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We sought to automate R.E.N.A.L. (for radius, exophytic/endophytic, nearness of tumor to collecting system, anterior/posterior, location relative to polar line) nephrometry scoring of preoperative computerized tomography scans and create an artificial intelligence-generated score (AI-score). Subsequently, we aimed to evaluate its ability to predict meaningful oncologic and perioperative outcomes as compared to expert human-generated nephrometry scores (H-scores).A total of 300 patients with preoperative computerized tomography were identified from a cohort of 544 consecutive patients undergoing surgical extirpation for suspected renal cancer at a single institution. A deep neural network approach was used to automatically segment kidneys and tumors, and geometric algorithms were developed to estimate components of R.E.N.A.L. nephrometry score. Tumors were independently scored by medical personnel blinded to AI-scores. AI- and H-score agreement was assessed using Lin's concordance correlation and their predictive abilities for both oncologic and perioperative outcomes were assessed using areas under the curve.Median age was 60 years (IQE 51-68), and 40% were female. Median tumor size was 4.2 cm and 91.3% had malignant tumors, including 27%, 37% and 24% with high stage, grade and necrosis, respectively. There was significant agreement between H-scores and AI-scores (Lin's ⍴=0.59). Both AI- and H-scores similarly predicted meaningful oncologic outcomes (p0.001) including presence of malignancy, necrosis, and high-grade and -stage disease (p0.003). They also predicted surgical approach (p0.004) and specific perioperative outcomes (p0.05).Fully automated AI-generated R.E.N.A.L. scores are comparable to human-generated R.E.N.A.L. scores and predict a wide variety of meaningful patient-centered outcomes. This unambiguous artificial intelligence-based scoring is intended to facilitate wider adoption of the R.E.N.A.L. score.

The role of cytoreductive nephrectomy (CN) in metastatic renal cell carcinoma (mRCC) was challenged by the results of the CARMENA trial. Here we evaluate the role of CN in mRCC patients, including those receiving modern therapies.We included patients with synchronous mRCC between 2011-2020 from the de-identified nationwide Flatiron Health database. We evaluated 3 groups: systemic therapy alone, CN followed by systemic therapy (up-front CN [uCN]) and systemic therapy followed by CN (deferred CN [dCN]). The primary outcome was median overall survival (mOS) in patients receiving systemic therapy alone vs uCN. Secondary outcome was overall survival in patients receiving uCN vs dCN. First-treatment, landmark and time-varying covariate analyses were conducted to overcome immortal time bias. Weighted Kaplan-Meier curves, log-rank tests and Cox proportional hazards regressions were used to assess the effect of therapy on survival.Of 1,910 patients with mRCC, 972 (57%) received systemic therapy, 605 (32%) received uCN, 142 (8%) dCN and 191 (10%) CN alone; 433 (23%) patients received immunotherapy-based therapy. The adjusted mOS was significantly improved in first-treatment, landmark and time-varying covariate analysis (mOS 26.6 vs 14.6 months, 36.3 vs 21.1 months and 26.1 vs 12.2 months, respectively) in patients undergoing CN. Among patients receiving CN and systemic therapy, the timing of systemic therapy relative to CN was not significantly related to overall survival (HR=1.0, 95% CI 0.76-1.32, p=0.99).Our findings support an oncologic role for CN in select mRCC patients. In patients receiving both CN and systemic therapy, the survival benefit compared to systemic alone was similar for up-front and deferred CN.

PDF file - 4006K, Myeloid cell gating strategy. The myeloid cell gating strategy used in these experiments is shown with representative data from a healthy control donor. A. Forward scatter area and height were used to exclude aggregates and clusters of cells. B. Dead cells were excluded by propidium iodode staining. C. CD45+ Leukocytes were divided into lymphocyte and myeloid gates based on side scatter. D. T cells and NK cells were excluded from the myeloid cell analysis by CD3 and CD56 expression. E. Cells that express neither CD14 nor CD16 were excluded from the myeloid analysis (mostly B cells at this point in the gating). F. Myeloid cells were sub-gated into Classical Monocytes (CD14bright CD16-), Intermediate Monocytes (CD14bright CD16dim), Non-classical Monocytes (CD14dim CD16dim), CD14bright CD16bright myeloid cells, and Neutrophils (CD14dim CD16bright). Note that most of the neutrophils were removed along with the erythrocytes during gradient centrifugation on Lympoprep).

PDF file - 471K, Correlation between PD-1 expression and CD69 expression on T cells in pre-operative blood samples. Correlation of PD-1 expression on T cells (x-axis) to CD69 expression T cells (y-axis) is shown. A vertical line marks the median PD-1 expression on and the median CD69 expression is marked by a horizontal line. Statistical significance was calculated by a Spearman correlation. A least squares linear fit is shown as a thick black line.

PDF file - 5296K, Lymphocyte gating strategy. A. Leukocytes were gated as described in Supplemental Figure 1. B. T Cells were identified as CD3+ lymphocytes and NK cells as (CD3- CD56+) lymphocytes. C. T cells were sub-divided by CD4 and CD8 expression. D. CD8+ T cells were divided into subsets of Naive (CD45RA+ CD62L+), Effector (CD45RA+ CD62L-), Central Memory (CD45RA- CD62L+), and Effector Memory (CD45RA- CD62L-). E. CD4+ T Cells were sub-divided as for CD8+ T cells. F. B cells were identified as CD19+ lymphocytes. G. NK Cells were further divided into CD56bright and CD56dim phenotypes. H. B Cells were sub-divided into Naive (CD20+ CD27-), Memory (CD20+ CD27+), and plasmacytoid (CD20- CD27+). Fully differentiated plasma cells fall outside these gates because they are CD45-.

PDF file - 3477K, Effect of surgery on cellular activation markers. Pre-surgical (time point zero) and post-surgical (at designated weeks after surgery) measurements on the same patients are connected by a line and the statistical significance is calculated by a paired Wilcoxon rank-sum test. Data points from stage 4 patients are marked with black filled diamonds and the data from the single stage 3 patient is shown in grey. Sub-panels are as follows: A) CD69 on T Cells (CD3+ CD45+ CD56-), B) Perforin in CD8+ T Cells, C) Granzyme B in CD8+ T Cells, D) Perforin in CD4+ T Cells, E) Granzyme B in CD56dim NK Cells, F) Perforin in CD56dim NK Cells.

PDF file - 79K, Supplemental Table S1. Donor Characteristics. Supplemental Table S2. Antibody staining panel. Supplemental Table S3. Specific immune parameters analyzed.

Programmed death-1 (PD-1) receptor is an inhibitory receptor on hematopoietic cells that can negatively regulate immune responses, particularly responses to tumors, which often upregulate PD-1 ligands. PD-1/PD-1 ligand blocking antibodies can reverse the inhibition and show significant therapeutic promise in treating renal cell carcinoma (RCC), lung cancer, and melanoma. While PD-1 expression on tumor-infiltrating lymphocytes has been associated with poor outcome in RCC, we sought to define immune cell biomarkers, including PD-1, on peripheral blood mononuclear cells (PBMC) that could predict disease progression of RCC patients before and after nephrectomy. We analyzed expression of numerous immune cell markers on fresh PBMCs from 90 RCC patients preoperatively and 25 age-matched healthy controls by 10-color flow cytometry. Postoperative blood samples were also analyzed from 23 members of the RCC patient cohort. The most striking phenotypic immune biomarker in RCC patients was a significant increase in PD-1 expression on certain PBMCs in a subset of patients. Increased PD-1 expression on CD14bright myelomonocytic cells, effector T cells, and natural killer (NK) cells correlated to disease stage, and expression was significantly reduced on all cell types soon after surgical resection of the primary tumor. The results indicate that PD-1 expression on fresh peripheral blood leukocytes may provide a useful indicator of RCC disease progression. Furthermore, measuring PD-1 levels in peripheral blood may assist in identifying patients likely to respond to PD-1 blocking antibodies, and these therapies may be most effective before and immediately after surgical resection of the primary tumor, when PD-1 expression is most prominent. Cancer Immunol Res; 2(4); 320–31. ©2013 AACR.

subsequent standard of care treaments

Consort diagram

supplementary figure 1 legend

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Purpose: Sunitinib and sorafenib are used widely in the treatment of renal cell carcinoma (RCC). These agents are associated with a significant incidence of cardiovascular (CV) dysfunction and left ventricular ejection fraction (LVEF) declines, observed largely in the metastatic setting. However, in the adjuvant population, the CV effects of these agents remain unknown. We prospectively defined the incidence of cardiotoxicity among resected, high-risk RCC patients treated with these agents.Experimental Design: Sunitinib, sorafenib, or placebo was administered for up to 12 months in patients with high-risk, resected RCC. LVEF was measured by multigated acquisition (MUGA) scans at standard intervals. Additional CV adverse events were reported according to NCI Common Terminology Criteria for Adverse Events (CTCAE).Results: Among 1,943 patients randomized, 1,599 had at least 1 post-baseline MUGA. Within 6 months, 21 patients (1.3%) experienced a cardiac event, defined as an LVEF decline from baseline that was >15% and below the institutional lower limit of normal. Nine of 513 patients (1.8%) were on sunitinib, 7 of 508 (1.4%) on sorafenib, and 5 of 578 (0.9%) on placebo (P = 0.28 and 0.56 comparing sunitinib and sorafenib to placebo, respectively). With dose interruption or adjustment, 16 of the 21 recovered their LVEF to >50%. The incidence of symptomatic heart failure, arrhythmia, or myocardial ischemia did not differ among groups.Conclusions: In the adjuvant setting, we prospectively define low incidence of cardiotoxicity with sunitinib and sorafenib. These findings may be related to close CV monitoring, or potentially to fewer CV comorbidities in our nonmetastatic population. Clin Cancer Res; 21(18); 4048–54. ©2015 AACR.

Purpose:The use of VEGFR TKIs for the adjuvant treatment of renal cell carcinoma (RCC) remains controversial. We investigated the effects of adjuvant VEGFR TKIs on circulating cytokines in the ECOG-ACRIN 2805 (ASSURE) trial.Experimental Design:Patients with resected high-risk RCC were randomized to sunitinib, sorafenib, or placebo. Plasma from 413 patients was analyzed from post-nephrectomy baseline, 4 weeks, and 6 weeks after treatment initiation. Mixed effects and Cox proportional hazards models were used to test for changes in circulating cytokines and associations between disease-free survival (DFS) and cytokine levels.Results:VEGF and PlGF increased after 4 weeks on sunitinib or sorafenib (P < 0.0001 for both) and returned to baseline at 6 weeks on sunitinib (corresponding to the break in the sunitinib schedule) but not sorafenib (which was administered continuously). sFLT-1 decreased after 4 weeks on sunitinib and 6 weeks on sorafenib (P < 0.0001). sVEGFR-2 decreased after both 4 and 6 weeks of treatment on sunitinib or sorafenib (P < 0.0001). Patients receiving placebo had no significant changes in cytokine levels. CXCL10 was elevated at 4 and 6 weeks on sunitinib and sorafenib but not on placebo. Higher baseline CXCL10 was associated with worse DFS (HR 1.41 per log increase in CXCL10, Bonferroni-adjusted P = 0.003). This remained significant after adjustment for T-stage, Fuhrman grade, and ECOG performance status.Conclusions:Among patients treated with adjuvant VEGFR TKIs for RCC, drug–host interactions mediate changes in circulating cytokines. Elevated baseline CXCL10 was associated with worse DFS. Studies to understand functional consequences of these changes are under way.

Supplementary Figure: Consort diagram of patients participating in cardiac sub study

Distribution of baseline KIM-1 values

Purpose:No circulating biomarkers are currently available to identify patients at highest risk of recurrence after nephrectomy for renal cell carcinoma (RCC). Kidney injury molecule-1 (KIM-1) is overexpressed in RCC and its ectodomain circulates in plasma. We investigated whether plasma KIM-1 is a prognostic biomarker in patients with localized RCC after nephrectomy.Experimental Design:The ECOG-ACRIN E2805 (ASSURE) trial evaluated adjuvant sunitinib, sorafenib, or placebo in resected high-risk RCC. KIM-1 levels were measured from banked plasma at trial enrollment 4–12 weeks after nephrectomy. Lognormal accelerated failure time models were used to test for association between KIM-1 and disease-free survival (DFS) as well as overall survival (OS).Results:Plasma from 418 patients was analyzed. Higher post-nephrectomy KIM-1 was associated with worse DFS across all study arms after adjustment for Fuhrman grade, T stage, N stage, and tumor histology [survival time ratio 0.56 for 75th vs. 25th percentile of KIM-1; 95% confidence interval (CI), 0.42–0.73; P < 0.001]. The association between KIM-1 and DFS was stronger among patients with pathologic nodal involvement (Pinteraction = 0.0086). The addition of post-nephrectomy KIM-1 improved the concordance of clinical prognostic models [Stage, Size, Grade, and Necrosis (SSIGN) concordance 0.57 vs. 0.43, P = 0.05; UCLA International Staging System (UISS) concordance 0.60 vs. 0.40, P = 0.0005]. Higher post-nephrectomy KIM-1 was also associated with worse OS after multivariable adjustment (survival time ratio 0.71 for 75th vs. 25th percentile of KIM-1; 95% CI, 0.56–0.91; P < 0.001).Conclusions:Post-nephrectomy plasma KIM-1 is associated with DFS and OS in RCC, and may be a biomarker for microscopic residual disease.

Background: Men with familial prostate cancer and African American men are at risk for developing prostate cancer at younger ages. Genetic markers predicting early-onset prostate cancer may provide clinically useful information to guide screening strategies for high-risk men. We evaluated clinical information from six polymorphisms associated with early-onset prostate cancer in a longitudinal cohort of high-risk men enrolled in prostate cancer early detection with significant African American participation.Methods: Eligibility criteria include ages 35 to 69 with a family history of prostate cancer or African American race. Participants undergo screening and biopsy per study criteria. Six markers associated with early-onset prostate cancer [rs2171492 (7q32), rs6983561 (8q24), rs10993994 (10q11), rs4430796 (17q12), rs1799950 (17q21), and rs266849 (19q13)] were genotyped. Cox models were used to evaluate time to prostate cancer diagnosis and prostate-specific antigen (PSA) prediction for prostate cancer by genotype. Harrell's concordance index was used to evaluate predictive accuracy for prostate cancer by PSA and genetic markers.Results: Four hundred and sixty participants with complete data and ≥1 follow-up visit were included. Fifty-six percent were African American. Among African American men, rs6983561 genotype was significantly associated with earlier time to prostate cancer diagnosis (P = 0.005) and influenced prediction for prostate cancer by the PSA (P < 0.001). When combined with PSA, rs6983561 improved predictive accuracy for prostate cancer compared with PSA alone among African American men (PSA = 0.57 vs. PSA + rs6983561 = 0.75, P = 0.03).Conclusions: Early-onset marker rs6983561 adds potentially useful clinical information for African American men undergoing prostate cancer risk assessment. Further study is warranted to validate these findings.Impact: Genetic markers of early-onset prostate cancer have potential to refine and personalize prostate cancer early detection for high-risk men. Cancer Epidemiol Biomarkers Prev; 21(1); 53–60. ©2011 AACR.

Supplemental Table 1: Catalog numbers for MSD assays Supplemental Figure 1: Hazard ratio for CXCL10 and DFS by treatment arm Supplemental Figure 2: Assessment of log-linearity for relationship between IP-10 and recurrence risk Supplemental Table 2: Median changes in cytokines at weeks 4 and 6 Supplemental Table 3: Relationship between on-treatment cytokine levels and DFS Supplemental Table 4: Subset analysis for cytokine changes among patients who did not recur Supplemental Table 5: Evaluation for interaction effects between treatment arm and the association between baseline CXCL10 and DFS

Purpose:Rocapuldencel-T is an autologous immunotherapy prepared from mature monocyte-derived dendritic cells (DC), coelectroporated with amplified tumor RNA plus CD40L RNA. This pivotal phase III trial was initiated to investigate the safety and efficacy of a combination therapy dosing regimen of Rocapuldencel-T plus sunitinib in patients with metastatic renal cell carcinoma (mRCC).Patients and Methods:Patients received either Rocapuldencel-T plus standard of care (SOC) or SOC treatment alone. The primary objective compared overall survival (OS) between groups. Secondary objectives included safety assessments, progression-free survival (PFS), and tumor responses based on RECIST 1.1 criteria. Exploratory analyses included immunologic assessments and correlates with OS.Results:Between 2013 and 2016, 462 patients were randomized 2:1, 307 to the combination group and 155 to the SOC group. Median OS in the combination group was 27.7 months [95% confidence interval (CI) 23.0–35.9] and 32.4 months (95% CI, 22.5–) in the SOC group HR of 1.10 (95% CI, 0.83–1.40). PFS was 6.0 months and 7.83 months for the combination and SOC groups, respectively [HR = 1.15 (95% CI, 0.92–1.44)]. The ORR was 42.7% (95% CI, 37.1–48.4) for the combination group and 39.4% (95% CI, 31.6–47.5) for the SOC group. Median follow up was 29 months (0.4–47.7 months). On the basis of the lack of clinical efficacy, the ADAPT trial was terminated on February 17, 2017. Immune responses were detected in 70% of patients treated with Rocapuldencel-T, and the magnitude of the immune response positively correlated with OS. In addition, we report the survival-predictive value of measuring IL-12 produced by the DC vaccine and the observation that high baseline numbers of T regulatory cells are associated with improved outcomes in DC-treated patients, but are associated with poor outcomes in patients receiving SOC treatment. No serious adverse events attributed to the study medication have been reported to date.Conclusions:Rocapuldencel-T did not improve OS in patients treated with combination therapy, although the induced immune response correlated with OS. Moreover, we identified two potential survival-predictive biomarkers for patients receiving DC based immunotherapy, IL-12 produced by the DC vaccine and higher numbers of T regulatory cells present in the peripheral blood of patients with advanced RCC.

Supplementary Tables 1-5, Figures 1-3. Supplemental Table 1: Events per person-year of follow-up Supplemental Table 2: Event rates among patients randomized to sorafenib or sunitinib who started at reduced vs. full dose Supplemental Table 3a. Event rates among patients who did or did not discontinue treatment due to adverse events, and among patients with ECOG PS 0 vs. 1 Supplemental Table 3b: Baseline LVEF and change in LVEF among patients who did or did not discontinue treatment due to adverse events Supplemental Table 4: Relationship among treatment duration, baseline LVEF by MUGA, and probability of an event by any definition Supplemental Table 5: Relationship among treatment duration, baseline LVEF by MUGA, and probability of an event by the definition "Per Protocol Including Other" Supplemental Figure 1: Relationship among baseline LVEF by MUGA, treatment duration, and event status, where event is defined by any of the criteria Supplemental Figure 2: Relationship among baseline LVEF by MUGA, treatment duration, and event status, where event is defined as a decline in LVEF of 16% or more to below the lower limit of normal, or a grade 3 or higher cardiac adverse event Supplemental Figure 3: Algorithm for management of study drug-induced hypertension

ADAPT study group and participating centers

Sensitivity analysis AFT model for DFS with imputation of KIM-1 levels below lower limit of detection (9.1 pg/mL)

Supplementary Legend S1 from Identification of Novel Target Genes by an Epigenetic Reactivation Screen of Renal Cancer

Aberrant promoter hypermethylation is a common mechanism for inactivation of tumor suppressor genes in cancer cells. To generate a global profile of genes silenced by hypermethylation in renal cell cancer (RCC), we did an expression microarray-based analysis of genes reactivated in the 786-0, ACHN, HRC51, and HRC59 RCC lines after treatment with the demethylating drug 5-aza-2 deoxycytidine and histone deacetylation inhibiting drug trichostatin A. Between 111 to 170 genes were found to have at least 3-fold up-regulation of expression after treatment in each cell line. To establish the specificity of the screen for identification of genes, epigenetically silenced in cancer cells, we validated a subset of 12 up-regulated genes. Three genes (IGFBP1, IGFBP3, and COL1A1) showed promoter methylation in tumor DNA but were unmethylated in normal cell DNA. One gene (GDF15) was methylated in normal cells but more densely methylated in tumor cells. One gene (PLAU) showed cancer cell–specific methylation that did not correlate well with expression status. The remaining seven genes had unmethylated promoters, although at least one of these genes (TGM2) may be regulated by RASSF1A, which was methylated in the RCC lines. Thus, we were able to show that up-regulation of at least 6 of the 12 genes examined was due to epigenetic reactivation. The IGFBP1, IGFBP3, and COL1A1 gene promoter regions were found to be frequently methylated in primary renal cell tumors, and further study will provide insight into the biology of the disease and facilitate translational studies in renal cancer. (Cancer Res 2006; 66(10): 5021-8)

Supplementary Figure S1 from Identification of Novel Target Genes by an Epigenetic Reactivation Screen of Renal Cancer

Background: Most safety and efficacy trials of the SARS-CoV-2 vaccines excluded patients with cancer, yet these patients are more likely than healthy individuals to contract SARS-CoV-2 and more likely to become seriously ill after infection. Our objective was to record short-term adverse reactions to the COVID-19 vaccine in patients with cancer, to compare the magnitude and duration of these reactions with those of patients without cancer, and to determine whether adverse reactions are related to active cancer therapy. Patients and Methods: A prospective, single-institution observational study was performed at an NCI-designated Comprehensive Cancer Center. All study participants received 2 doses of the Pfizer BNT162b2 vaccine separated by approximately 3 weeks. A report of adverse reactions to dose 1 of the vaccine was completed upon return to the clinic for dose 2. Participants completed an identical survey either online or by telephone 2 weeks after the second vaccine dose. Results: The cohort of 1,753 patients included 67.5% who had a history of cancer and 12.0% who were receiving active cancer treatment. Local pain at the injection site was the most frequently reported symptom for all respondents and did not distinguish patients with cancer from those without cancer after either dose 1 (39.3% vs 43.9%; P=.07) or dose 2 (42.5% vs 40.3%; P=.45). Among patients with cancer, those receiving active treatment were less likely to report pain at the injection site after dose 1 compared with those not receiving active treatment (30.0% vs 41.4%; P=.002). The onset and duration of adverse events was otherwise unrelated to active cancer treatment. Conclusions: When patients with cancer were compared with those without cancer, few differences in reported adverse events were noted. Active cancer treatment had little impact on adverse event profiles.

To use data from a large, prospectively- acquired regional collaborative database to compare the risk of infectious complications associated with three American Urologic Association- recommended antibiotic prophylaxis pathways, including culture-directed or augmented antibiotics, following prostate biopsy.Data on prostate biopsies and outcomes were collected from the Pennsylvania Urologic Regional Collaborative, a regional quality collaborative working to improve the diagnosis and treatment of prostate cancer. Patients were categorized as receiving one of three prophylaxis pathways: culture-directed, augmented, or provider-discretion. Infectious complications included fever, urinary tract infections or sepsis within one month of biopsy. Odds ratios of infectious complication by pathway were determined, and univariate and multivariate analyses of patient and biopsy characteristics were performed.11,940 biopsies were included, 120 of which resulted in infectious outcomes. Of the total biopsies, 3246 used "culture-directed", 1446 used "augmented" and 7207 used "provider-discretion" prophylaxis. Compared to provider-discretion, the culture-directed pathway had 84% less chance of any infectious outcome (OR= 0.159, 95% CI = [0.074, 0.344], P0.001). There was no difference in infectious complications between augmented and provider-discretion pathways.The culture-directed pathway for transrectal prostate biopsy resulted in significantly fewer infectious complications compared to other prophylaxis strategies. Tailoring antibiotics addresses antibiotic-resistant bacteria and reduces future risk of resistance. These findings make a strong case for incorporating culture-directed antibiotic prophylaxis into clinical practice guidelines to reduce infection following prostate biopsies.

This AUA Guideline focuses on evaluation/counseling/management of adult patients with clinically-localized renal masses suspicious for cancer, including solid-enhancing tumors and Bosniak 3/4 complex-cystic lesions.The Renal Mass and Localized Renal Cancer guideline underwent an update literature review which resulted in the 2021 amendment. When sufficient evidence existed, the body of evidence was assigned a strength rating of A (high), B (moderate), or C (low) for support of Strong, Moderate, or Conditional Recommendations. In the absence of sufficient evidence, additional information is provided as Clinical Principles and Expert Opinions (table 1[Table: see text]).Great progress has been made regarding the evaluation/management of clinically-localized renal masses. These guidelines provide updated, evidence-based recommendations regarding evaluation/counseling including the evolving role of renal-mass-biopsy (RMB). Given great variability of clinical/oncologic/functional characteristics, index patients are not utilized and the panel advocates individualized counseling/management. Options for intervention (partial-nephrectomy (PN), radical-nephrectomy (RN), and thermal-ablation (TA)) are reviewed including recent data about comparative-effectiveness/potential morbidities. Oncologic issues are prioritized while recognizing the importance of functional-outcomes for survivorship. Granular criteria for RN are provided to help reduce overutilization of RN while also avoiding imprudent PN. Priority for PN is recommended for clinical T1a lesions, along with selective utilization of TA, which has good efficacy for tumors≤3.0 cm. Recommendations for genetic-counseling have been revised and considerations for adjuvant-therapies are addressed. Active-surveillance and follow-up after intervention are discussed in an adjunctive article.Several factors require consideration during counseling/management of patients with clinically-localized renal masses including general health/comorbidities, oncologic-considerations, functional-consequences, and relative efficacy/potential morbidities of various management-strategies.

OBJECTIVES To determine whether patients with carcinoma invading bladder muscle (MIBC) and ureteric obstruction can safely receive cisplatin-based neoadjuvant chemotherapy (C-NAC), and to determine whether such patients require relief of obstruction with a ureteric stent or percutaneous nephrostomy prior to beginning C-NAC. PATIENTS AND METHODS We performed a single-institution retrospective analysis of MIBC patients receiving C-NAC and falling into three groups: no ureteric obstruction (NO); relieved ureteric obstruction (RO); and unrelieved ureteric obstruction (URO). To address whether patients with obstruction can safely receive C-NAC, we compared patients with NO to those with RO, with the primary outcome of premature chemotherapy discontinuation. To investigate whether patients with obstruction should have the obstruction relieved prior to NAC, we compared RO to URO patients using a primary composite outcome of grade ≥ 3 adverse events, premature chemotherapy discontinuation, dose reduction, or dose interruption. The primary outcomes were compared using multivariable logistic regression. Sensitivity analyses were performed for the RO vs URO comparison, in which patients with only mild degrees of obstruction were excluded from the URO group. RESULTS A total of 193 patients with NO, 49 with RO, and 35 with URO were analysed. There were no statistically significant differences between those with NO and those with RO in chemotherapy discontinuation (15% vs 22%; P = 0.3) or any secondary outcome. There was no statistically significant difference between those with RO and URO in the primary composite outcome (51% vs 53%; P = 1) or any secondary outcome. CONCLUSION Patients with ureteric obstruction can safely receive C-NAC. Relief of obstruction was not associated with increased safety of C-NAC delivery.

Background Multi-targeted tyrosine kinase inhibitors (TKIs) are the standard of care for patients with advanced clear cell renal cell carcinoma (ccRCC). However, a significant number of ccRCC patients are primarily refractory to targeted therapeutics, showing neither disease stabilisation nor clinical benefits. Methods We used CRISPR/Cas9-based high-throughput loss of function (LOF) screening to identify cellular factors involved in the resistance to sunitinib. Next, we validated druggable molecular factors that are synthetically lethal with sunitinib treatment using cell and animal models of ccRCC. Results Our screening identified farnesyltransferase among the top hits contributing to sunitinib resistance in ccRCC. Combined treatment with farnesyltransferase inhibitor lonafarnib potently augmented the anti-tumour efficacy of sunitinib both in vitro and in vivo. Conclusion CRISPR/Cas9 LOF screening presents a promising approach to identify and target cellular factors involved in the resistance to anti-cancer therapeutics.

Kidney cancer is one of the 10 most common cancers both in the United States and worldwide. Until this year, there had not previously been a conference focused on translational studies in the broad and heterogeneous group of kidney cancers. Therefore, a group of researchers, clinicians, and patient advocates dedicated to renal cell carcinoma launched the Kidney Cancer Research Summit (KCRS) to spur collaboration and further therapeutic advances in these tumors. This commentary aims to summarize the oral presentations and serve as a record for future iterations of this meeting. The KCRS sessions addressed the tumor microenvironment, novel methods of drug delivery, single cell sequencing strategies, novel immune checkpoint blockade and cellular therapies, predictive biomarkers, and rare variants of kidney cancers. In addition, the meeting included 2 sessions to promote scientific mentoring and kidney cancer research collaborations. A subsequent KCRS will be planned for the fall of 2020.

Context: Over the last decade, several nephrometry scores (NSs) have been introduced with the aim of facilitating preoperative decision making, planning, and counseling in the field of nephron-sparing surgery. However, their predictive role remains controversial. Objective: To describe currently available nephrometry scores and to determine their predictive role for different outcomes by performing a systematic review and meta-analysis of the literature. Evidence acquisition: PubMed, Embase®, and Web of Science were screened to identify eligible studies. Identification and selection of the reports were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). A pooled analysis of NS predictive role of intraoperative, postoperative, oncological, and functional outcomes was performed. Odds ratio was considered the effect size. All the analyses were performed using Stata 15.0, and statistical significance was set at p ≤ 0.05. Evidence synthesis: Overall, 51 studies meeting our inclusion criteria were identified and considered for the analysis. Except for one prospective randomized trial, all the studies were retrospective. All the studies were found to be of intermediate quality, except for one of high quality. Most studies assessed the predictive role of the Radius-Exophytic/Endophytic-Nearness-Anterior/Posterior-Location (RENAL) and Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) scores, mostly regarding complications after nephron-sparing surgery. RENAL was an independent predictor of an on-clamp procedure (p < 0.001). Mayo Adhesive Probability score was related to adhesive perinephric fat (p = 0.005). Continuous and high-complexity RENAL scores were predictors of warm ischemia time (WIT; p = 0.006 and p < 0.001, respectively). Continuous (p < 0.001) and high-complexity (p < 0.001) PADUA scores were related to WIT. Continuous and high-complexity RENAL scores were predictors of overall complications (p = 0.002 and p < 0.001, respectively). PADUA score was related to complications both as continuous (p < 0.001) and as a categorical value (p < 0.002). The RENAL scores R = 3 (p = 0.008), E = 2 (p = 0.039), and hilar location (p = 0.006) were predictors of histological malignancy. Continuous and categorical RENAL scores were independent predictors of an estimated glomerular filtration rate (eGFR) increase (p = 0.006 and p < 0.001, respectively). The Diameter-Axial-Polar score (p = 0.018) and Peritumoral Artery Scoring System (PASS; p = 0.02) were also independent predictors. Conclusions: The literature regarding nephrometry scoring systems is sparse, and mostly focused on RENAL and PADUA, which are easy to calculate and have a good correlation with most outcomes. Renal Pelvic Score is the best predictor of pelvicalyceal entry/repair and urine leak, whereas Surgical Approach Renal Ranking and PASS strongly predict surgical approach and renal function variation, respectively. Other nephrometry scores based on mathematical models are limited by their complexity, and they lack evidence supporting their predictive value. Patient summary: We reviewed the medical literature regarding the use and value of so-called “nephrometry scores,” which are scoring systems based on radiological imaging and made to grade the complexity of a renal tumor. We analyzed whether these scoring systems can predict some of the outcomes of patients undergoing surgical removal of renal tumors. The literature on nephrometry scoring systems is sparse, and it is mostly focused on the Radius-Exophytic/Endophytic-Nearness-Anterior/Posterior-Location (RENAL) and Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) scores. The results of this study can aid in further research effort in this field and foster the development of better predictive tools

p53 acetylation is indispensable for its transcriptional activity and tumor suppressive function. However, the identity of reader protein(s) for p53 acetylation remains elusive. PBRM1, the second most highly mutated tumor suppressor gene in kidney cancer, encodes PBRM1. Here, we identify PBRM1 as a reader for p53 acetylation on lysine 382 (K382Ac) through its bromodomain 4 (BD4). Notably, mutations on key residues of BD4 disrupt recognition of p53 K382Ac. The mutation in BD4 also reduces p53 binding to promoters of target genes such as CDKN1A (p21). Consequently, the PBRM1 BD4 mutant fails to fully support p53 transcriptional activity and is defective as a tumor suppressor. We also find that expressions of PBRM1 and p21 correlate with each other in human kidney cancer samples. Our findings uncover a tumor suppressive mechanism of PBRM1 in kidney cancer and provide a mechanistic insight into the crosstalk between p53 and SWI/SNF complexes., Acetylation of p53 is critical for its transcriptional activity and its tumour suppressive function. Here, the authors show that PBRM1 is a reader protein for p53′s C-terminal domain acetylation on lysine 382 through its bromodomain 4 and that mutations in this domain leads to compromised tumour suppressive function and renal tumour growth.

Background: To explore predictors of positive surgical margins (PSM) after robotic partial nephrectomy (PN) in a large multicenter international observational project, harnessing the Surface-Intermediate-Base (SIB) margin score to report the resection technique after PN in a standardized way. Methods: Data from consecutive patients with cT1-2N0M0 renal masses treated with PN from September 2014 to March 2015 at 16 tertiary referral centers and included in the SIB margin score International Consortium were prospectively collected. For the present study, only patients treated with robotic PN were included. Uni- and multivariable analysis were fitted to explore clinical and surgical predictors of PSMs after PN. Results: Overall, 289 patients were enrolled. Median (IQR) preoperative tumor size was 3.0 (2.3–4.2) cm and median (IQR) PADUA score was 8 (7–9). SIB scores of 0–2 (enucleation), 3–4 (enucleoresection) and 5 (resection) were reported in 53.3%, 27.3% and 19.4% of cases, respectively. A PSM was recorded in 18 (6.2%) patients. PSM rate was 4.5%, 11.4% and 3.6% in case of enucleation, enucleoresection and resection, respectively. Patients with PSMs had tumors with a higher rate of contact with the urinary collecting system (55.6% vs. 27.3%; p < 0.001) and a longer median warm ischemia time (22 vs. 16 min; p = 0.02) compared with patients with negative surgical margins, while no differences emerged between the two groups in terms of other tumor features (i.e., pathological diameter, PADUA score). In multivariable analysis, only enucleoresection (SIB score 3–4) versus enucleation (SIB score 0–2) was found to be an independent predictor of PSM at final pathology (HR: 2.68; 95% CI: 1.25–7.63; p = 0.04), while resection (SIB score 5) was not. Conclusions: In our experience, enucleoresection led to a higher risk of PSMs as compared to enucleation. Further studies are needed to assess the differential impacts of resection technique and surgeon’s experience on margin status after robotic PN.

The commonly used therapeutic management of PC involves androgen deprivation therapy (ADT) followed by treatment with AR signaling inhibitors (ARSI). However, nearly all patients develop drug-resistant disease, with a median progression-free survival of less than 2 years in chemotherapy-naïve men. Acetyl-coenzyme A (acetyl-CoA) is a central metabolic signaling molecule with key roles in biosynthetic processes and cancer signaling. In signaling, acetyl-CoA serves as the acetyl donor for acetylation, a critical post-translational modification. Acetylation affects the androgen receptor (AR) both directly and indirectly increasing expression of AR dependent genes. Our studies reveal that PC cells respond to the treatment with ARSI by increasing expression of ATP-citrate lyase (ACLY), a major enzyme responsible for cytosolic acetyl-CoA synthesis, and up-regulation of acetyl-CoA intracellular levels. Inhibition of ACLY results in a significant suppression of ligand-dependent and -independent routes of AR activation. Accordingly, the addition of exogenous acetyl-CoA, or its precursor acetate, augments AR transcriptional activity and diminishes the anti-AR activity of ARSI. Taken together, our findings suggest that PC cells respond to antiandrogens by increasing activity of the acetyl-coA pathway in order to reinstate AR signaling.

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