0.048) and clinically significant cancer on MRI (HR, 10.903; 95% CI, 1.287-92.374; P = 0.028) were independent predictors of PCSM. The 5 - and 10-year PCSM rates were 0.6% and 1.3% in patients with GPCL <50% and 5.1% and 8.6% in those with GPCL ≥50% (P = 0.012). Patients without clinically significant cancer on MRI showed 5 - and 10-year PCSM rates of 0% and 0.5%, respectively, whereas those with clinically significant cancer on MRI showed rates of 8% and 14.2%, respectively (P < 0.001). CONCLUSION: Preoperative MRI and GPCL may be used to predict PCSM after RP.

The likelihood of death from prostate cancer in men with favorable or unfavorable intermediate-risk disease.

BACKGROUND: Recently, men with intermediate-risk prostate cancer (PC) were classified into favorable and unfavorable categories; however, whether the risk of PC-specific mortality (PCSM) among men with high-risk PC versus unfavorable intermediate-risk PC is increased is unknown. METHODS: In a prospective, randomized trial conducted between 1995 and 2001, 206 men with intermediate-risk or high-risk PC were randomized to receive 70 Gy with or without 6 months of androgen-suppression therapy (AST). The subgroup of 197 patients with information available on the percentage of positive biopsies formed the cohort. Fine and Gray regression analysis was used to assess whether men with high-risk PC versus unfavorable intermediate-risk PC had an increased risk of PCSM. RESULTS: After a median follow-up of 14.3 years, there were 127 deaths (64.5%), including 22 deaths (17.3%) from PC. There were no PC deaths in the favorable intermediate-risk group. There was an increase in the risk of PCSM among men with high-risk PC versus unfavorable intermediate-risk PC, but the difference was not significant (adjusted hazard ratio, 1.59; 95% confidence interval, 0.66-3.83; P = .30) after adjusting for age, randomized treatment arm, and comorbidity. CONCLUSIONS: The lack of PC deaths among men with favorable intermediate-risk PC suggests that adding AST may not reduce their risk of PCSM; whereas many men with unfavorable intermediate-risk PC are at risk for harboring occult PC with Gleason scores from 8 to 10 and, if proven, would benefit from long-term AST. Multiparametric magnetic resonance imaging and targeted biopsy of suspicious lesions should be considered to identify PC with Gleason scores from 8 to 10 in these men.

PTEN loss in biopsy tissue predicts poor clinical outcomes in prostate cancer.

OBJECTIVES: To determine whether PTEN status in prostate biopsy represents a predictor of intermediate and long-term oncological outcomes after radical prostatectomy, and whether PTEN status predicts response to androgen deprivation therapy. METHODS: In a retrospective analysis of 77 men treated by radical prostatectomy who underwent diagnostic biopsy between 1992-2006, biopsy samples were stained for PTEN expression by the PREZEON assay with >10% staining reported as positive. Cox proportional hazards and log-rank models were used to assess the correlation between PTEN loss and clinical outcomes. RESULTS: During a median follow-up period after radical prostatectomy of 8.8 years, 39 men (51%) developed biochemical recurrence, four (5%) had castration-resistant prostate cancer, two (3%) had metastasis and two (3%) died from prostate cancer. PTEN loss was not significantly associated with biochemical recurrence (hazard ratio 2.1, 95% confidence interval 0.9-5.1, P = 0.10), but significantly predicted increased risk of castration-resistant prostate cancer, metastasis and prostate cancer-specific mortality (all log-rank, P < 0.0001), and time from androgen deprivation therapy to castration-resistant prostate cancer (log-rank, P = 0.003). No patient without PTEN loss developed metastases or died from prostate cancer. CONCLUSIONS: PTEN loss at the time of biopsy seems to predict time to development of metastasis, prostate cancer-specific mortality and, for the first time, castration-resistant prostate cancer and response to androgen deprivation therapy after radical prostatectomy. If confirmed by larger studies, this would support the use of PTEN loss as an early marker of aggressive prostate cancer.

Young Age on Starting Prostate-specific Antigen Testing Is Associated with a Greater Reduction in Prostate Cancer Mortality: 24-Year Follow-up of the Göteborg Randomized Population-based Prostate Cancer Screening Trial.

BACKGROUND: The risk of death from prostate cancer (PC) depends on age, but the age at which to start prostate-specific antigen (PSA) screening remains uncertain. OBJECTIVE: To study the relationship between risk reduction for PC mortality and age at first PSA screening. DESIGN, SETTING, AND PARTICIPANTS: The randomized Göteborg-1 trial invited men for biennial PSA screening between the ages of 50 and 70 yr (screening, n = 10 000) or no invitation but exposure to opportunistic PSA testing (control, n = 10 000). INTERVENTION: Regular versus opportunistic PSA screening or no PSA. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We modeled the nonlinear association between starting age and the absolute risk reduction in PC mortality in three settings: (1) intention-to-screen (randomized arms); (2) historical control (screening group and 1990-1994 registry data); and (3) attendees only (screening attendees and matched controls). We tested whether the effect of screening on PC mortality depends on the age at starting screening by comparing survival models with and without an interaction between trial arm and age (intention-to-screen and attendees only). RESULTS AND LIMITATIONS: Younger age on starting PSA testing was associated with a greater reduction in PC mortality. Starting screening at age 55 yr approximately halved the risk of PC death compared to first PSA at age 60 yr. The test of association between starting age and the effect of screening on PC mortality was slightly greater than the conventional level of statistical significance (p = 0.052) for the entire cohort, and statistically significant among attendees (p = 0.002). This study is limited by the low number of disease-specific deaths for men starting screening before age 55 yr and the difficulty in discriminating between the effect of starting age and screening duration. CONCLUSIONS: Given that prior screening trials included men aged up to 70 yr on starting screening, our results suggest that the effect size reported in prior trials underestimates that of currently recommended programs starting at age 50-55 yr. PATIENT SUMMARY: In this study from the Göteborg-1 trial, we looked at the effect of prostate-specific antigen (PSA) screening in reducing men's risk of dying from prostate cancer given the age at which they begin testing. Starting at a younger age reduced the risk of prostate cancer death by a greater amount. We recommend that PSA screening should start no later than at age 55 yr.

A modeling study to estimate prostate cancer-specific mortality on active surveillance for men with favorable intermediate-risk prostate cancer: Results from the SEARCH cohort.

PURPOSE: Limited data exist to help surgeons decide between active surveillance (AS) versus treatment for men with favorable intermediate risk (FIR) prostate cancer. To estimate the theoretical excess risk of prostate cancer-specific mortality (PCSM) with AS versus radical prostatectomy (RP), we determined the risk of PCSM in FIR men undergoing RP and modeled the PCSM risk for AS using a range of increased PSCM scenarios ranging from 1.25x to 2x higher relative to RP. MATERIALS AND METHODS: We retrospectively reviewed data from men undergoing RP from 1988 to 2017 at 8 Veterans Affairs hospitals within the SEARCH cohort. Men with FIR PC were identified using the NCCN risk criteria. Risk of PCSM at 5, 10, and 15 years after RP was estimated. Using these estimates, PCSM was then modeled for AS using a range of increased risk of PCSM relative to RP ranging from 1.25x to 2x higher. RESULTS: For the 920 FIR men identified, 5-, 10-, and 15-year survival estimates for PCSM after RP were 99.9%, 99.0%, and 97.8%, respectively. If the risk of PCSM on AS were 1.25-2x greater than RP, there would be 0.54%-2.17% excess risk of PCSM at 15 years. CONCLUSIONS: The risk of death for FIR after RP is very low. Assuming even modestly increased PCSM with AS versus RP, the excess risk of death for AS in FIR is low even up to 15 years. These data support the consideration of AS as a relatively safe alternative to RP in FIR men, though prospective randomized trials are needed to validate these findings.

Clinical characteristics and prostate-cancer-specific mortality of competitive risk nomogram in the second primary prostate cancer.

Background: With the development of early diagnosis and treatment, the second primary malignancy (SPM) attracts increasing attention. The second primary prostate cancer (spPCa) is an important class of SPM, but remains poorly understood. Methods: We retrospectively analyzed 3,322 patients with spPCa diagnosed between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. Chi-square test was applied to compare demographic and clinical variables and analyze causes of death. Multivariate competitive risk regression model was used to identify risk factors associated with prostate-cancer-specific mortality (PCSM), and these factors were enrolled to build a nomogram of competitive risk. The C-index, calibration curve, and decision curve analysis (DCA) were employed to evaluate the discrimination ability of our nomogram. Results: The median follow-up (interquartile range, IQR) time was 47 (24-75) months, and the median (IQR) diagnosis interval between the first primary cancer (FPC) and spPCa was 32 (16-57) months. We found that the three most common sites of SPM were the urinary system, digestive system, and skin. Through multivariate competitive risk analysis, we enrolled race (p < 0.05), tumor-node-metastasis (TNM) stage (p < 0.001), Gleason score (p < 0.05), surgery (p = 0.002), and radiotherapy (p = 0.032) to construct the model to predict the outcomes of spPCa. The C-index was 0.856 (95% CI, 0.813-0.899) and 0.905 (95% CI, 0.941-0.868) in the training and validation set, respectively. Moreover, both the calibration curve and DCA illustrated that our nomogram performed well in predicting PCSM. Conclusion: In conclusion, we identified four risk factors associated with the prognosis of spPCa and construct a competing risk nomogram, which performed well in predicting the 3-, 5-, and 10-year PCSM.