Accuracy and Clinical Utility of a Tumor Grade- and Stage-based Predictive Model in Localized Upper Tract Urothelial Carcinoma.

BACKGROUND: Among various clinicopathologic factors used to identify low-risk upper tract urothelial carcinoma (UTUC), tumor grade and stage are of utmost importance. The clinical value added by inclusion of other risk factors remains unproven. OBJECTIVE: To assess the performance of a tumor grade- and stage-based (GS) model to identify patients with UTUC for whom kidney-sparing surgery (KSS) could be attempted. DESIGN, SETTING, AND PARTICIPANTS: In this international study, we reviewed the medical records of 1240 patients with UTUC who underwent radical nephroureterectomy. Complete data needed for risk stratification according to the European Association of Urology (EAU) and National Comprehensive Cancer Network (NCCN) guidelines were available for 560 patients. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Univariable and multivariable logistic regression analyses were performed to determine if risk factors were associated with the presence of localized UTUC. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the GS, EAU, and NCCN models in predicting pathologic stage were calculated. RESULTS AND LIMITATIONS: Overall, 198 patients (35%) had clinically low-grade, noninvasive tumors, and 283 (51%) had ≤pT1disease. On multivariable analyses, none of the EAU and NCCN risk factors were associated with the presence of non-muscle-invasive UTUC among patients with low-grade and low-stage UTUC. The GS model exhibited the highest accuracy, sensitivity, and negative predictive value among all three models. According to the GS, EAU, and NCCN models, the proportion of patients eligible for KSS was 35%, 6%, and 4%, respectively. Decision curve analysis revealed that the net benefit of the three models was similar within the clinically reasonable range of probability thresholds. CONCLUSIONS: The GS model showed favorable predictive accuracy and identified a greater number of KSS-eligible patients than the EAU and NCCN models. A decision-making algorithm that weighs the benefits of avoiding unnecessary kidney loss against the risk of undertreatment in case of advanced carcinoma is necessary for individualized treatment for UTUC patients. PATIENT SUMMARY: We assessed the ability of three models to predict low-grade, low-stage disease in patients with cancer of the upper urinary tract. No risk factors other than grade assessed on biopsy and stage assessed from scans were associated with better prediction of localized cancer. A model based on grade and stage may help to identify patients who could benefit from kidney-sparing treatment of their cancer.

The impact of cytoreductive nephrectomy on survival outcomes in patients treated with tyrosine kinase inhibitors for metastatic renal cell carcinoma in a real-world cohort.

BACKGROUND: Tyrosine kinase inhibitor therapy (TKI) has changed the treatment paradigm of metastatic renal cell carcinoma (mRCC). The recent CARMENA and SURTIME trials challenged the role of the cytoreductive nephrectomy (CN). OBJECTIVE: To assess the impact of CN prior to TKI therapy in patients with mRCC in a real-world setting. METHODS: Overall, 262 consecutive patients with mRCC were treated with CN plus TKI or TKI only at our institution between 2000 and 2016. Patients with prior immunotherapy or metastasectomy were excluded. Multiple imputation and inverse probability of treatment weighting (IPTW) were performed to account for missing values and imbalances between the treatment groups, respectively. Unadjusted and adjusted Kaplan-Meier estimates were used to determine differences in progression-free (PFS), overall (OS), and cancer-specific survival (CSS). RESULTS: Overall, 104 (40%) patients received CN before TKI treatment. Most frequent first line therapy was Sunitinib (66%), followed by Sorafenib (20%) and Pazopanib (10%). After adjustment with IPTW, there was no difference in PFS, CSS, and OS (all P > 0.05) between the treatment groups. In subgroup analyses, CSS was improved when CN was performed in patients with sarcomatoid features and clear cell histology (P = 0.04 and P = 0.03) and PFS was improved in patients with clear cell histology when CN was performed [0.04]). CN did not improve OS in any subgroup analysis. CONCLUSION: The role of CN remains controversial. We found no difference in survival outcomes between patients treated with and without CN before TKI therapy. However, CN was associated with improved survival in specific patient subgroups. Tailored, individualized treatment is key to further improve oncological outcomes for mRCC.

Regular Coffee Consumption Is Associated with Lower Regional Adiposity Measured by DXA among US Women.

BACKGROUND: Coffee is among the most popular daily beverages in the United States. Importantly, coffee consumption has been associated with a lower risk of multiple health outcomes including a reduction in adiposity. DXA is a means to assess body fat and distribution. OBJECTIVES: The aim of this study was to examine the relation between coffee consumption and DXA-assessed adiposity and adiposity distribution. METHODS: Cross-sectional data from the NHANES were used. Participants were adults aged 20-69 y from the 2003-2004 and 2005-2006 waves. Information on coffee consumption was assessed through the FFQ (categorized as no coffee, 0 to <0.25 cup/d, 0.25 to <1 cup/d, 1 cup/d, 2-3 cups/d, or ≥4 cups/d). Both caffeinated and decaffeinated coffee consumption were included. Trunk fat and total fat percentage were measured via whole-body DXA scans. The association between coffee consumption and body fat was investigated using age-adjusted and multivariable-adjusted linear regression models which accounted for sample weights. RESULTS: Higher coffee consumption was associated with significantly lower total body fat percentage and trunk body fat percentage in a dose-response manner (all P values < 0.05) among women. Although this dose-response relation was nonsignificant among men, men aged 20-44 y who drank 2-3 cups/d had 1.3% (95% CI: -2.7%, 0.1%) less total fat and 1.8% (95% CI: -3.3%, -0.4%) less trunk fat than those who did not consume coffee. Furthermore, the association between coffee consumption and body fat percentage exhibited for both caffeinated and decaffeinated coffee among women (all P for trend < 0.001) but not among men (all P for trend > 0.05). CONCLUSIONS: The present study found a significant association between higher coffee consumption and lower DXA-measured adiposity. Moreover, a gender difference in this association in the general US adult population was also observed.

Prevalence and Prognostic Value of the Polymorphic Variant 1245A>C of HSD3B1 in Castration-resistant Prostate Cancer.

INTRODUCTION: The purpose of this study was to investigate the prevalence and prognostic value of the polymorphic variant (1245A>C), a single nucleotide polymorphism (SNP) of the HSD3B1 gene, in the tumors of patients with castration-resistant prostate cancer (CRPC). MATERIALS AND METHODS: We retrospectively evaluated 44 patients with CRPC who underwent palliative transurethral resection of the prostate. Genomic DNA was extracted from formalin-fixed and paraffin-embedded material, and 1245A>C SNP of the HSD3B1 gene was analyzed via Sanger sequencing. Cox regression analysis was used to assess the prognostic value of the respective SNP with time to progression as well as cancer-specific and overall survival in the subgroup of patients receiving second systemic treatment. RESULTS: The SNP was present in 20 patients (51.2%) who received second line systemic treatment additionally to androgen deprivation, of which 16 (80%) patients were heterozygous and 4 (20%) were homozygous. Correlation analysis revealed no association of the SNP with any clinical characteristics at initiation of second-line systemic treatment. Moreover, the presence of the variant (1245A>C) of HSD3B1 was not associated with any survival endpoint. CONCLUSIONS: The variant allele 1245C of the HSD3B1 gene is present in approximately one-half of patients with CRPC; however, it is not associated with oncologic outcomes. These findings, however, need to be interpreted with caution as the sample size is small. Further research on biomarkers is needed to help tailor clinical decision making in prostate cancer, especially in the increasingly complex therapeutic landscape of CRPC.