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Renal oncocytoma (RO) accounts for 5% of renal cancers and generally behaves as a benign tumor with favorable long-term prognosis. It is difficult to confidently distinguish between benign RO and other renal malignancies, particularly chromophobe renal cell carcinoma (chRCC). Therefore, RO is often managed aggressively with surgery. We sought to identify molecular biomarkers to distinguish RO from chRCC and other malignant renal cancer mimics. In a 44-patient discovery cohort, we identified a significant differential abundance of nine genes in RO relative to chRCC. These genes were used to train a classifier to distinguish RO from chRCC in an independent 57-patient cohort. The trained classifier was then validated in five independent cohorts comprising 89 total patients. This nine-gene classifier trained on the basis of differential gene expression showed 93% sensitivity and 98% specificity for distinguishing RO from chRCC across the pooled validation cohorts, with a c-statistic of 0.978. This tool may be a useful adjunct to other diagnostic modalities to decrease the diagnostic and management uncertainty associated with small renal masses and to enable clinicians to recommend more confidently less aggressive management for some tumors. PATIENT SUMMARY: Renal oncocytoma is generally a benign form of kidney cancer that does not necessarily require surgical removal. However, it is difficult to distinguish renal oncocytoma from other more aggressive forms of kidney cancer, so it is treated most commonly with surgery. We built a classification tool based on the RNA levels of nine genes that may help avoid these surgeries by reliably distinguishing renal oncocytoma from other forms of kidney cancer.

Background: Patients treated for renal cell carcinoma (RCC) may be diagnosed with a metachronous, contralateral tumor. We evaluated the risks of contralateral tumor development using the Surveillance, Epidemiology, and End Results database.Methods: Among RCC patients, we identified those with a metachronous, contralateral RCC diagnosed ≥1 year after primary diagnosis. We performed a competing risks analysis to evaluate associations between clinicopathologic factors and metachronous, bilateral RCC. Cumulative incidence and standardized incidence ratios (SIRs) were calculated.Results: There were 80,403 cases of RCC identified, with a median follow-up of 8.3 years; of these, 1063 (1.3%) developed metachronous, contralateral RCC (median of 6 years after diagnosis). The cumulative incidence at 10, 20, and 30 years of follow-up was 1.5%, 3.1%, and 4.7%, respectively. An increased risk was observed among men (hazard ratio [HR], 1.36; 95% confidence interval [CI], 1.20-1.55), blacks (HR, 2.00; 95% CI, 1.71-2.33), and those with papillary histology (HR, 1.72; 95% CI, 1.41-2.10). Risk of metachronous disease decreased with increasing age at primary diagnosis (HR per 1-year increase, 0.97; 95% CI, 0.96-0.97). The SIRs were highest among those diagnosed at a younger age and remained elevated even after extended follow-up (>10 years).Conclusions: Our findings suggest that the cumulative incidence of metachronous, contralateral RCC may be higher than previously reported. Younger age, black race, papillary histology, and male sex increase the risk of metachronous, contralateral RCC development. The high SIRs seen in all demographic groups may support a rationale for lifelong surveillance, especially in high-risk subgroups with early disease onset. [ABSTRACT FROM AUTHOR]

Introduction: Approximately 7% of patients with localized upper tract urothelial cancer (UTUC) are treated without definitive therapy. Understanding outcomes and alternative therapy would aid in counseling older patients with comorbidities., Materials and Methods: We utilized the National Cancer Database to identify patients with localized UTUC managed non-surgically between 2004 and 2013. Patient demographics, comorbidity, tumor grade, and chemotherapy and radiation utilization were recorded. Survival analyses were performed with the Kaplan-Meier method and a cox proportional hazard regression model., Results: We identified 3157 (10.9%) patients with localized UTUC who did not receive definitive surgery. Median age was 79 years, 55% were males, 79% had government health insurance, and 68% had a Charlson-Deyo Score (CDS) of 0. Tumor grade was low (grade 1 or 2) in 632 (36.4%) and high (grade 3 or 4) in 1104 (63.6%). Median overall survival (OS) for the cohort was 2.2 years, significantly shorter for patients with greater comorbidities. Chemotherapy or radiation was performed in 294 (9.3%) and 197 (6.3%) patients respectively. There were no OS differences for individuals receiving chemotherapy. Of patients who received radiation therapy, the median OS was 1.4 versus 2.0 years, (p < 0.001) favoring no radiation. Those with high grade tumors had worse survival (1.9 versus 3.8 years (p < 0.001). Significant predictors of shorter OS included older age, male gender, higher CDS, and government insurance., Conclusions: In this population-based cohort, 10.9% of patients with localized UTUC were managed non-surgically. There was no OS advantage noted in cohorts receiving chemotherapy and radiation therapy. Median OS was significantly shorter for those with higher grade disease, increasing comorbidity profile, male gender, and those with government insurance status.

Objective: The purpose of this study was to determine imaging and clinical features associated with Prostate Imaging Reporting and Data System (PI-RADS) category 5 lesions identified prospectively at multiparametric MRI (mpMRI) that were found benign at MRI-ultrasound fusion targeted biopsy., Materials and Methods: Between January 2015 and July 2016, 325 men underwent prostate mpMRI followed by MRI-ultrasound fusion targeted biopsy of 420 lesions prospectively identified and assessed with PI-RADS version 2. The frequency of clinically significant prostate cancer (defined as Gleason score ≥ 7) among PI-RADS 5 lesions was determined. Lesions with benign pathologic results were retrospectively reassessed by three abdominal radiologists and categorized as concordant or discordant between mpMRI and biopsy results. Multivariate logistic regression was used to identify factors associated with benign disease. Bonferroni correction was used., Results: Of the 98 PI-RADS 5 lesions identified in 89 patients, 18% (18/98) were benign, 10% (10/98) were Gleason 6 disease, and 71% (70/98) were clinically significant prostate cancer. Factors associated with benign disease at multivariate analysis were lower prostate-specific antigen density (odds ratio [OR], 0.88; p < 0.001) and apex (OR, 3.54; p = 0.001) or base (OR, 7.11; p = 0.012) location. On secondary review of the 18 lesions with benign pathologic results, 39% (7/18) were scored as benign prostatic hyperplasia nodules, 28% (5/18) as inflammatory changes, 5% (1/18) as normal anatomic structures, and 28% (5/18) as discordant with imaging findings., Conclusion: PI-RADS 5 lesions identified during routine clinical interpretation are associated with a high risk of clinically significant prostate cancer. A benign pathologic result was significantly correlated with lower prostate-specific antigen density and apex or base location and most commonly attributed to a benign prostatic hyperplasia nodule. Integration of these clinical features may improve the interpretation of high-risk lesions identified with mpMRI.

Objective: The objective of this study is to determine the frequency of clinically significant cancer (CSC) in Prostate Imaging Reporting and Data System (PI-RADS) category 3 (equivocal) lesions prospectively identified on multiparametric prostate MRI and to identify risk factors (RFs) for CSC that may aid in decision making., Materials and Methods: Between January 2015 and July 2016, a total of 977 consecutively seen men underwent multiparametric prostate MRI, and 342 underwent MRI-ultrasound (US) fusion targeted biopsy. A total of 474 lesions were retrospectively reviewed, and 111 were scored as PI-RADS category 3 and were visualized using a 3-T MRI scanner. Multiparametric prostate MR images were prospectively interpreted by body subspecialty radiologists trained to use PI-RADS version 2. CSC was defined as a Gleason score of at least 7 on targeted biopsy. A multivariate logistic regression model was constructed to identify the RFs associated with CSC., Results: Of the 111 PI-RADS category 3 lesions, 81 (73.0%) were benign, 11 (9.9%) were clinically insignificant (Gleason score, 6), and 19 (17.1%) were clinically significant. On multivariate analysis, three RFs were identified as significant predictors of CSC: older patient age (odds ratio [OR], 1.13; p = 0.002), smaller prostate volume (OR, 0.94; p = 0.008), and abnormal digital rectal examination (DRE) findings (OR, 3.92; p = 0.03). For PI-RADS category 3 lesions associated with zero, one, two, or three RFs, the risk of CSC was 4%, 16%, 62%, and 100%, respectively. PI-RADS category 3 lesions for which two or more RFs were noted (e.g., age ≥ 70 years, gland size ≤ 36 mL, or abnormal DRE findings) had a CSC detection rate of 67% with a sensitivity of 53%, a specificity of 95%, a positive predictive value of 67%, and a negative predictive value of 91%., Conclusion: Incorporating clinical parameters into risk stratification algorithms may improve the ability to detect clinically significant disease among PI-RADS category 3 lesions and may aid in the decision to perform biopsy.

Introduction: Evidence has demonstrated that tumor size is related to adverse oncologic outcomes in small renal tumors (≤ 4 cm). We evaluated the association of adverse pathologic features (APF) with tumor size and survival in patients with a small renal mass (SRM)., Materials and Methods: We retrospectively reviewed the pathologic characteristics of 380 surgically resected SRMs from a single institution. APFs included lymphovascular invasion, coagulative necrosis, sarcomatoid/rhabdoid features, papillary type II histology, and perinephric fat/renal sinus invasion. The number and type of APFs were compared with tumor size. Survival analysis was performed using the Kaplan-Meier method., Results: There were 244 (64.2%) males and 136 (35.8%) females. The median age was 61 years, and median tumor size was 2.7 cm. The median follow up time was 65 months. A significant association was found between tumor size and presence of APFs (p = 0.018). At least 1 APF could be found in 22%, 32%, 36%, and 49% of tumors ≤ 1 cm, 1 cm-2 cm, 2 cm-3 cm, and 3 cm-4 cm, respectively. There were no differences in overall survival or recurrence free survival when compared by tumor size at diagnosis (p = 0.22 and 0.15 respectively). Compared to patients with ≤ 1 APFs, disease specific survival was worse for patients with ≥ 2 APFs (p < 0.002)., Conclusion: Our data support that aggressive tumor biology in a SRM is associated with greater size. In patients with a SRM, the decision to pursue active surveillance and the trigger for intervention should take tumor size and APFs into consideration as this may have future oncologic implications.