Elevated periprostatic androgens, sneaky testosterone and its implications.

A subset of men with prostate cancer have elevated periprostatic androgens compared with levels in peripheral blood (termed the sneaky T phenomenon), which are associated with poor clinical outcomes after radical prostatectomy. These androgens are of testicular origin and reach the prostate, presumably through venous shunting. Varicocele physiology is accompanied by increased hydrostatic pressure within the pelvic venous system, providing a theoretical mechanistic explanation for the sneaky T phenomenon. These observations suggest a potential role for varicocele in contributing to prostate cancer pathophysiology through sneaky T, which if proved, could be a further indication for varicocele repair. Sneaky T can help to explain the differences in the natural history of benign or malignant prostatic diseases between individuals and could be a tool when deciding on the therapeutic course to take.

Clinical variables associated with major adverse cardiac events following radical cystectomy.

Objectives: The objective of this study is to investigate the association between major adverse cardiac events (MACE) and clinical factors of patients undergoing radical cystectomy (RC) for bladder cancer. Materials and Methods: A retrospective analysis using the 2015-2020 National Surgical Quality Improvement Program database was performed on patients who underwent RC for bladder cancer. MACE was defined as any report of cerebrovascular accident, myocardial infarction, or thromboembolic events (pulmonary embolism or deep vein thrombosis). A multivariable-adjusted logistic regression was conducted to identify clinical predictors of postoperative MACE. Results: A total of 10 308 (84.2%) patients underwent RC with incontinent urinary diversion (iUD), and 1938 (15.8%) underwent RC with continent urinary diversion (cUD). A total of 629 (5.1%) patients recorded a MACE, and on the multivariable-adjusted logistic regression, it was shown that MACE was significantly associated with increased age (OR = 1.035, 95% CI: 1.024-1.046, p < 0.001), obesity (OR = 1.583, 95% CI: 1.266-1.978, p < 0.001), current smokers (OR = 1.386, 95% CI: 1.130-1.700, p = 0.002), congestive heart failure before surgery (OR = 1.991, 95% CI: 1.016-3.900; p = 0.045), hypertension (OR = 1.209, 95% CI: 1.016-1.453, p = 0.043), and increase the surgical time (per 10 min increase, OR = 1.010, 95% CI: 1.003-1.017, p = 0.009). We also report that increased age, obesity, and patients undergoing cUD (OR = 1.368, 95% CI: 1.040-1.798; p = 0.025) are associated with thromboembolic events. Conclusion: By considering the preoperative characteristics of patients, including age, obesity, smoking, congestive heart failure, and hypertension status, urologists may be able to decrease the incidence of MACE in patients undergoing RC. Urologists should aim for lower operative times as this was associated with a decreased risk of thromboembolic events.

Radical prostatectomy cancer grade and percentage of Gleason pattern 4 estimated by global vs individual tumor grading correlate differently with the risk of biochemical recurrence in Grade Group 2 and 3 cancers.

OBJECTIVES: There are 2 grading approaches to radical prostatectomy (RP) in multifocal cancer: Grade Group (GG) and percentage of Gleason pattern 4 (GP4%). We investigated whether RP GG and GP4% generated by global vs individual tumor grading correlate differently with biochemical recurrence. METHODS: We reviewed 531 RP specimens with GG2 or GG3 cancer. Each tumor was scored separately with assessment of tumor volume and GP4%. Global grade and GP4% were assigned by combining Gleason pattern 3 and 4 volumes for all tumors. Correlation of GG and GP4% generated by 2 methods with biochemical recurrence was assessed by Cox proportional hazard regression and receiver operating characteristic curves, with optimism adjustment using a bootstrap analysis. RESULTS: Median age was 63 (range, 42-79) years. Median prostate-specific antigen was 6.3 (range, 0.3-62.9) ng/mL. In total, the highest-grade tumor in 371 (36.9%) men was GG2 and in 160 (30.1%) men was GG3. Global grading was downgraded from GG3 to GG2 in 37 of 121 (30.6%) specimens with multifocal disease, and 145 of 404 (35.9%) specimens had GP4% decreased by at least 10%. Ninety-eight men experienced biochemical recurrence within a median of 13 (range, 3-119) months. Men without biochemical recurrence were followed up for a median of 47 (range, 12-205) months. Grade Group, GP4%, and margin status correlated with the risk of biochemical recurrence using highest-grade tumor and global grading, but the degrees of these correlations varied and were statistically significantly different between the 2 grading approaches. CONCLUSIONS: Grade Group, GP4%, and margin status derived by global vs individual tumor grading predict postoperative biochemical recurrence statistically significantly differently. This difference has important implications if results derived from cohorts graded using different methods are compared.

Uncovering prostate cancer aggressiveness signal in T2-weighted MRI through a three-reference tissues normalization technique.

Quantitative T2-weighted MRI (T2W) interpretation is impeded by the variability of acquisition-related features, such as field strength, coil type, signal amplification, and pulse sequence parameters. The main purpose of this work is to develop an automated method for prostate T2W intensity normalization. The procedure includes the following: (i) a deep learning-based network utilizing MASK R-CNN for automatic segmentation of three reference tissues: gluteus maximus muscle, femur, and bladder; (ii) fitting a spline function between average intensities in these structures and reference values; and (iii) using the function to transform all T2W intensities. The T2W distributions in the prostate cancer regions of interest (ROIs) and normal appearing prostate tissue (NAT) were compared before and after normalization using Student's t-test. The ROIs' T2W associations with the Gleason Score (GS), Decipher genomic score, and a three-tier prostate cancer risk were evaluated with Spearman's correlation coefficient (rS ). T2W differences in indolent and aggressive prostate cancer lesions were also assessed. The MASK R-CNN was trained with manual contours from 32 patients. The normalization procedure was applied to an independent MRI dataset from 83 patients. T2W differences between ROIs and NAT significantly increased after normalization. T2W intensities in 231 biopsy ROIs were significantly negatively correlated with GS (rS = -0.21, p = 0.001), Decipher (rS = -0.193, p = 0.003), and three-tier risk (rS = -0.235, p < 0.001). The average T2W intensities in the aggressive ROIs were significantly lower than in the indolent ROIs after normalization. In conclusion, the automated triple-reference tissue normalization method significantly improved the discrimination between prostate cancer and normal prostate tissue. In addition, the normalized T2W intensities of cancer exhibited a significant association with tumor aggressiveness. By improving the quantitative utilization of the T2W in the assessment of prostate cancer on MRI, the new normalization method represents an important advance over clinical protocols that do not include sequences for the measurement of T2 relaxation times.

The Molecular, Immunologic, and Clinicodemographic Landscape of MYC-Amplified Advanced Prostate Cancer.

BACKGROUND: MYC is a commonly amplified, potentially targetable gene in prostate cancer (PCa). We sought to define the molecular, immunologic, and clinicodemographic landscape of MYC amplification (MYCamp) in advanced PCa to establish a rationale for personalized treatment combinations. METHODS: Hybrid capture-based comprehensive genomic profiling (CGP) was performed on PCa tumor samples. MYCamp = copy number ≥6 (CN). Patients treated between January 2011 and December 2020 were selected from a nationwide deidentified (280 clinics) EHR-derived clinicogenomic database (CGDB). RESULTS: Of 12,528 hormone-sensitive and castrate-resistant (CRPC) samples, MYCamp was detected in 10.6% (median CN = 8). MYCamp was more frequent in men with African versus European ancestry (12.9% vs. 10.2% P = .002), in metastatic vs. primary tissue (15.7% vs. 6.2% P < .001), and enriched in metastatic liver lesions (20.2%), but inversely associated with high microsatellite-instability (0.8% vs. 2.4%, P < .001). MYC CN≥15 was associated with PD-L1 expression (26.1% vs. 9.8%, P = .025). Amplification of AR, RAD21, LYN, CCND1, ZNF703, FGF3/4/19, and FGFR1 was enriched in MYCamp vs. MYCwt (all P < .001). In liquid samples with tumor fraction [TF]>0, MYCamp was detected in 2.0% (28/1,402), and 4.5% (20/445) with TF>20%. In the CGDB, (67 MYCamp and 658 MYCwt), patients received similar treatments; most received hormone therapies (35.8% MYCamp vs. 31.5% MYCwt) or chemotherapy (37.3% MYCamp vs. 27.7% MYCwt) as first therapy after CGP report. CONCLUSION: MYCamp defines a biologically distinct subset of PCa patients and is characterized with multiple proxies of advanced disease. These data suggest that MYCamp may be prognostic; independent cohorts are needed to validate these findings.

Adding a Coefficient for Race to the 4Kscore Improves Calibration for Black Men.

PURPOSE: Black men face a higher incidence of high-risk prostate cancer (PCa) compared with non-Black men. While the 4Kscore is a widely utilized commercial test for PCa risk assessment, it does not currently account for racial differences. The aim of this study is to describe and validate a prespecified race coefficient for the 4Kscore with the goal of improving the accuracy of this test for Black men. MATERIALS AND METHODS: Using data from 85 Black men from the initial US prospective validation study, a race coefficient of 0.6 on the log-odds scale was prespecified. We calculated discrimination, calibration, and clinical utility of the 4Kscore with and without this coefficient for Black race in our primary analysis cohort of 205 Black men undergoing biopsy for PCa in a Veterans Affairs (VA) institution. We performed a sensitivity analysis using a combined cohort from the US prospective validation and the VA studies. RESULTS: The mean probability of high-grade PCa from the 4Kscore in the primary cohort increased from 25% to 37% with race coefficient addition. Incorporating the race coefficient improved 4Kscore's calibration in Black men, with consequent improvements in clinical utility based on decision curve analysis. Model discrimination was maintained (AUC 0.825 vs 0.828, P = .14) in the combined cohort of Black and non-Black men from the US prospective and VA studies and the calibration remained largely unchanged. CONCLUSIONS: Incorporating a prespecified coefficient for Black race improved calibration and clinical utility of the 4Kscore among Black men and should be added to the 4Kscore.

Stromal and Epithelial Architectural Alterations Mimicking Invasion (Pseudoinvasion) in Noninvasive Papillary Urothelial Carcinoma.

CONTEXT.­: Retraction artifact, paradoxic maturation/differentiation, desmoplasia, and complex irregular growth are morphologic criteria of invasion in urothelial carcinoma. OBJECTIVE.­: To describe changes mimicking invasion in noninvasive papillary urothelial carcinoma (NPUC). DESIGN.­: We reviewed 159 consecutive in-house patients with NPUC for either the presence of pseudoinvasion (irregular carcinoma nests within dense hyalinized stroma in the absence of other criteria of invasion) or precursor findings (stromal hyalinization not yet associated with epithelial architectural alteration). We assessed the correlation of these findings with age, sex, evidence of peripheral vascular disease, tumor grade, tumor infarction, and tumor size. We then followed up the patients clinically for tumor recurrence or progression. RESULTS.­: We identified 233 separate NPUCs (136 high grade and 97 low grade) in 125 men and 34 women. Of the 233 tumors, 26 (11.2%) had pseudoinvasion and 24 of 233 tumors (10.3%) had precursor findings. Except for complex irregular growth, no other criteria for invasion were seen. Pseudoinvasion and precursor findings were more common in men (47 of 183 [26%] versus 3 of 50 [6%]; P = .003), larger tumors (mean size, 2.6 versus 1.2 cm; P < .001), and tumors with infarction (33 of 50 [66%] versus 29 of 183 [15.8%]; P < .001). In multivariable analysis, tumor size (odds ratio, 1.49; P =.006), male sex (odds ratio, 6.48; P = .007), and the presence of infarction (odds ratio, 6.59; P < .001) were significant variables. Recurrence rates did not differ between patients with and without pseudoinvasion (31% [5 of 16] versus 42% [45 of 107], respectively; P = .41). None of the tumors with pseudoinvasion progressed to invasive carcinoma. CONCLUSIONS.­: Given the correlation with size and presence of infarcted papillae, we suggest the possibility of tumor ischemia/infarction as a plausible etiology of pseudoinvasion. Awareness of this phenomenon is important for the accurate diagnosis of invasion in papillary urothelial carcinoma.

Clinical-Genomic Risk Group Classification of Suspicious Lesions on Prostate Multiparametric-MRI.

The utilization of multi-parametric MRI (mpMRI) in clinical decisions regarding prostate cancer patients' management has recently increased. After biopsy, clinicians can assess risk using National Comprehensive Cancer Network (NCCN) risk stratification schema and commercially available genomic classifiers, such as Decipher. We built radiomics-based models to predict lesions/patients at low risk prior to biopsy based on an established three-tier clinical-genomic classification system. Radiomic features were extracted from regions of positive biopsies and Normally Appearing Tissues (NAT) on T2-weighted and Diffusion-weighted Imaging. Using only clinical information available prior to biopsy, five models for predicting low-risk lesions/patients were evaluated, based on: 1: Clinical variables; 2: Lesion-based radiomic features; 3: Lesion and NAT radiomics; 4: Clinical and lesion-based radiomics; and 5: Clinical, lesion and NAT radiomic features. Eighty-three mpMRI exams from 78 men were analyzed. Models 1 and 2 performed similarly (Area under the receiver operating characteristic curve were 0.835 and 0.838, respectively), but radiomics significantly improved the lesion-based performance of the model in a subset analysis of patients with a negative Digital Rectal Exam (DRE). Adding normal tissue radiomics significantly improved the performance in all cases. Similar patterns were observed on patient-level models. To the best of our knowledge, this is the first study to demonstrate that machine learning radiomics-based models can predict patients' risk using combined clinical-genomic classification.

The Influence of the Microbiome on Urological Malignancies: A Systematic Review.

The microbiome, once considered peripheral, is emerging as a relevant player in the intricate web of factors contributing to cancer development and progression. These often overlooked microorganisms, in the context of urological malignancies, have been investigated primarily focusing on the gut microbiome, while exploration of urogenital microorganisms remains limited. Considering this, our systematic review delves into the complex role of these understudied actors in various neoplastic conditions, including prostate, bladder, kidney, penile, and testicular cancers. Our analysis found a total of 37 studies (prostate cancer 12, bladder cancer 20, kidney cancer 4, penile/testicular cancer 1), revealing distinct associations specific to each condition and hinting at potential therapeutic avenues and future biomarker discoveries. It becomes evident that further research is imperative to unravel the complexities of this domain and provide a more comprehensive understanding.

Racial disparity in the utilization of immunotherapy for advanced prostate cancer.

PURPOSE: To identify whether there was a disparity in the utilization of immunotherapy in the treatment of black patients with metastatic castration resistant prostate cancer (mCRPC). METHODS: Using the National Cancer Database, we identified patients between 2010- 2015 with likely minimally/asymptomatic mCRPC. We analyzed annual trends for chemotherapy and immunotherapy use and compared utilization by demographic and clinical features. Multivariable analysis was performed to determine predictors of receiving immunotherapy vs chemotherapy. RESULTS: We identified 1301 patients with likely mCRPC. The majority were non Hispanic White (NHW - 63 %) and 23 % were non-Hispanic Black (NHB). Overall, there was increased utilization of immunotherapy in mCRPC from 2010 onwards, with the peak occurring in 2014 (4.6 %). Chemotherapy use increased significantly, peaking in 2014 to 26.1 %. However, the increased utilization of immunotherapy in the mCRPC was mainly seen in White patients: from 50 % to 74.2 % of the cohort. Conversely, there was a decrease in utilization of immunotherapy among Black mCPRC patients: from 50 % to 25.8 %. On multivariable analysis, there was no statistically significant difference between treatment types by race. CONCLUSION: FDA approval of Sipuleucel-T for mCRPC led to increased utilization of immunotherapy shortly thereafter, but this was mainly noted in white patients. Black patients comparatively did not exhibit increased utilization of this novel agent after 2010. Further studies are necessary to help understand barriers to access to new treatment in mCRPC and eliminate the burden of disease in minority populations."

Clinical and Genomic Factors Associated with Greater Tumor Mutational Burden in Prostate Cancer.

Tumor mutational burden (TMB) is a biomarker that predicts response to immune checkpoint inhibitor therapy. We currently lack a comprehensive understanding of how genomic and clinical factors correlate with TMB. We used a clinicogenomic database to assess independent predictors of TMB levels. The study included 2740 prostate cancer specimens from prostate gland (51.6%), lymph nodes (14.6%), and bone (10.4%). Androgen deprivation therapy use beyond 24 mo was weakly associated with high TMB (fold-change estimate [FCE] 1.14, 95% confidence interval [CI] 1.03-1.26; p = 0.009). In comparison to the prostate gland, metastases in the bladder (FCE 1.20, 95% CI 1.02-1.42; p = 0.029), liver (FCE 1.26, 95% CI 1.10-1.43; p < 0.001), and other locations (FCE 1.26, 95% CI 1.11-1.43; p < 0.001) were associated with high TMB. Microsatellite instability high (FCE 8.46, 95% CI 6.42-11.15; p < 0.001) and intermediate (FCE 1.77, 95% CI 1.46-2.14; p < 0.001) status were associated with greater TMB. Altered genes associated with greater TMB included MLH1 (FCE 1.81; p = 0.004), MSH2 (FCE 1.87; p < 0.001), MSH6 (FCE 1.92; p < 0.001), BRCA2 (FCE 1.69; p < 0.001), CDK12 (FCE 1.40; p < 0.001), MRE11 (FCE 2.28; p = 0.016), and PALB2 (FCE 2.08; p < 0.001). Our study demonstrates that TMB is relatively stable over lines of therapies and can be used to guide treatment at diagnosis or in later lines for patients with metastatic prostate cancer. Patient summary: The number of genetic mutations in a tumor (tumor mutational burden, TMB) may help in predicting a patient's response to immunotherapy in advanced prostate cancer. We evaluated clinical and genetic factors that may affect TMB. We found that metastases in the bladder and liver are more likely to have high TMB than the primary tumor. Some individual genes are associated with high TMB. No prior treatment type was strongly associated with TMB, suggesting that TMB can be used to guide treatment at any time point.These data were presented at the American Society of Clinical Oncology 2023 Genitourinary Cancers Symposium.

Optimum threshold of the 4Kscore for biopsy in men with negative or indeterminate multiparametric magnetic resonance imaging.

Objective: The study aims to identify the optimal 4Kscore thresholds to determine the need for a prostate biopsy when multiparametric magnetic resonance imaging (MRI) (mpMRI) is negative or indeterminate. Materials and methods: We analysed retrospective data from men in eight different institutions who underwent an mpMRI, 4Kscore and prostate biopsy for evaluation of prostate cancer. We selected men with a negative (PIRADS ≤2) or indeterminate (PIRADS 3) mpMRI. 4Kscore values were categorized into ranges of 1-7, 8-19, 20-32 and greater than 32. We evaluated the proportion of men with grade group 2 or higher (GG2+) cancer in groups defined by PIRADS and 4Kscore. We also evaluated the number of biopsies avoided and GG2+ cancer missed in each group reported depend on 4Kscore cutoff points. Results: Among 1111 men who had an mpMRI, 4Kscore and biopsy, 625 of them had PIRADS ≤3 on mpMRI: 374 negative (PIRADS ≤2) and 251 indeterminate (PIRADS 3). In men with a negative mpMRI, we found a 4Kscore cut-point of 33 resulted in an increased risk of GG2+ cancer on biopsy. In patients with an equivocal lesion on mpMRI, men with a 4Kscore cutoff ≥8 had a greater risk of GG2+ cancer on biopsy. Decision curve analysis supported the proposed cut-points in each mpMRI group. Conclusions: In men with negative and indeterminate mpMRI, we found the best 4Kscore threshold to determine the need for biopsy to be 33 and 8 respectively. Future prospective studies in independent populations are needed to confirm these findings.

A multi-institutional study of 1,111 men with 4K score, multiparametric magnetic resonance imaging, and prostate biopsy.

OBJECTIVE: Prostate magnetic resonance imaging (MRI) and biomarkers are often used in conjunction to enhance the selection process for prostate biopsy. However, the optimal sequence of ordering these tests has not been established. A comprehensive evaluation was conducted on a large multi-institutional cohort of patients who underwent MRI, 4K score, and biopsy of the prostate to examine the impact of utilizing both tests vs. either test alone and to determine if the order in which these tests are administered affects the ability to detect clinically significant prostate cancer (csCaP). METHODS AND MATERIALS: We evaluated men from 8 different institutions who were referred for prostate cancer evaluation and underwent MRI, 4K score test, and prostate biopsy. The primary outcome was the presence of csCaP, defined as grade group 2 or higher cancer on a biopsy of the prostate. We used logistic regression, calibration plots, and decision curve analysis to evaluate using a 4K score or MRI alone vs. both tests together for detecting csCaP. In addition, we evaluated several strategies using one or both tests for selecting men for biopsy and compared them based on the proportion of biopsies avoided and the csCaP's missed. RESULTS: Among the 1,111 men who formed the final cohort, 553 (49.8%) had prostate cancer, and 353 (31.8%) had csCaP. We found that using MRI and 4K score together had better discrimination, calibration, and a higher clinical utility on decision curve analysis compared to using either test individually. Using both tests together resulted in fewer biopsies avoided and missed cancers compared to using either test alone. Strategies that sequence MRI and 4K score tests resulted in the largest biopsy reduction, with no appreciable difference between starting with an MRI vs. a biomarker. CONCLUSIONS: We found that using both an MRI and 4K score together was superior to using either test alone but found no appreciable difference between starting with an MRI vs. starting with a 4K score. Prospective studies are needed to identify the best strategy to sequence MRI and biomarkers in the evaluation of csCaP.

Incidence and predictors of deep incisional and organ/space surgical site infection following radical cystectomy.

OBJECTIVE: To investigate clinical risk factors associated with postoperative deep incisional or organ/space surgical site infections (SSI) following radical cystectomy (RC) in a well characterized and large contemporary cohort. METHODS: We used the American College of Surgeons National Surgical Quality Improvement Program database to identify adult patients who underwent RC for bladder cancer between 2015 and 2020 (n = 13,081). We conducted multivariable-adjusted logistic regression and Cox adjusted proportional hazards regression analysis to identify clinical predictors of deep incisional or organ/space SSI in the 30-day postoperative-period following RC. RESULTS: Deep incisional or organ/space SSI risk increased with continent urinary diversion (HR = 1.61, 95% CI: 1.38-1.88; P < 0.001), obesity (HR = 1.60, 95% CI: 1.35-1.90; P < 0.001), diabetes mellitus (HR = 1.30, 95% CI: 1.13-1.51; P < 0.001), and being functionally dependent before surgery (HR = 2.09, 95% CI: 1.44-3.03; P < 0.001). CONCLUSIONS: Postoperative deep incisional or organ/space SSIs following RC occur more frequently in patients who were obese, diabetic, functionally dependent before surgery, and those who underwent continent urinary diversion. These findings may assist urologists in preoperative counseling, medical optimization, and choice of urinary diversion approach, as well as improved patient monitoring and identification of candidates for intervention postoperatively.

Predictors of discharge to home following major surgery for urologic malignancies: Results from the national surgical quality improvement program.

OBJECTIVES: To identify patient risk factors that predict nonhome discharge after surgery for urologic malignancies as well as determine whether discharge status had an impact on readmission rates in patients undergoing surgery for urologic malignancies. METHODS: We identified patients who had undergone surgery for urologic malignancies including prostate, bladder, kidney, or upper tract urothelial cancer from 2011 to 2019 in the American College of Surgeon National Surgical Quality Improvement Program (ACS-NSQIP) database. Multivariable logistic regression analyses were performed to identify patient characteristics that were associated with nonhome discharges and 30-day postoperative readmission. RESULTS: Nonhome discharge occurred in 2.8% of our study population. Women were less likely to be discharged to home (OR 0.60 p < 0.0001). Nonhome discharge was more common in patients who underwent cystectomy when compared to nephrectomy (OR 1.41 p < 0.0001) or prostatectomy (OR 4.16 p < 0.0001). Those with elevated BMI were less likely to experience non-home discharge (OR 0.86 p=0.0095) while patients who were identified as underweight and those with unexpected weight loss prior to surgery were more likely to have nonhome discharges (OR 1.76 p = 0.0002, OR 1.67, p < 0.0001). Comorbidities and presence of postoperative complications were also found to be significant independent predictors of nonhome discharges. Thirty-day postoperative readmission occurred in 6.9% of our study population. Of the patients who were readmitted 93.1% were initially discharged home, and 6.9% had nonhome discharges. Higher risk of readmission was seen in elderly patients and those with significant comorbidities. When controlling for predictors of readmission, on multivariate analysis, non-home discharge was associated with a decreased likelihood of readmission (OR 0.79, p = 0.0004). CONCLUSIONS: Patient factors including age, gender, weight, comorbidities, postoperative complications, and site of procedure were found to be independent predictors of non-home discharge following surgery for urologic malignancies. Patients with these risk factors should be counseled preoperatively on the likelihood of requiring a non-home discharge to help manage expectations and create a standardized transition of care pathway following surgery.

Disparities in Diagnosis, Treatment Access, and Time to Treatment Among Hispanic Men With Metastatic Prostate Cancer.

PURPOSE: Reporting racial/ethnic disparities in aggregate obscures within-group heterogeneity. We sought to identify disparities in diagnosis and treatment in Hispanic subpopulations with metastatic prostate cancer (mPCa). METHODS: We disaggregated men with prostate adenocarcinoma from the National Cancer Database from 2004 to 2017 by racial subgroup and Hispanic background. We assessed (1) presenting with mPCa, (2) receiving any treatment, and (3) receiving delayed treatment beyond 90 days. Logistic regression and adjusted odds ratios (aOR) were reported. RESULTS: Hispanic men had greater odds of presenting with mPCa (aOR, 1.54; 95% CI, 1.50 to 1.58; P < .001) compared with non-Hispanic White (NHW) men. All Hispanic racial subgroups were more likely to present with mPCa, with the highest risk in Hispanic Black (HB) men (aOR, 1.68; 95% CI, 1.46 to 1.93; P < .01). Men from all Hispanic backgrounds had higher odds of presenting with mPCa, especially Mexican men (aOR, 1.99; 95% CI, 1.86 to 2.12; P < .01). Hispanic men were less likely to receive any treatment (aOR, 0.60; 95% CI, 0.53 to 0.67; P < .001), and this effect was particularly strong for Hispanic White patients (aOR, 0.58; 95% CI, 0.52 to 0.66; P < .001) and Dominican men (aOR, 0.52; 95% CI, 0.28 to 0.98; P = .044). Hispanic men were more likely to experience treatment delays compared with NHW men (aOR, 1.38; 95% CI, 1.26 to 1.52; P < .001) and in particular HB (aOR, 1.83; 95% CI, 1.22 to 2.75; P = .002) and South/Central American men (aOR, 1.48; 95% CI, 1.07 to 2.04; P = .018). CONCLUSION: Differences exist in stage at presentation, treatment receipt, and delays in treatment on disaggregation by racial subgroup and Hispanic heritage. We need to study the potential mechanisms of the observed variations to help develop targeted interventions.

Classifying Malignancy in Prostate Glandular Structures from Biopsy Scans with Deep Learning.

Histopathological classification in prostate cancer remains a challenge with high dependence on the expert practitioner. We develop a deep learning (DL) model to identify the most prominent Gleason pattern in a highly curated data cohort and validate it on an independent dataset. The histology images are partitioned in tiles (14,509) and are curated by an expert to identify individual glandular structures with assigned primary Gleason pattern grades. We use transfer learning and fine-tuning approaches to compare several deep neural network architectures that are trained on a corpus of camera images (ImageNet) and tuned with histology examples to be context appropriate for histopathological discrimination with small samples. In our study, the best DL network is able to discriminate cancer grade (GS3/4) from benign with an accuracy of 91%, F1-score of 0.91 and AUC 0.96 in a baseline test (52 patients), while the cancer grade discrimination of the GS3 from GS4 had an accuracy of 68% and AUC of 0.71 (40 patients).

Determinants of widespread metastases and of metastatic tropism in patients with prostate cancer: A genomic analysis of primary and metastatic tumors.

INTRODUCTION: Emerging evidence suggests that metastasis is better described as a spectrum of disease rather than a binary state. A greater understanding of the genomic features that determine extent and location of metastatic spread may inform risk stratification and monitoring. Here, we identify genomic alterations from primary prostate carcinomas that are predictive of wide-spread metastatic potential. METHODS: Genomic and clinical data from 1,312 patients with primary prostate carcinoma were extracted from the MSK-MET cohort through cBioPortal. Metastatic site counts and overall survival (OS) data were publicly available and used as the primary outcomes. Primary tumor samples were profiled using the MSK-IMPACT targeted sequencing platform. We focused on 58 genes frequently altered in prostate cancer. Cox proportional hazard analyses defined hazard ratios (HRs) and 95% confidence intervals (CIs) for overall mortality in patients with different metastatic outcomes. RESULTS: Out of the 1,312 patients in our cohort, 939 (71%) developed metastases, of whom 113 (8.6%) had metastases to 5 or more distinct anatomical sites (defining wide-spread metastases, WSM). Bone was the most common site of metastasis (36%), and 80% of patients with liver metastases had 4 or more additional sites of metastasis. Among patients with metastasis, increasing number of metastatic sites was associated with increased risk of death (HR: 1.8, 95%CI: 1.63-1.99, P < 0.001). Alterations in the following genes were enriched in tumors from patients with WSM vs. others: TP53 (40% vs. 20%, P < 0.0001), FOXA1-amplification (8% vs. 3%, P = 0.02), AR-amplification (4.4% vs. 1%, P = 0.01), RB1-deletion (5.3% vs. 0.7%, P = 0.001), and BRCA2-deletion (4.4% vs. 0.7%, P = 0.01). Univariable survival analysis showed all these alterations were predictive of OS (P < 0.05). On multivariable analysis, only TP53 mutations, and FOXA1 and AR amplifications were independent prognostic factors. FOXA1 (n = 37) and AR (n = 13) amplifications were mutually exclusive and patients with these experienced very poor OS (HR: 3.57, 95%CI:2.26-5.6, P < 0.001]. CONCLUSIONS: We identified genomic alterations (TP53 mutations, FOXA1/AR amplification, RB1/BRCA2 deletion) from primary prostate carcinomas that are predictive of wide-spread metastases and poor outcome.

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images.

The recent integration of open-source data with machine learning models, especially in the medical field, has opened new doors to studying disease progression and/or regression. However, the ability to use medical data for machine learning approaches is limited by the specificity of data for a particular medical condition. In this context, the most recent technologies, like generative adversarial networks (GANs), are being looked upon as a potential way to generate high-quality synthetic data that preserve the clinical variability of a condition. However, despite some success, GAN model usage remains largely minimal when depicting the heterogeneity of a disease such as prostate cancer. Previous studies from our group members have focused on automating the quantitative multi-parametric magnetic resonance imaging (mpMRI) using habitat risk scoring (HRS) maps on the prostate cancer patients in the BLaStM trial. In the current study, we aimed to use the images from the BLaStM trial and other sources to train the GAN models, generate synthetic images, and validate their quality. In this context, we used T2-weighted prostate MRI images as training data for Single Natural Image GANs (SinGANs) to make a generative model. A deep learning semantic segmentation pipeline trained the model to segment the prostate boundary on 2D MRI slices. Synthetic images with a high-level segmentation boundary of the prostate were filtered and used in the quality control assessment by participating scientists with varying degrees of experience (more than ten years, one year, or no experience) to work with MRI images. Results showed that the most experienced participating group correctly identified conventional vs. synthetic images with 67% accuracy, the group with one year of experience correctly identified the images with 58% accuracy, and the group with no prior experience reached 50% accuracy. Nearly half (47%) of the synthetic images were mistakenly evaluated as conventional. Interestingly, in a blinded quality assessment, a board-certified radiologist did not significantly differentiate between conventional and synthetic images in the context of the mean quality of synthetic and conventional images. Furthermore, to validate the usability of the generated synthetic images from prostate cancer MRIs, we subjected these to anomaly detection along with the original images. Importantly, the success rate of anomaly detection for quality control-approved synthetic data in phase one corresponded to that of the conventional images. In sum, this study shows promise that high-quality synthetic images from MRIs can be generated using GANs. Such an AI model may contribute significantly to various clinical applications which involve supervised machine-learning approaches.