Urologist-level variation in the management of T1a renal cell carcinoma: A population-based cohort study.

OBJECTIVES: Lack of strict indications in current guidelines have led to significant variation in management patterns of small renal masses. The impact of the urologist on the management approach for patients with small renal masses has not been explored previously. MATERIALS AND METHODS: Using the linked Surveillance, Epidemiology, and End Results-Medicare database, patients aged ≥66 years diagnosed with small renal masses from January 1, 2004 to December 31, 2013 were identified and assigned to primary urologists. Mixed-effects logistic models were used to evaluate factors associated with different management approaches, estimate urologist-level probabilities of each approach, assess management variation, and determine urologist impact on choice of approach. RESULTS: A total of 12,402 patients with 2,794 corresponding primary urologists were included in the study. At the individual urologist level, the estimated case-adjusted probability of different approaches varied markedly: nonsurgical management (mean, 12.8%; range, 4.9%-36.1%); thermal ablation (mean, 10.8%; range, 2.4%-66.3%); partial nephrectomy (mean, 30.1%; range, 10.1%-66.6%); and radical nephrectomy (mean, 40.4%; range, 17.7%-71.6%). Compared to patient and tumor characteristics, the primary urologist was a more influential measured factor, accounting for 13.6% (vs. 12.9%), 33.8% (vs. 2.1%), 15.1% (vs. 8.4%), and 13.5% (vs. 4.0%) of the variation in management choice for nonsurgical management, thermal ablation, partial nephrectomy, and radical nephrectomy, respectively. CONCLUSIONS: Significant variation exists in the management of small renal masses and appears to be driven primarily by urologist preference and practice patterns. Our findings emphasize the need for unified guidance regarding management of these masses to reduce unwarranted variation in care.

Assessment of Prostate and Bladder Cancer Genomic Biomarkers Using Artificial Intelligence: a Systematic Review.

PURPOSE OF REVIEW: The aim of the systematic review is to assess AI's capabilities in the genetics of prostate cancer (PCa) and bladder cancer (BCa) to evaluate target groups for such analysis as well as to assess its prospects in daily practice. RECENT FINDINGS: In total, our analysis included 27 articles: 10 articles have reported on PCa and 17 on BCa, respectively. The AI algorithms added clinical value and demonstrated promising results in several fields, including cancer detection, assessment of cancer development risk, risk stratification in terms of survival and relapse, and prediction of response to a specific therapy. Besides clinical applications, genetic analysis aided by the AI shed light on the basic urologic cancer biology. We believe, our results of the AI application to the analysis of PCa, BCa data sets will help to identify new targets for urological cancer therapy. The integration of AI in genomic research for screening and clinical applications will evolve with time to help personalizing chemotherapy, prediction of survival and relapse, aid treatment strategies such as reducing frequency of diagnostic cystoscopies, and clinical decision support, e.g., by predicting immunotherapy response. These factors will ultimately lead to personalized and precision medicine thereby improving patient outcomes.

Socioeconomic determinants of racial disparities in survival outcomes among patients with renal cell carcinoma.

PURPOSE: Racially driven outcomes in cancer are challenging to study. Studies evaluating the impact of race in renal cell carcinoma (RCC) outcomes are inconsistent and unable to disentangle socioeconomic disparities from inherent biological differences. We therefore seek to investigate socioeconomic determinants of racial disparities with respect to overall survival (OS) when comparing Black and White patients with RCC. METHODS: We queried the National Cancer Database (NCDB) for patients diagnosed with RCC between 2004 and 2017 with complete clinicodemographic data. Patients were examined across various stages (all, cT1aN0M0, and cM1) and subtypes (all, clear cell, or papillary). We performed Cox proportional hazards regression with adjustment for socioeconomic and disease factors. RESULTS: There were 386,589 patients with RCC, of whom 46,507 (12.0%) were Black. Black patients were generally younger, had more comorbid conditions, less likely to be insured, in a lower income quartile, had lower rates of high school completion, were more likely to have papillary RCC histology, and more likely to be diagnosed at a lower stage of RCC than their white counterparts. By stage, Black patients demonstrated a 16% (any stage), 22.5% (small renal mass [SRM]), and 15% (metastatic) higher risk of mortality than White patients. Survival differences were also evident in histology-specific subanalyses. Socioeconomic factors played a larger role in predicting OS among patients with SRMs than in patients with metastasis. CONCLUSIONS: Black patients with RCC demonstrate worse survival outcomes compared to White patients across all stages. Socioeconomic disparities between races play a significant role in influencing survival in RCC.

Differential changes in self-reported quality of life in elderly populations after diagnosis of a genitourinary malignancy.

BACKGROUND: The time of cancer diagnosis is a major event during which quality of life (QOL) can be affected and represents a crucial time to identify patients at high risk of decline. We sought to compare the differential effects of the diagnosis of 3 major urologic malignancies on QOL. METHODS: The Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey database was queried for patients who completed a QOL questionnaire (SF-36 or VR-12) before and after a diagnosis of bladder, kidney, or prostate cancer. Primary outcome measures were the mental component summary (MCS), and physical component summary (PCS) scores. Mixed effects linear regression was performed with cancer diagnosis as the primary variable of interest, with race and cardiovascular comorbidity status included as potentially confounding independent variables. RESULTS: There were 3,258 patients with urologic cancers. Both MCS and PCS scores dropped after diagnosis in all disease states. Bladder and kidney cancer patients demonstrated the greatest decline in MCS score (-1.762 points, 95% CI-2.571 to -0.952, P < 0.001) and PCS score (-3.769 points, 95% CI-5.042 to -2.496, P < 0.001), respectively, after adjustment for potential confounders. By contrast, prostate cancer patients demonstrated the smallest decline in both domains. Race and cardiovascular comorbidity status were independently associated with QOL, with an association 2 to 3 times greater than that of cancer diagnosis. CONCLUSIONS: Diagnosis of a urologic cancer was associated with a decline in patient-reported QOL, particularly in those with bladder or kidney cancer. Changes in physical health were more prominent than in mental health. Race and cardiovascular comorbidity status influenced QOL domains to a greater extent than specific urologic cancer diagnosis.

Predictive factors of diagnostic delay and effect on treatment patterns in testicular germ cell tumor patients.

BACKGROUND: Increased time from clinical symptom onset to diagnosis of testicular germ cell tumor (GCT), termed diagnostic delay (DD), is associated with an increased likelihood of metastatic disease at presentation. We assessed the association of patient factors on DD and subsequent treatment patterns. METHODS: The records for patients undergoing orchiectomy at a tertiary care hospital and safety net county hospital between 2006 and 2018 were obtained. Demographic variables, clinical symptoms, and post-diagnosis parameters were queried. Patient factors were assessed for association with DD by using both univariate and multivariable analyses. The effect of the Patient Protection and Affordable Care Act (PPACA) on DD was also studied. RESULTS: 201 patients received orchiectomy, and median DD was 38 days (IQR 14.5-122.5). Patients with metastatic disease had increased DD compared to those with localized disease (76 vs. 31 days, P < 0.001). Increased DD was associated with presentation to the safety net hospital (P = 0.001), non-white (P = 0.025), emergency department presentation (P = 0.025), uninsured (P = 0.01), testicular pain (P = 0.019), and presentation before 2014 (P = 0.047). DD was independently associated with presentation before 2014 (P = 0.004) on multivariate analysis. DD >38 days (i.e., above the median) was associated with increased receipt of adjuvant therapy (P = 0.001). CONCLUSION: PPACA implementation is associated with earlier detection of testicular cancer. Our findings highlight the impact of health care legislation on improving access of care to young men with cancer. Delay in diagnosis can lead to increased stage at presentation and need for adjuvant treatment. Further research to identify and overcome sociodemographic factors associated with diagnostic delay may lead to decreased treatment-related morbidity.

Self-reported quality of life as a predictor of mortality in renal cell carcinoma.

BACKGROUND: This study evaluated the utility of self-reported quality of life (QOL) metrics in predicting mortality among all-comers with renal cell carcinoma (RCC) and externally tested the findings in a registry of patients with small renal masses. METHODS: The Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) captured QOL metrics composed of mental component summary (MCS) and physical component summary (PCS) scores. Regression models assessed associations of MCS and PCS with all-cause, RCC-specific, and non-RCC-specific mortality. Harrell's concordance statistic (the C-index) and the Akaike information criterion (AIC) determined predictive accuracy and parsimony, respectively. Findings were tested in the prospective Delayed Intervention and Surveillance for Small Renal Masses (DISSRM) registry. RESULTS: In SEER-MHOS, 1494 patients had a median age of 73.4 years and a median follow-up time of 5.6 years. Each additional MCS and PCS point reduced the hazard of all-cause mortality by 1.3% (95% CI, 0.981-0.993; P < .001) and 2.3% (95% CI, 0.971-0.984; P < .001), respectively. Models with QOL metrics demonstrated higher predictive accuracy (C-index, 72.3% vs 70.1%) and parsimony (AIC, 9376.5 vs 9454.5) than models without QOL metrics. QOL metrics exerted a greater effect on non-RCC-specific mortality than RCC-specific mortality. External testing in the DISSRM registry confirmed these findings with similar results for all-cause mortality. CONCLUSIONS: Models with self-reported QOL metrics predicted all-cause mortality in patients with RCC with higher accuracy and parsimony than those without QOL metrics. Physical health was a stronger predictor of mortality than mental health. The findings support the incorporation of QOL metrics into prognostic models and patient counseling for RCC.

The early impact of medicaid expansion on urologic malignancies in the United States.

PURPOSE: To assess the effects of variable adoption of Medicaid Expansion (ME) of the Affordable Care Act among different states on urologic malignancies using a new variable that defines ME status of patient's residence in a nationwide cancer registry. BASIC PROCEDURES: The National Cancer Database was queried for urologic malignancies (bladder, prostate, kidney and testis) from 2011 to 2016, spanning the period surrounding the primary ME which took place in 2014. Trends in insurance status at time of diagnosis and effects on stage at presentation and survival after ME were evaluated using a difference-in-differences estimator and stratified Cox proportional hazards regression model. MAIN FINDINGS: The percentage of patients with Medicaid coverage at the time of diagnosis increased significantly after adoption of ME in ME states across all urologic malignancies. Concurrently, there was a significant decrease in percentage of uninsured patients diagnosed with testis cancer, but not other urologic malignancies, in ME states. A change in the stage at presentation was not observed across all urologic malignancies for patients in ME states after adoption of ME. No difference in overall survival was noted among patients living in a ME state compared to non-ME states with adoption of ME in 2014. PRINCIPAL CONCLUSIONS: Despite increases in the proportion of patients with Medicaid coverage after 2014 in states that enrolled in ME, there was not an associated change in stage at presentation or survival for patients with genitourinary malignancy.

Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes.

Lack of responsiveness to checkpoint inhibitors is a central problem in the modern era of cancer immunotherapy. Tumor neoantigens are critical targets of the host antitumor immune response, and their presence correlates with the efficacy of immunotherapy treatment. Many studies involving assessment of tumor neoantigens principally focus on total neoantigen load, which simplistically treats all neoantigens equally. Neoantigen load has been linked with treatment response and prognosis in some studies but not others. We developed a Cauchy-Schwarz index of Neoantigens (CSiN) score to better account for the degree of concentration of immunogenic neoantigens in truncal mutations. Unlike total neoantigen load determinations, CSiN incorporates the effect of both clonality and MHC binding affinity of neoantigens when characterizing tumor neoantigen profiles. By analyzing the clinical responses in 501 treated patients with cancer (with most receiving checkpoint inhibitors) and the overall survival of 1978 patients with cancer at baseline, we showed that CSiN scores predict treatment response to checkpoint inhibitors and prognosis in patients with melanoma, lung cancer, and kidney cancer. CSiN score substantially outperformed prior genetics-based prediction methods of responsiveness and fills an important gap in research involving assessment of tumor neoantigen burden.

Management of Stage II Germ Cell Tumors.

There are several treatment approaches for stage II germ cell tumors (GCTs), and a thorough understanding of the staging classification and histologic differences in tumor biology and therapeutic responsiveness is critical to determine an effective, multimodal management strategy that involves urologists, medical oncologists, and radiation oncologists. This article discusses contemporary management strategies for stage II GCTs, including chemotherapy, radiotherapy, retroperitoneal lymph node dissection (RPLND), and surveillance. Patient selection, histology, and extent of lymphadenopathy drive management, and, as both treatment and detection strategies continue to emerge and be refined, the management of patients with stage II GCT continues to evolve.

Molecular Predictors of Complete Response Following Neoadjuvant Chemotherapy in Urothelial Carcinoma of the Bladder and Upper Tracts.

Urothelial carcinoma of the bladder (UCB) and upper tracts (UTUC) is often regarded as one entity and is managed generally with similar principles. While neoadjuvant chemotherapy (NAC) followed by radical cystectomy (RC) is an established standard of care in UCB, strong evidence for a similar approach is lacking in UTUC. The longest survival is seen in patients with complete response (pT0) on pathological examination of the RC specimen, but impact of delayed RC in nonresponders may be detrimental. The rate of pT0 following NAC in UTUC is considerably lower than that in UCB due to differences in access and instrumentation. Molecular markers have been evaluated to try to predict response to chemotherapy to reduce unnecessary treatment and expedite different treatment for nonresponders. A variety of potential biomarkers have been evaluated to predict response to cisplatin based chemotherapy including DNA repair genes (ATM, RB1, FANCC, ERCC2, BRCA1, and ERCC1), regulators of apoptosis (survivin, Bcl-xL, and emmprin), receptor tyrosine kinases (EGFR and erbB2), genes involved in cellular efflux (MDR1 and CTR1), in addition to molecular subtypes (Basal, luminal, and p53-like). The current state of the literature on the prediction of response to NAC based on the presence of these biomarkers is discussed in this review.

Straight to the Operating Room: An Emergent Surgery Track for Acute Testicular Torsion Transfers.

OBJECTIVE: To assess the effect of implementing an emergency surgery track for testicular torsion transfers. We hypothesized that transferring children from other facilities diagnosed with torsion straight to the operating room (STOR) would decrease ischemia time, lower costs, and reduce testicular loss. STUDY DESIGN: Demographics, arrival to incision time, hospital cost in dollars, and testicular outcome (determined by testicular ultrasound) at follow-up were retrospectively compared in all patients transferred to our tertiary care children's hospital with a diagnosis of testicular torsion from 2012 to 2016. Clinical data for STOR and non-STOR patients were compared by Wilcoxon rank-sum, 2-tailed t test, or Fisher exact test as appropriate. RESULTS: Sixty-eight patients met inclusion criteria: 35 STOR and 33 non-STOR. Children taken STOR had a shorter median arrival to incision time (STOR: 54 minutes vs non-STOR: 94 minutes, P < .0001) and lower median total hospital costs (STOR: $3882 vs non-STOR: $4419, P < .0001). However, only 46.8% of STOR patients and 48.4% of non-STOR patients achieved surgery within 6 hours of symptom onset. Testicular salvage rates in STOR and non-STOR patients were not significantly different (STOR: 68.4% vs non-STOR: 36.8%, P = .1), but follow-up was poor. CONCLUSIONS: STOR decreased arrival to incision time and hospital cost but did not affect testicular loss. The bulk of ischemia time in torsion transfers occurred before arrival at our tertiary care center. Further interventions addressing delays in diagnosis and transfer are needed to truly improve testicular salvage rates in these patients.