Cumulative cancer locations on prostate biopsy and active surveillance outcomes in the MRI era.

BACKGROUND: To validate the use of a cumulative cancer locations (CCLO) score, a measurement of tumor volume on biopsy, and to develop a novel magnetic resonance imaging (MRI)-informed CCLO (mCCLO) score to predict clinical outcomes on active surveillance (AS). METHODS: The CCLO score is a sum of uniquely involved sextants with prostate cancer on diagnostic + confirmatory biopsy. The mCCLO score incorporates MRI findings into the CCLO score. Participants included 1284 individuals enrolled on AS between 1994 and 2022, 343 of whom underwent prostate MRI. The primary outcome was grade reclassification (GR) to grade group ≥2 disease; the secondary outcome was receipt of definitive treatment. RESULTS: Increasing CCLO and mCCLO risk groups were associated with higher risk of GR and undergoing definitive treatment (both p < 0.001). On multivariable analysis, increasing mCCLO score was associated with higher risk of GR and receipt of definitive treatment (hazard ratios [HRs] per 1-unit increase: 1.26 [95% confidence interval [CI]: 1.12-1.41] and 1.21 [95% CI: 1.07-1.36], respectively). The model using mCCLO score to predict GR (c-index: 0.671; 95% CI: 0.621-0.721) performed at least as well as models using the number of cores positive for cancer (0.664 [0.613-0.715]; p = 0.7) and the maximum percentage of cancer in a core (0.641 [0.585-0.696]; p = 0.14). CONCLUSIONS: The CCLO score is a valid, objective metric to predict GR and receipt of treatment in a large AS cohort. The ability of the MRI-informed mCCLO to predict GR is on par with traditional metrics of tumor volume but is more descriptive and may benefit from greater reproducibility. The mCCLO score can be implemented as a shorthand, informative tool for counseling patients about whether to remain on AS.

Long-Term Outcomes in Patients Using Protocol-Directed Active Surveillance for Prostate Cancer.

Importance: Outcomes from protocol-directed active surveillance for favorable-risk prostate cancers are needed to support decision-making. Objective: To characterize the long-term oncological outcomes of patients receiving active surveillance in a multicenter, protocol-directed cohort. Design, Setting, and Participants: The Canary Prostate Active Surveillance Study (PASS) is a prospective cohort study initiated in 2008. A cohort of 2155 men with favorable-risk prostate cancer and no prior treatment were enrolled at 10 North American centers through August 2022. Exposure: Active surveillance for prostate cancer. Main Outcomes and Measures: Cumulative incidence of biopsy grade reclassification, treatment, metastasis, prostate cancer mortality, overall mortality, and recurrence after treatment in patients treated after the first or subsequent surveillance biopsies. Results: Among 2155 patients with localized prostate cancer, the median follow-up was 7.2 years, median age was 63 years, 83% were White, 7% were Black, 90% were diagnosed with grade group 1 cancer, and median prostate-specific antigen (PSA) was 5.2 ng/mL. Ten years after diagnosis, the incidence of biopsy grade reclassification and treatment were 43% (95% CI, 40%-45%) and 49% (95% CI, 47%-52%), respectively. There were 425 and 396 patients treated after confirmatory or subsequent surveillance biopsies (median of 1.5 and 4.6 years after diagnosis, respectively) and the 5-year rates of recurrence were 11% (95% CI, 7%-15%) and 8% (95% CI, 5%-11%), respectively. Progression to metastatic cancer occurred in 21 participants and there were 3 prostate cancer-related deaths. The estimated rates of metastasis or prostate cancer-specific mortality at 10 years after diagnosis were 1.4% (95% CI, 0.7%-2%) and 0.1% (95% CI, 0%-0.4%), respectively; overall mortality in the same time period was 5.1% (95% CI, 3.8%-6.4%). Conclusions and Relevance: In this study, 10 years after diagnosis, 49% of men remained free of progression or treatment, less than 2% developed metastatic disease, and less than 1% died of their disease. Later progression and treatment during surveillance were not associated with worse outcomes. These results demonstrate active surveillance as an effective management strategy for patients diagnosed with favorable-risk prostate cancer.

Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images.

Microscopic examination of prostate cancer has failed to reveal a reproducible association between molecular and morphologic features. However, deep-learning algorithms trained on hematoxylin and eosin (H&E)-stained whole slide images (WSI) may outperform the human eye and help to screen for clinically-relevant genomic alterations. We created deep-learning algorithms to identify prostate tumors with underlying ETS-related gene (ERG) fusions or PTEN deletions using the following 4 stages: (1) automated tumor identification, (2) feature representation learning, (3) classification, and (4) explainability map generation. A novel transformer-based hierarchical architecture was trained on a single representative WSI of the dominant tumor nodule from a radical prostatectomy (RP) cohort with known ERG/PTEN status (n = 224 and n = 205, respectively). Two distinct vision transformer-based networks were used for feature extraction, and a distinct transformer-based model was used for classification. The ERG algorithm performance was validated across 3 RP cohorts, including 64 WSI from the pretraining cohort (AUC, 0.91) and 248 and 375 WSI from 2 independent RP cohorts (AUC, 0.86 and 0.89, respectively). In addition, we tested the ERG algorithm performance in 2 needle biopsy cohorts comprised of 179 and 148 WSI (AUC, 0.78 and 0.80, respectively). Focusing on cases with homogeneous (clonal) PTEN status, PTEN algorithm performance was assessed using 50 WSI reserved from the pretraining cohort (AUC, 0.81), 201 and 337 WSI from 2 independent RP cohorts (AUC, 0.72 and 0.80, respectively), and 151 WSI from a needle biopsy cohort (AUC, 0.75). For explainability, the PTEN algorithm was also applied to 19 WSI with heterogeneous (subclonal) PTEN loss, where the percentage tumor area with predicted PTEN loss correlated with that based on immunohistochemistry (r = 0.58, P = .0097). These deep-learning algorithms to predict ERG/PTEN status prove that H&E images can be used to screen for underlying genomic alterations in prostate cancer.

Clinical Significance of Perineural Invasion in Men With Grade Group 1 Prostate Cancer on Active Surveillance.

PURPOSE: We aimed to evaluate the clinical significance of perineural invasion in men on active surveillance for Grade Group 1 prostate cancer. MATERIALS AND METHODS: We identified 1,969 men with Grade Group 1 prostate cancer and at least 1 follow-up biopsy. A time-dependent Cox model and a logistic regression model were used to assess the association between biopsy-detected perineural invasion and grade reclassification (defined as the detection of Grade Group ≥2 prostate cancer on a surveillance biopsy), and adverse pathology (defined as Grade Group ≥3 ± seminal vesicle invasion ± lymph node involvement) at radical prostatectomy, respectively. RESULTS: The 198 men with perineural invasion detected during active surveillance had lower rates of grade reclassification-free survival than those without perineural invasion (P < .001). On multivariable analysis perineural invasion was significantly associated with grade reclassification (HR 3.25, 95% CI 2.54-4.16, P < .001); an association that persisted in the multiparametric magnetic resonance imaging subset. At radical prostatectomy, men with biopsy-detected perineural invasion had more extraprostatic extension than men without perineural invasion (Relative Risk 1.71, 95% CI 1.15-2.56). However, on multivariable analysis biopsy-detected perineural invasion was not associated with adverse pathology (OR 0.68, 95% CI 0.27-1.68, P = .40) and these patients did not exhibit more biochemical recurrence at 5 years (P > .05). CONCLUSIONS: Perineural invasion during active surveillance was associated with grade reclassification. At radical prostatectomy biopsy-detected perineural invasion patients exhibited more extraprostatic extension but biopsy-detected perineural invasion was not independently associated with more adverse pathology. In addition, these patients did not have more biochemical recurrence during follow-up. Perineural invasion should not preclude Grade Group 1 patients from active surveillance but they may warrant more stringent monitoring.

Gleason Grade 1 Prostate Cancer Volume at Biopsy Is Associated With Upgrading but Not Adverse Pathology or Recurrence After Radical Prostatectomy: Results From a Large Institutional Cohort.

PURPOSE: Clinical guidelines suggest that for low-grade, clinically localized prostate cancer, patients with higher volume of disease at diagnosis may benefit from definitive therapy, although the data remain unclear. Our objective was to determine associations between low-grade prostate cancer volume and outcomes in men managed with primary radical prostatectomy. MATERIALS AND METHODS: Men with cT1-2N0/xM0/x prostate cancer, prostate specific antigen at diagnosis <10 ng/mL, and Gleason grade group 1 pathology on diagnostic biopsy managed with primary radical prostatectomy were included. Outcomes were pathological upgrade at radical prostatectomy (≥Gleason grade group 2), University of California, San Francisco adverse pathology at radical prostatectomy (≥Gleason grade group 3, pT3/4, or pN1), alternate adverse pathology at radical prostatectomy (≥Gleason grade group 3, ≥pT3b, or pN1), and recurrence (biochemical failure with 2 prostate specific antigen ≥0.2 ng/mL or salvage treatment). Multivariable logistic regression models were used to estimate associations between percentage of positive cores and risk of upgrade and adverse pathology at radical prostatectomy. Multivariable Cox proportional hazards regression models were used to estimate associations between percentage of positive cores and hazard of recurrence after radical prostatectomy. RESULTS: A total of 1,029 men met inclusion criteria. Multivariable logistic regression models demonstrated significant associations between percentage of positive cores and pathological upgrade (OR 1.31, 95% CI 1.1-1.57, P < .01), but not University of California, San Francisco adverse pathology at radical prostatectomy (P = .84); percentage of positive cores was negatively associated with alternate adverse pathology (OR 0.67, 95% CI 0.48-0.93, P = .02). Multivariable Cox regression models demonstrated no association between percentage of positive cores and hazard of recurrence after radical prostatectomy (P = .11). CONCLUSIONS: In men with Gleason grade group 1 prostate cancer, tumor volume may be associated with upgrading at radical prostatectomy, but not more clinically significant outcomes of adverse pathology or recurrence.

Identifying Men Who Can Remain on Active Surveillance Despite Biopsy Reclassification to Grade Group 2 Prostate Cancer.

PURPOSE: Men on active surveillance with Grade Group 1 prostate cancer who reclassify to Grade Group 2 on surveillance biopsy often leave active surveillance. We aimed to identify subgroups of men who can safely remain on active surveillance despite preoperative reclassification to Grade Group 2. MATERIALS AND METHODS: We studied 249 active surveillance patients with surveillance biopsies classified as Grade Group 1 or Grade Group 2 who underwent radical prostatectomy. Perineural invasion, cancer volume, linear length and maximum percentage of Gleason pattern 4, and prostate-specific antigen density were evaluated. Radical prostatectomy adverse pathology was defined by any of: pN1; ≥pT3; ≥Grade Group 2 with ≥20% Gleason pattern 4; intraductal carcinoma; large cribriform glands. RESULTS: A multivariable logistic regression model incorporating prostate-specific antigen density and perineural invasion stratified radical prostatectomy adverse pathology risk among Grade Group 1 and Grade Group 2 active surveillance patients. 57% (39/68) of Grade Group 1 men reclassified to Grade Group 2 while on active surveillance had favorable radical prostatectomy pathology. Those without biopsy perineural invasion and with low prostate-specific antigen density were more likely to have favorable radical prostatectomy pathology. CONCLUSIONS: Most Grade Group 1 men who enter active surveillance and subsequently reclassify to Grade Group 2 have favorable findings at radical prostatectomy and can remain on active surveillance. Among patients reclassified to Grade Group 2, those with low prostate-specific antigen density and without perineural invasion had the lowest risk of radical prostatectomy adverse pathology, comparable to (or below) that of Grade Group 1 patients who were not reclassified to Grade Group 2 preoperatively. Prostate-specific antigen density and perineural invasion stratify risk in active surveillance patients reclassified to Grade Group 2 and, if concordant with other clinicopathological and radiographic findings, can enable more patients to remain on active surveillance. Reclassification to Grade Group 2 alone should not disqualify men from remaining on active surveillance.

The role of genetic testing in prostate cancer screening, diagnosis, and treatment.

PURPOSE OF REVIEW: This review provides an overview of the current role of genetic testing in prostate cancer screening, diagnosis, and treatment. RECENT FINDINGS: Recent studies have uncovered few but highly penetrant rare pathogenic mutations (RPMs), in genes, such as BRCA2, with strong prostate cancer risk and outcomes associations. Over 260 single nucleotide polymorphisms (SNPs) have also been identified, each associated with small incremental prostate cancer risk and when combined in a polygenic risk score (PRS), they provide strong prostate cancer risk prediction but do not seem to predict outcomes. Tumor tissue sequencing can also help identify actionable somatic mutations in many patients with advanced prostate cancer and inform on their risk of harboring a germline pathogenic mutation. SUMMARY: RPM testing, PRS testing, and tumor sequencing all have current and/or potential future roles in personalized prostate cancer care.

The Clinical Significance of Multiple Negative Surveillance Prostate Biopsies for Men on Active Surveillance-Does Cancer Vanish or Simply Hide?

PURPOSE: Men with low risk prostate cancer on active surveillance undergo multiple biopsies over time. The long-term clinical significance of consecutively negative biopsies is not known. MATERIALS AND METHODS: Men with low risk prostate cancer prospectively enrolled in an active surveillance database with at least 4 biopsies were included in the study. Exposure variables were 0, 1 or 2 consecutively negative biopsies after diagnosis. Other variables included age, prostate specific antigen, prostate specific antigen density, Gleason grade group, percent positive cores and magnetic resonance imaging findings. Outcome variables were the detection of any cancer at fourth biopsy and active treatment. RESULTS: A total of 514 men were included, with 112 (22%) men having 1 negative biopsy and 78 (15%) with 2 consecutively negative biopsies. Median prostate specific antigen density was lower for men with 1 negative biopsy (0.11) and consecutively negative biopsies (0.10) compared to men who never had a negative biopsy (0.13, p <0.01). On univariable logistic regression higher prostate specific antigen density (OR 1.68, 95% CI 1.16-2.45) and suspicious magnetic resonance imaging lesions (OR 2.00, 95% CI 1.16-3.42) were associated with a higher likelihood of detecting cancer on fourth biopsy. On multivariable logistic regression 1 negative biopsy (OR 0.22, 95% CI 0.12-0.41) and consecutively negative biopsies (OR 0.12, 95% CI 0.06-0.24) were associated with a lower likelihood of detecting cancer at outcome biopsy. Unadjusted 10-year treatment-free survival was highest for patients with consecutively negative biopsies (84%) and 1 negative biopsy (74%) than those who had none (66%) (log rank p=0.02). CONCLUSIONS: Consecutively negative surveillance biopsies are correlated with favorable clinical risk factors and independently associated with subsequent negative biopsy and lower risk of active treatment.

Clinical Utility of 4Kscore®, ExosomeDx™ and Magnetic Resonance Imaging for the Early Detection of High Grade Prostate Cancer.

PURPOSE: We aimed to evaluate 4Kscore® and ExosomeDx™ with multiparametric magnetic resonance imaging in the detection of high grade prostate cancer and number of biopsies avoided. MATERIAL AND METHODS: Patients had 1 liquid biomarker test with or without multiparametric magnetic resonance imaging. High grade prostate cancer was defined as Gleason grade group 2 or greater. The overall number of avoided biopsies (with Gleason grade 1 or less), and number of missed Gleason grade 2 or greater cancer among the biopsied patients, were determined. RESULTS: Of the 783 patients in the overall cohort 419 (53.5%) underwent biopsy. 4Kscore and ExosomeDx scores higher than the manufacturers' cut point were associated with PI-RADS™ scores 3 to 5 and Gleason grade 2 or greater prostate cancer. Limiting biopsy to the men with liquid biomarker scores above the manufacturers' cut point would have resulted avoiding 29.5% to 39.9% unnecessary biopsies overall, while missing 4.0% to 4.8% Gleason grade 2 or greater prostate cancer in the biopsy group. Screening algorithms with up-front liquid biomarker testing followed by multiparametric magnetic resonance imaging if the biomarker is above the manufacturers' cut point, then followed by biopsy if the multiparametric magnetic resonance imaging is positive or if 4Kscore 20 or greater or ExosomeDx 19 or greater would have missed 4.8% to 5.6% of Gleason grade 2 or greater prostate cancer in the biopsy group while avoiding 39.4% to 43.0% biopsies and 29.5% to 39.9% multiparametric magnetic resonance imaging overall. Similar algorithms with up-front multiparametric magnetic resonance imaging followed by liquid biomarker testing for negative multiparametric magnetic resonance imaging would have missed 2.4% of Gleason grade 2 or greater prostate cancer in the biopsy group but only avoided 17.2% 19.3% biopsies overall. CONCLUSIONS: Screening algorithms with up-front liquid biomarker testing followed by multiparametric magnetic resonance imaging and biopsy at certain biomarker thresholds could reduce unnecessary biopsies, multiparametric magnetic resonance imaging and overdetection of Gleason grade 1 prostate cancer.

Bladder cancer in patients younger than 40 years: outcomes from the National Cancer Database.

PURPOSE: To evaluate the clinical, pathological, and survival outcomes of bladder cancer in patients aged 18-40 years. METHODS: We identified 362,091 bladder cancer patients from the National Cancer Database between 2004-2013 and compared patients aged 18-40 years to those > 40 years of age with univariate analysis using Chi-square tests. A subset analysis was performed on patients who underwent cystectomy. Multivariable Cox regression was used for overall survival analysis. RESULTS: Our final analysis included 314,177 patients with 3314 (1.1%) patients aged 18-40 years. Patients aged 18-40 years had a lower male-to-female ratio (2.4 versus 3.0), a greater proportion of low-grade tumors (72.7% versus 48.3%, p < 0.001), non-muscle invasive tumors (90.3% versus 81.2%, p < 0.001), and variant histology (4.0% versus 3.3%, p < 0.001). Similar trends were observed at cystectomy including lower male-to-female ratio in the 18-40 years group (1.7 versus 3.1), a greater proportion of variant histology (25.0% versus 10.0%, p < 0.001); and 53.3% of those younger patients with variant histology were women. Patients aged 18-40 years who underwent cystectomy had a higher proportion of locally advanced disease (pT4 19.2% versus 14.6%, p = 0.004). Multivariable analyses in both cohorts demonstrated that variant histology was a predictor of worse overall survival. CONCLUSION: The majority of patients aged 18-40 years with bladder cancer present with low-grade, non-muscle-invasive disease associated with better survival. However, a subset of younger patients with a higher proportion of women presents with aggressive bladder cancer which may be partly explained by a higher prevalence of variant histology.

Multicenter Evaluation of the Prostate Health Index to Detect Aggressive Prostate Cancer in Biopsy Naïve Men.

PURPOSE: We evaluated the ability of PHI to discriminate aggressive prostate cancer from indolent or no cancer in a biopsy naïve population. MATERIALS AND METHODS: Two independent prospective cohorts of 561 and 395 subjects, respectively, with no prior prostate biopsy who were enrolled at different clinical sites were used to validate the results. We compared the diagnostic specificity of PHI to prebiopsy total and percent free prostate specific antigen using prostate biopsy results. We also determined the optimal PHI threshold to discriminate aggressive prostate cancer (Gleason score 7 or greater) from indolent or no prostate cancer (Gleason score 6 or less). RESULTS: In the primary cohort higher PHI values were significantly associated with Gleason score 7 or greater. The AUC to detect aggressive prostate cancer was 0.815. At 95% sensitivity PHI specificity was 36.0% vs 17.2% and 19.4% for total and percent free prostate specific antigen, respectively. At 95% sensitivity for detecting aggressive prostate cancer the optimal PHI cutoff was 24, which would help avoid 41% of unnecessary biopsies. A cutoff of 24 led to 36% biopsies avoided with few aggressive cancers missed. These results were confirmed in the validation cohort. CONCLUSIONS: The PHI detected aggressive prostate cancer with better specificity than total and percent free prostate specific antigen in a biopsy naïve population. It could be a useful tool to decrease unnecessary prostate biopsies.

High Expression of Major Histocompatibility Complex Class I in Clear Cell Renal Cell Carcinoma Is Associated with Improved Prognosis.

INTRODUCTION: In this study we analyzed major histocompatibility complex class I (MHCI) expression as a potential prognostic immune marker for patients with clear cell renal cell carcinoma (ccRCC). PATIENTS AND METHODS: 34 patients with localized ccRCC (pT1-pT3) who had undergone nephrectomy and had at least 4 years of clinical follow-up data were included in the study. Immunohistochemical staining for MHCI was performed on tumor sections. An automated image analysis algorithm was applied to representative tumor areas to quantitate the proportion of stained pixels (positivity score = positive pixels/total pixels) on scanned digital slides. RESULTS: At the end of the study, the patients who were alive had increased MHCI expression (mean positivity score 0.80) compared to those who died of the disease (mean positivity score 0.53; p < 0.0001, t test). Patients who were alive with recurrence had increased MHCI expression (positivity score 0.81) compared to those who succumbed to their disease recurrence (positivity score 0.53; p < 0.0001, t test). Survival was higher among patients with high MHCI expression compared to patients with low MHCI expression (p < 0.0001, Mantel-Cox). CONCLUSIONS: With an automated high-throughput image analysis technique, this study shows that higher tumor cell MHCI expression promotes increased survival and reduced incidence of recurrence compared to patients with lower tumor cell MHCI expression.

Diet Quality, Dietary Inflammatory Potential, and Risk of Prostate Cancer Grade Reclassification.

Importance: It remains unclear whether diet may influence the risk of prostate cancer grade reclassification in men undergoing active surveillance. Objective: To assess the association of diet quality and dietary inflammatory potential with prostate cancer grade reclassification during active surveillance. Design, Setting, and Participants: This prospective cohort study included men diagnosed with grade group (GG) 1 prostate cancer from January 2005 to February 2017 who were undergoing active surveillance and at active surveillance enrollment prospectively completed a validated food frequency questionnaire regarding their usual dietary patterns. Data were analyzed from October 29, 2023, to June 17, 2024. Exposures: The Healthy Eating Index 1999-2000 (HEI) and energy-adjusted HEI (E-HEI) scores as a measure of adherence to the Dietary Guidelines for Americans and the Dietary Inflammatory Index (DII) and energy-adjusted DII (E-DII) scores as metrics of dietary inflammatory potential were calculated using self-reported diet data. Main Outcomes and Measures: A competing risk regression was performed to test the baseline HEI, E-HEI, DII, and E-DII scores for an association with grade reclassification to GG2 or greater or GG3 or greater (ie, extreme grade reclassification) during active surveillance, adjusting for established active surveillance prognostic factors and smoking history at baseline. Results: The study included 886 men (median age at diagnosis, 66 years [IQR, 61-69 years]). After median follow-up of 6.5 years (IQR, 4.0-9.1 years), 187 (21%) had grade reclassification to GG2 or greater, including 55 (6%) with extreme grade reclassification. The cumulative incidence of grade reclassification was 7% (95% CI, 5%-9%) at 3 years, 15% (95% CI, 12%-17%) at 5 years, and 33% (95% CI, 29%-37%) at 10 years; that of extreme grade reclassification was 2% (95% CI, 1%-4%) at 3 years, 4% (95% CI, 3%-5%) at 5 years, and 10% (95% CI, 7%-13%) at 10 years. Higher baseline HEI (subdistribution hazard ratio [SHR], 0.85; 95% CI, 0.73-0.98; P = .03) and E-HEI (SHR, 0.86; 95% CI, 0.74-1.00; P = .047) per 1-SD increase in score were associated with a significantly lower risk of grade reclassification. Higher baseline HEI (SHR, 0.72; 95% CI, 0.57-0.93; P = .01) and E-HEI (SHR, 0.73; 95% CI, 0.57-0.94; P = .01) per 1-SD increase in score were associated with a significantly lower risk of extreme grade reclassification. Neither the baseline DII nor E-DII was associated with either grade reclassification outcome (eg, for grade reclassification to ≥GG2, the SHR was 1.08 [95% CI, 0.93-1.26] per 1-SD increase in DII score and 1.02 [95% CI, 0.86-1.21] per 1-SD increase in E-DII score). Conclusions and Relevance: The findings suggest that in men diagnosed with GG1 prostate cancer undergoing active surveillance, higher adherence to American dietary guideline recommendations may be associated with a lower risk of grade reclassification, particularly to GG3 or greater disease, which mandates curative treatment.

Predicting prostate cancer grade reclassification on active surveillance using a deep learning-based grading algorithm.

Deep learning (DL)-based algorithms to determine prostate cancer (PCa) Grade Group (GG) on biopsy slides have not been validated by comparison to clinical outcomes. We used a DL-based algorithm, AIRAProstate, to regrade initial prostate biopsies in 2 independent PCa active surveillance (AS) cohorts. In a cohort initially diagnosed with GG1 PCa using only systematic biopsies (n = 138), upgrading of the initial biopsy to ≥GG2 by AIRAProstate was associated with rapid or extreme grade reclassification on AS (odds ratio = 3.3, P = .04), whereas upgrading of the initial biopsy by contemporary uropathologist reviews was not associated with this outcome. In a contemporary validation cohort that underwent prostate magnetic resonance imaging before initial biopsy (n = 169), upgrading of the initial biopsy (all contemporary GG1 by uropathologist grading) by AIRAProstate was associated with grade reclassification on AS (hazard ratio = 1.7, P = .03). These results demonstrate the utility of a DL-based grading algorithm in PCa risk stratification for AS.

Small Cell Bladder Cancer: Treatment Patterns for Local Disease and Associated Outcomes. A Retrospective Cohort Study.

BACKGROUND: Small cell bladder cancer (SCBC) is a rare histologic subtype with relative paucity of data regarding treatment response and outcomes. We reviewed 2 databases to compare outcomes in patients with localized SCBC treated with cystectomy versus concurrent chemoradiotherapy (CCRT). We hypothesized that survival would be similar with these therapy approaches. METHODS: We retrospectively reviewed our institutional and SEER-Medicare databases to identify patients with SCBC. Overall survival (OS) was determined from the date of diagnosis to last follow-up/death. For those with nonmetastatic disease, a multivariate Cox analysis was used to compare locoregional therapy with neoadjuvant chemotherapy (NAC) + cystectomy versus CCRT. RESULTS: We identified 53 patients in our institutional database and 1166 patients in SEER-Medicare with localized SCBC. Median OS (mOS) with NAC + cystectomy was 46 months (95% CI, 21-72) and 45 months (95% CI, 0-104) in the institutional and SEER-Medicare databases, respectively, whereas mOS with CCRT was 26 months (95% CI, 5-47) and 23 months (95% CI, 18-28) in the 2 series, respectively. In multivariate analysis, NAC followed by cystectomy was associated with an approximately 30% reduction in mortality compared to CCRT in both institutional and national databases but did not reach statistical significance (Institution HR 0.71, 95% CI, 0.22-2.4, P = .58; SEER HR 0.73, 95% CI, 0.49-1.08; P = .11). CONCLUSIONS: SCBC is very aggressive with limited survival observed in our institutional and SEER-Medicare datasets regardless of locoregional therapy used. There is an unmet need to define the optimal locoregional therapy for nonmetastatic stage and identify novel therapeutic targets.

Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) Magnetic Resonance Imaging Scoring to Predict Clinical Outcomes in Active Surveillance for Grade Group 1 Prostate Cancer.

OBJECTIVE: To determine whether radiological change on serial multiparametric magnetic resonance imaging scored using the Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) Scoring system predicts grade reclassification (GR) at surveillance biopsy in men on active surveillance (AS) with Grade Group 1 (GG1) prostate cancer (PCa). METHODS: We retrospectively reviewed records of 255 men with low-risk PCa on AS with magnetic resonance imaging (MRI)-informed diagnostic and confirmatory biopsies and studied the subset who had surveillance biopsies (n = 163) within 6months of an interval MRI. RESULTS: We studied 309 PRECISE scores in 255 men. 14% demonstrated radiological progression (PRECISE 4-5) on interval MRI performed within 24months, compared to 34% of those whose interval MRI was performed at a >3-year interval (P = .002). 28% (46/163) of men undergoing surveillance biopsy experienced GR to ≥ GG2 PCa. There was no significant increase in the rate of GR with increasing PRECISE score (PRECISE 1-2: 24%, PRECISE 3: 23%, PRECISE 4-5: 38%; P = .11). There was a significant increase in the rate of GR with increasing PI-RADS score (P < .05). On multivariable analysis, a PI-RADS score of 4-5 was significantly associated with GR compared to men who had a highest PI-RADS ≤3 (OR=1.98 [95% CI: 1.45-3.09, P = .01]). CONCLUSION: In a low-risk AS cohort with limited follow-up, a patient's highest PI-RADS rather than their PRECISE score on interval MRI was predictive of GR on surveillance biopsy.

Baseline prostate health index risk category and risk category changes during active surveillance predict grade reclassification.

BACKGROUND: It is not known whether baseline prostate health index (PHI) at the initiation of active surveillance (AS) or repeated PHI testing during AS is of clinical value after confirmatory biopsy in AS men followed with multiparametric magnetic resonance imaging (mpMRI). METHODS: We identified 382 AS patients with no greater than Grade Group 1 (GG1) prostate cancer on diagnostic and confirmatory biopsy, at least one mpMRI and PHI test, of which 241 had at least 2 PHI tests. Grade reclassification (GR) was defined as ≥GG2 on surveillance biopsy. PHI risk categories 1 to 4 were as defined by the manufacturer. Associations between baseline PHI risk category or baseline PSA density (PSAD), change in PHI risk categories over time or PSAD changes over time and GR were evaluated with multivariable Cox proportional hazard regression models adjusted for age, Prostate Imaging-Reporting and Data System score and number of positive cores. RESULTS: Men with baseline PHI scores in the highest risk categories had lower rates of GR-free survival (log-rank P < 0.001), as did those who increased in PHI risk category or remained in a high PHI risk category during surveillance (log-rank P = 0.032). On multivariable regression, baseline PHI risk category was a predictor of GR (risk category 4 [vs. 1] hazard ratio [HR] 2.74, 95% confidence interval [CI] 1.32-5.66, P = 0.002, model C-index 0.764, Akaike Information Criterion [AIC] 797), as were PHI risk category changes over time (risk category 4 [vs. 1] HR 4.20, 95% CI 1.76-10.05, P = 0.002, C-index 0.759, AIC 489). Separate models with baseline PSAD and PSAD changes over time yielded C-indices of 0.709 (AIC 809) and 0.733 (AIC 495) respectively. CONCLUSIONS: Baseline PHI risk category and PHI changes over time were both independent predictors of GR after confirmatory biopsy, but the added benefit over PSAD seemed modest. However, baseline PHI and PHI risk category changes provided clinically useful risk stratification for time to GR, so further evaluation of PHI's ability to help reduce the frequency of mpMRI and/or surveillance biopsies with more PHI data points over time may be warranted.

Primary mesonephric adenocarcinoma of the bladder: A case report.

Primary mesonephric adenocarcinoma of the bladder is a very rare lesion. Only 9 cases have been reported since 1968, when it was first described. Due to its morphological diversity and variable immunohistochemical profile, mesonephric adenocarcinoma presents a diagnostic challenge, especially when seen in male patients, due to the rarity this entity in men. Here we present a rare case of a 63-year-old man who was found to have a bladder tumor and diagnosed with mesonephric adenocarcinoma of the bladder.