Real-world Outcome of Patients with Advanced Renal Cell Carcinoma and Intermediate- or Poor-risk International Metastatic Renal Cell Carcinoma Database Consortium Criteria Treated by Immune-oncology Combinations: Differential Effectiveness by Risk Group?

BACKGROUND: Renal c carcinoma (RCC) is one of the most common urinary cancers worldwide, with a predicted increase in incidence in the coming years. Immunotherapy, as a single agent, in doublets, or in combination with anti-vascular endothelial growth factor receptor tyrosine kinase inhibitors (TKIs), has rapidly become a cornerstone of the RCC therapeutic scenario, but no head-to-head comparisons have been made. In this setting, real-world evidence emerges as a cornerstone to guide clinical decisions. OBJECTIVE: The objective of this retrospective study was to assess the outcome of patients treated with first-line immune combinations or immune oncology (IO)-TKIs for advanced RCC. DESIGN, SETTING, AND PARTICIPANTS: Data from 930 patients, 654 intermediate risk and 276 poor risk, were collected retrospectively from 58 centers in 20 countries. Special data such as sarcomatoid differentiation, body mass index, prior nephrectomy, and metastatic localization, in addition to biochemical data such as hemoglobin, platelets, calcium, lactate dehydrogenase, neutrophils, and radiological response by investigator's criteria, were collected. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier method. The median follow-up was calculated by the inverse Kaplan-Meier method. RESULTS AND LIMITATIONS: The median follow-up time was 18.7 mo. In the 654 intermediate-risk patients, the median OS and PFS were significantly longer in patients with the intermediate than in those with the poor International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) criteria (38.9 vs 17.3 mo, 95% confidence interval [CI] p < 0.001, and 17.3 vs 11.6 mo, 95% CI p < 0.001, respectively). In the intermediate-risk subgroup, the OS was 55.7 mo (95% CI 31.4-55.7) and 40.2 mo (95% CI 29.6-51.6) in patients treated with IO + TKI and IO + IO combinations, respectively (p = 0.047). PFS was 30.7 mo (95% CI 16.5-55.7) and 13.2 mo (95% CI 29.6-51.6) in intermediate-risk patients treated with IO + TKI and IO + IO combinations, respectively (p < 0.001). In the poor-risk subgroup, the median OS and PFS did not show a statistically significant difference between IO + IO and IO + TKI. Our study presents several limitations, mainly due to its retrospective nature. CONCLUSIONS: Our results showed differences between the IO + TKI and IO + IO combinations in intermediate-risk patients. A clear association with longer PFS and OS in favor of patients who received the IO + TKI combinations compared with the IO-IO combination was observed. Instead, in the poor-risk group, we observed no significant difference in PFS or OS between patients who received different combinations. PATIENT SUMMARY: Renal cancer is one of the most frequent genitourinary tumors. Treatment is currently based on immunotherapy combinations or immunotherapy with tyrosine kinase inhibitors, but there are no comparisons between these.In this study, we have analyzed the clinical course of 930 patients from 58 centers in 20 countries around the world. We aimed to analyze the differences between the two main treatment strategies, combination of two immunotherapies versus immunotherapy + antiangiogenic therapy, and found in real-life data that intermediate-risk patients (approximately 60% of patients with metastatic renal cancer) seem to benefit more from the combination of immunotherapy + antiangiogenic therapy than from double immunotherapy. No such differences were found in poor-risk patients. This may have important implications in daily practice decision-making for these patients.

Geographical differences in the management of metastatic de novo renal cell carcinoma in the era of immune-combinations.

BACKGROUND: The upfront treatment of metastatic renal cell carcinoma (mRCC) has been revolutionized by the introduction of immune-based combinations. The role of cytoreductive nephrectomy (CN) in these patients is still debated. The ARON-1 study (NCT05287464) was designed to globally analyze real-world data of mRCC patients receiving first-line immuno-oncology combinations. This sub-analysis is focused on the role of upfront or delayed partial or radical CN in three geographical areas (Western Europe, Eastern Europe, America/Asia). METHODS: We conducted a multicenter retrospective observational study in mRCC patients treated with first-line immune combinations from 55 centers in 19 countries. From 1152 patients in the ARON-1 dataset, we selected 651 patients with de novo mRCC. 255 patients (39%) had undergone CN, partial in 14% and radical in 86% of cases; 396 patients (61%) received first-line immune-combinations without previous nephrectomy. RESULTS: Median overall survival (OS) from the diagnosis of de novo mRCC was 41.6 months and not reached (NR) in the CN subgroup and 24.0 months in the no CN subgroup, respectively (P<0.001). Median OS from the start of first-line therapy was NR in patients who underwent CN and 22.4 months in the no CN subgroup (P<0.001). Patients who underwent CN reported longer OS compared to no CN in all the three geographical areas. CONCLUSIONS: No significant differences in terms of patients' outcome seem to clearly emerge, even if the rate CN and the choice of the type of first-line immune-based combination varies across the different Cancer Centers participating in the ARON-1 project.

Global Real-World Outcomes of Patients Receiving Immuno-Oncology Combinations for Advanced Renal Cell Carcinoma: The ARON-1 Study.

BACKGROUND: Immuno-oncology combinations have achieved survival benefits in patients with metastatic renal cell carcinoma (mRCC). OBJECTIVE: The ARON-1 study (NCT05287464) was designed to globally collect real-world data on the use of immuno-combinations as first-line therapy for mRCC patients. PATIENTS AND METHODS: Patients aged ≥ 18 years with a cytologically and/or histologically confirmed diagnosis of mRCC treated with first-line immuno-combination therapies were retrospectively included from 47 International Institutions from 16 countries. Patients were assessed for overall survival (OS), progression-free survival (PFS), and overall clinical benefit (OCB). RESULTS: A total of 729 patients were included; tumor histology was clear-cell RCC in 86% of cases; 313 patients received dual immuno-oncology (IO + IO) therapy while 416 were treated with IO-tyrosine kinase inhibitor (IO + TKI) combinations. In the overall study population, the median OS and PFS were 36.5 and 15.0 months, respectively. The median OS was longer with IO+TKI compared with IO+IO therapy in the 616 patients with intermediate/poor International mRCC Database Consortium (IMDC) risk criteria (55.7 vs 29.7 months; p = 0.045). OCB was 84% for IO+TKI and 72% for IO + IO combination (p < 0.001). CONCLUSIONS: Our study may suggest that immuno-oncology combinations are effective as first-line therapy in the mRCC real-world context, showing outcome differences between IO + IO and IO + TKI combinations in mRCC subpopulations. CLINICAL TRIAL REGISTRATION: NCT05287464.

Overall survival and toxicity of hepatocellular carcinoma Barcelona Clinic Liver Cancer B patients receiving Y90 radioembolization: analysis of the radiation-emitting SIR-spheres in non-resectable liver tumor (RESiN) registry.

Background: To evaluate overall survival (OS), progression-free survival (PFS) and toxicity after resin Yttrium-90 (Y-90) radioembolization in Barcelona Clinic Liver Cancer B (BCLC B) hepatocellular carcinoma (HCC) patients using the Bolondi subgroup classification. Methods: A total of 144 BCLC B patients were treated between 2015-2020. Patients were broken into 4 subgroups by tumor burden/liver function tests with 54, 59, 8 and 23 in subgroups 1, 2, 3 and 4. OS and PFS were calculated with Kaplan-Meier analysis with 95% confidence intervals. Toxicities were assessed using Common Terminology Criteria for Adverse Events (CTCAE) v5. Results: Prior resection and chemoembolization were performed in 19 (13%) and 34 (24%) of patients. There were no deaths within 30 days. Median OS and PFS for the cohort were 21.5 and 12.4 months. Median OS was not reached for subgroup 1 at a mean 28.8 months, and was 24.9, 11.0 and 14.6 months for subgroups 2-4 (χ2=19.8, P=0.0002). PFS by BCLC B subgroup was 13.8, 12.4, 4.5, and 6.6 months (χ2=16.8, P=0.0008). The most common Grade 3 or 4 toxicities were elevated bilirubin (n=16, 13.3%) and decreased albumin (n=15, 12.5%). Grade 3 or greater bilirubin (32% vs. 10%, P=0.03) and albumin (26% vs. 10%, P=0.03) toxicity were more common in the subgroup 4 patients. Conclusions: The Bolondi subgroup classification stratifies OS, PFS and development of toxicity in patients treated with resin Y-90 microspheres. OS in subgroup 1 approaches 2.5 years and Grade 3 or greater hepatic toxicity profile in subgroups 1-3 is low.

Clinico-Pathological Features Influencing the Prognostic Role of Body Mass Index in Patients With Advanced Renal Cell Carcinoma Treated by Immuno-Oncology Combinations (ARON-1).

BACKGROUND: Obesity has been associated with improved response to immunotherapy in cancer patients. We investigated the role of body mass index (BMI) in patients from the ARON-1 study (NCT05287464) treated by dual immuno-oncology agents (IO+IO) or a combination of immuno-oncology drug and a tyrosine kinase inhibitors (TKI) as first-line therapy for metastatic renal cell carcinoma (mRCC). PATIENTS AND METHODS: Medical records of patients with documented mRCC treated by immuno-oncology combinations were reviewed at 47 institutions from 16 countries. Patients were assessed for overall survival (OS), progression-free survival (OS), and overall clinical benefit (OCB), defined as the sum of the rate of partial/complete responses and stable disease. Univariate and multivariate analyses were used to explore the association of variables of interest with survival. RESULTS: A total of 675 patients were included; BMI was >25 kg/m2 in 345 patients (51%) and was associated with improved OS (55.7 vs. 28.4 months, P < .001). The OCB of patients with BMI >25 kg/m2 versus those with BMI ≤25 kg/m2 was significantly higher only in patients with nonclear cell histology (81% vs. 65%, P = .011), and patients with liver metastases (76% vs. 58%, P = .007), Neutrophil to lymphocyte ratio >4 (77% vs 62%, P = .022) or treated by nivolumab plus ipilimumab (77% vs. 64%, P = .044). In the BMI ≤25 kg/m2 subgroup, significant differences were found between patients with NLR >4 versus ≤4 (62% vs. 82%, P = .002) and patients treated by IO+IO versus IO+TKIs combinations (64% vs. 83%, P = .002). CONCLUSION: Our study suggests that the prognostic significance and the association of BMI with treatment outcome varies across clinico-pathological mRCC subgroups.

Development and validation of an integrative pan-solid tumor predictor of PD-1/PD-L1 blockade benefit.

BACKGROUND: Anti-PD-1 and PD-L1 (collectively PD-[L]1) therapies are approved for many advanced solid tumors. Biomarkers beyond PD-L1 immunohistochemistry, microsatellite instability, and tumor mutation burden (TMB) may improve benefit prediction. METHODS: Using treatment data and genomic and transcriptomic tumor tissue profiling from an observational trial (NCT03061305), we developed Immunotherapy Response Score (IRS), a pan-tumor predictive model of PD-(L)1 benefit. IRS real-world progression free survival (rwPFS) and overall survival (OS) prediction was validated in an independent cohort of trial patients. RESULTS: Here, by Cox modeling, we develop IRS-which combines TMB with CD274, PDCD1, ADAM12 and TOP2A quantitative expression-to predict pembrolizumab rwPFS (648 patients; 26 tumor types; IRS-High or -Low groups). In the 248 patient validation cohort (248 patients; 24 tumor types; non-pembrolizumab PD-[L]1 monotherapy treatment), median rwPFS and OS are significantly longer in IRS-High vs. IRS-Low patients (rwPFS adjusted hazard ratio [aHR] 0.52, p = 0.003; OS aHR 0.49, p = 0.005); TMB alone does not significantly predict PD-(L)1 rwPFS nor OS. In 146 patients treated with systemic therapy prior to pembrolizumab monotherapy, pembrolizumab rwPFS is only significantly longer than immediately preceding therapy rwPFS in IRS-High patients (interaction test p = 0.001). In propensity matched lung cancer patients treated with first-line pembrolizumab monotherapy or pembrolizumab+chemotherapy, monotherapy rwPFS is significantly shorter in IRS-Low patients, but is not significantly different in IRS-High patients. Across 24,463 molecularly-evaluable trial patients, 7.6% of patients outside of monotherapy PD-(L)1 approved tumor types are IRS-High/TMB-Low. CONCLUSIONS: The validated, predictive, pan-tumor IRS model can expand PD-(L)1 monotherapy benefit outside currently approved indications.

Therapies activating the immune system (checkpoint inhibitors) have revolutionized the treatment of patients with advanced cancer, however new molecular tests may better identify patients who could benefit. Using treatment data and clinical molecular test results, we report the development and validation of Immunotherapy Response Score (IRS) to predict checkpoint inhibitor benefit. Across patients with more than 20 advanced cancer types, IRS better predicted checkpoint inhibitor benefit than currently available tests. Data from >20,000 patients showed that IRS identifies ~8% of patients with advanced cancer who may dramatically benefit from checkpoint inhibitors but would not receive them today based on currently available tests. Our approach may help clinicians to decide which patients should receive checkpoint inhibitors to treat their disease.

Overall survival and toxicity of Y90 radioembolization for hepatocellular carcinoma patients in Barcelona Clinic Liver Cancer stage C (BCLC-C).

INTRODUCTION: National Comprehensive Cancer Network HCC guidelines recommend Y90 to treat BCLC-C patients only in select cases given the development of systemic regimens. We sought to identify ideal candidates for Y90 by assessing survival and toxicities in this patient group. MATERIALS AND METHODS: The Radiation-Emitting Selective Internal radiation spheres in Non-resectable tumor registry is a prospective observational study (NCT: 02,685,631). Patients with advanced HCC were stratified into 3 groups based on tumor location, Eastern Cooperative Oncology Group (ECOG) performance status, and liver function. Group 1: liver isolated HCC, ECOG 0 and Child Pugh (CP) A (n = 12, 16%), Group 2: liver isolated HCC, ECOG ≥ 1 or CP B/C (n = 37, 49%), and Group 3: extrahepatic HCC with any ECOG or CP score (n = 26, 35%). Patients in any group could have macrovascular invasion. Overall survival (OS) and progression-free survival (PFS) with 95% confidence intervals (95% CI) were calculated. Grade 3 + toxicities were tracked using Common Terminology Criteria for Adverse Events v5. Cox proportional hazard model was performed to determine factors affecting OS. RESULTS: Seventy-five BCLC-C patients treated between 2015 and 2019 were reviewed. The groups were similar in age, sex, race, and ethnicity (all p > 0.05). Bilobar disease was least common in Group 1 (p < 0.001). Median OS of the entire cohort was 13.6 (95% CI 7.5-16.1) months. Median OS of Groups 1-3 were 21.8, 13.1 and 11.5 months respectively (p = 0.6). Median PFS for the cohort was 6.3 (4.8-14.7) months. Median PFS for group 1 was not reached. Mean PFS for Group 1 was 17.3 ± 4.8 months. Median PFS for Groups 2 and 3 was 6.8 and 5.9 months (X2 = 1.5, p = 0.5). Twenty-four Grade 3 or greater toxicities developed, most commonly hyperbilirubinemia (8/75, 11%) and thrombocytopenia (2/75, 3%). The incidence of toxicities between groups was similar (all p > 0.05). Cox Proportional Hazard analysis predicted shorter OS with CP class B/C (X2 = 6.7, p = 0.01), while macrovascular invasion (X2 = 0.5, p = 0.5) and ECOG score of ≥ 1 (X2 = 2.1, p = 0.3) was not associated with OS. CONCLUSIONS: OS of CPA patients with advanced HCC and performance status of 0 was 21.8 months following Y90. CP A cirrhosis is the best predictor of prolonged OS in advanced (BCLC-C) HCC.

Concomitant Use of Statins, Metformin, or Proton Pump Inhibitors in Patients with Advanced Renal Cell Carcinoma Treated with First-Line Combination Therapies.

BACKGROUND: Drug-drug interactions are a major concern in oncology and may potentially affect the outcome of patients with cancer. OBJECTIVE: In this study, we aimed to determine whether the concomitant use of statins, metformin, or proton pump inhibitors affects survival in patients with metastatic renal cell carcinoma treated with first-line combination therapies. METHODS: Medical records of patients with documented metastatic renal cell carcinoma between January 2016 and November 2021 were reviewed at 17 participating centers. This research was conducted in ten institutions, including both referral centers and local hospitals. Patients were assessed for overall survival, progression-free survival, and overall clinical benefit. Univariate and multivariate analyses were conducted to explore the association of variables of interest with overall survival and progression-free survival. RESULTS: A total of 304 patients receiving dual immunotherapy (51%) or immunotherapy/vascular endothelial growth factor-tyrosine kinase inhibitor (49%) combinations were eligible for inclusion in this retrospective study. Statin use was a significant prognostic factor for longer overall survival in a univariate analysis (hazard ratio 0.48, 95% confidence interval 0.26-0.87; p = 0.016) and a multivariate analysis (hazard ratio 0.48, 95% confidence interval 0.31-0.74; p < 0.001) and was significantly associated with an overall clinical benefit (83% in statin users vs 71% in non-users; p = 0.045). Otherwise, the use of metformin or proton pump inhibitors did not affect the outcome of these patients. CONCLUSIONS: Our study suggests a prognostic impact of statin use in patients receiving first-line immuno-oncology combinations. The mechanism of this interaction warrants further elucidation.

Statin use improves the efficacy of nivolumab in patients with advanced renal cell carcinoma.

BACKGROUND: Statins are widely used in an ageing population, including subjects with solid malignancies. However, no conclusive evidence is currently available on their potential influence on patients' outcome. We aimed to assess whether statin exposure affects the survival of patients with metastatic renal cell carcinoma (mRCC) treated with nivolumab. PATIENTS AND METHODS: Medical records of patients with documented mRCC treated with second- or third-line nivolumab were reviewed at ten institutions from Italy, Spain and the USA. Patients were assessed for overall survival (OS), progression-free survival (PFS), and overall clinical benefit. Univariate and multivariate analyses were used to explore the association of variables of interest with survival. RESULTS: A total of 219 patients with mRCC receiving nivolumab between January 2016 and September 2021 were eligible for inclusion in this study; 59 (27%) were statin users. The median OS (34.4 versus 18.6 months, p = 0.017) and PFS (11.7 versus 4.6 months, p = 0.013) resulted apparently longer in statin users. Stratified by age, longer median OS and PFS were associated with statin exposure in both patients aged ≥70 y (median OS: 21.4 versus 10.1 months, p = 0.047; median PFS: 16.4 versus 4.6 months, p = 0.022) and <70 y (median OS: 34.4 versus 21.4 months, p = 0.043; median PFS: 10.3 versus 4.6 months, p = 0.042). Overall clinical benefit resulted higher in statin users than non-users (71% versus 54%, p = 0.030). CONCLUSIONS: Our study suggests a prognostic impact of statin use in patients receiving nivolumab for mRCC.

Nivolumab VERSUS Cabozantinib as Second-Line Therapy in Patients With Advanced Renal Cell Carcinoma: A Real-World Comparison.

BACKGROUND: Tyrosine-kinase inhibitors (TKIs) still represent a first-line option for selected patients with metastatic Renal Cell Carcinoma (mRCC). We aimed to compare the real-world efficacy of nivolumab or cabozantinib as second-line therapy in specific mRCC subpopulations. PATIENTS AND METHODS: We retrospectively collected data from 11 centers from Italy, Spain and US. Overall Survival (OS) and Progression-Free Survival (PFS) were analyzed using Kaplan-Meier curves. Cox proportional models were used at univariate and multivariate analyses. RESULTS: We collected data from 343 patients with mRCC, 123 (36%) treated with cabozantinib and 220 (64%) with nivolumab. The median OS resulted longer, but not statistically significant, with nivolumab in patients aged >70 years (21.4 vs. 15.4 months, P = .746), treated with first-line pazopanib (26.8 vs. 11.6 months, P = .450), or with good (47.0 vs. 15.5 months, P = .285) or intermediate-risk criteria (14.4 vs. 11.0 months, P = .357), while it was longer, but even not statistically significant, for cabozantinib in patients who received previous sunitinib (25.7 vs. 21.7 months, P = .638) or with bone metastases (28.4 vs. 24.4 months, P = .871). The median PFS was significantly longer with cabozantinib in patients with clear cell histology (7.8 vs. 5.4 months, P = .026) and in patients with good risk features (12.3 vs. 5.7 months, P = .022). CONCLUSIONS: Nivolumab and cabozantinib resulted active in mRCC patients, showing distinct results when stratified into clinico-pathological features.

Cabozantinib in Patients with Advanced Renal Cell Carcinoma Primary Refractory to First-line Immunocombinations or Tyrosine Kinase Inhibitors.

BACKGROUND: A subset of patients with metastatic renal cell carcinoma (mRCC), deemed as primary refractory, shows progressive disease as the best response to first-line therapy even when treated with novel immune-based combos. OBJECTIVE: We aimed to assess the outcome of patients treated with second-line cabozantinib for mRCC primary refractory to first-line therapy defined as Response Evaluation Criteria in Solid Tumors (RECIST) progression in the computed tomography scan as the best response to the upfront treatment. DESIGN, SETTING, AND PARTICIPANTS: We retrospectively collected data from 11 worldwide centers. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Overall survival (OS) and progression-free survival (PFS) were analyzed using Kaplan-Meier curves. Cox proportional models were used at univariate and multivariate analyses. RESULTS AND LIMITATIONS: We collected data from 108 patients with mRCC primary refractory to pembrolizumab plus axitinib (17%), nivolumab plus ipilimumab (36%), or tyrosine kinase inhibitors (TKIs; 31% sunitinib and 16% pazopanib). The median OS with cabozantinib was 9.11 mo, and it was 8.84 and 9.11 mo in patients primary refractory to immunocombinations and TKIs, respectively (p = 0.952). A significant difference was found between patients primary refractory to pembrolizumab plus axitinib (OS not reached) and those primary refractory to nivolumab plus ipilimumab (median OS 8.12 mo, p = 0.024). The median PFS with cabozantinib was 7.30 mo, without significant differences between patients primary refractory to immunocombinations and those primary refractory to TKIs (6.90 vs 7.59 mo, p = 0.435) or between patients primary refractory to pembrolizumab plus axitinib and those primary refractory to nivolumab plus ipilimumab (7.92 and 6.02, p = 0.509). Investigator-assessed overall response rates were 21% and 12% in patients primary refractory to first-line immunocombinations and TKIs, respectively, with a clinical benefit of 48% in the overall population. CONCLUSIONS: Our data show that cabozantinib is active in primary refractory mRCC patients regardless of which treatment is received as first-line therapy. Systemic options and prognosis of primary refractory patients with mRCC, particularly those treated with novel immune-based combos, are among the major challenges that we need to face in this field. PATIENT SUMMARY: Patients primary refractory to first-line therapy are characterized by a poor prognosis. Herein, we aimed to assess the outcome of patients treated with second-line cabozantinib for metastatic renal cell carcinoma (mRCC) primary refractory to first-line therapy. Our results suggest that cabozantinib is active in primary refractory mRCC patients.

The impact of gender on The efficacy of immune checkpoint inhibitors in cancer patients: The MOUSEION-01 study.

The primary endpoint of MOUSEION-01 was to assess overall survival (OS) in male and female patients receiving immune checkpoint inhibitors versus control treatments, calculating the pooled OS Hazard Ratio (HR) and 95 % Confidence Interval (CI) in both groups. 37 randomized phase III studies and 22646 patients (16382 men and 6264 women) were included. In patients treated with immunotherapy (as monotherapy or in combination with other agents), the pooled OS HR was 0.78 (0.75-0.82) and 0.77 (95 % CI, 0.72-0.83) in male and female subjects, respectively. The pooled HR for OS in male patients treated with single-agent immunotherapy versus control was 0.77 (95 % CI, 0.70-0.85), while this benefit was smaller in female patients (HR, 0.81; 95 % CI, 0.73-0.9). Our findings highlight that high-quality trials accounting for potential confounders are needed before being able to suggest a real effect of the patient's gender on immune checkpoint inhibitors efficacy in different settings.

Concomitant Proton Pump Inhibitors and Outcome of Patients Treated with Nivolumab Alone or Plus Ipilimumab for Advanced Renal Cell Carcinoma.

BACKGROUND: Immune checkpoint inhibitors (ICIs) represent the standard of care as first- or second-line treatment in patients with renal cell carcinoma (RCC). Proton pump inhibitors (PPIs) are among the most prescribed drugs worldwide and are known to affect gut microbiota, which is gaining interest in its association with outcomes for patients on ICIs. OBJECTIVE: The aim of this study was to evaluate the impact of PPIs on outcomes in RCC patients receiving immunotherapy. PATIENTS AND METHODS: We retrospectively collected data from patients with metastatic RCC who received the combination of ipilimumab and nivolumab for first-line treatment (Cohort 1) or single-agent nivolumab for second-line or third-line treatment (Cohort 2) from five international centers with expertise in the treatment of RCC. Data about clinicopathological characteristics, PPI use, and outcome on ICIs were collected. Endpoints of the study were objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). RESULTS: Two hundred and eighteen patients (71% male, median age 61 years) were included in the analysis, 62 in Cohort 1 (including 25 patients receiving PPIs) and 156 in Cohort 2 (including 88 patients receiving PPIs), and were followed up for a median of 42 months. In Cohort 1, no difference was observed in ORR (48% vs 57%; p = 0.203), PFS (12.2 vs 8.5 months; p = 0.928), or OS (not reached [NR] vs 27.3 months; p = 0.84). In Cohort 2, no difference was observed in ORR (32% vs 28%; p = 0.538), PFS (6.7 vs 9.0 months; p = 0.799), or OS (16.0 vs 26.0 months; p = 0.324). CONCLUSIONS: In patients with RCC, concomitant PPI use did not seem to affect survival outcomes on ICIs, either as combination therapy or monotherapy.

Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples.

PURPOSE: Tissue-based comprehensive genomic profiling (CGP) is increasingly used for treatment selection in patients with advanced cancer; however, tissue availability may limit widespread implementation. Here, we established real-world CGP tissue availability and assessed CGP performance on consecutively received samples. MATERIALS AND METHODS: We conducted a post hoc, nonprespecified analysis of 32,048 consecutive tumor tissue samples received for StrataNGS, a multiplex polymerase chain reaction (PCR)-based comprehensive genomic profiling (PCR-CGP) test, as part of an ongoing observational trial (NCT03061305). Sample characteristics and PCR-CGP performance were assessed across all tested samples, including exception samples not meeting minimum input quality control (QC) requirements (< 20% tumor content [TC], < 2 mm2 tumor surface area [TSA], DNA or RNA yield < 1 ng/µL, or specimen age > 5 years). Tests reporting ≥ 1 prioritized alteration or meeting TC and sequencing QC were considered successful. For prostate carcinoma and lung adenocarcinoma, tests reporting ≥ 1 actionable or informative alteration or meeting TC and sequencing QC were considered actionable. RESULTS: Among 31,165 (97.2%) samples where PCR-CGP was attempted, 10.7% had < 20% TC and 59.2% were small (< 25 mm2 tumor surface area). Of 31,101 samples evaluable for input requirements, 8,089 (26.0%) were exceptions not meeting requirements. However, 94.2% of the 31,101 tested samples were successfully reported, including 80.5% of exception samples. Positive predictive value of PCR-CGP for ERBB2 amplification in exceptions and/or sequencing QC-failure breast cancer samples was 96.7%. Importantly, 84.0% of tested prostate carcinomas and 87.9% of lung adenocarcinomas yielded results informing treatment selection. CONCLUSION: Most real-world tissue samples from patients with advanced cancer desiring CGP are limited, requiring optimized CGP approaches to produce meaningful results. An optimized PCR-CGP test, coupled with an inclusive exception testing policy, delivered reportable results for > 94% of samples, potentially expanding the proportion of CGP-testable patients and impact of biomarker-guided therapies.

Cabozantinib in Pretreated Patients with Metastatic Renal Cell Carcinoma with Sarcomatoid Differentiation: A Real-World Study.

BACKGROUND: Renal cell carcinoma with sarcomatoid differentiation is a highly aggressive form of kidney cancer. OBJECTIVE: We aimed to analyze the outcomes of patients treated with cabozantinib for metastatic renal cell carcinoma with sarcomatoid features. METHODS: We retrospectively collected data from 16 worldwide centers. Overall survival and progression-free survival were analyzed using Kaplan-Meier curves. Cox proportional models were used for univariate and multivariate analyses. RESULTS: We collected data from 66 patients with metastatic sarcomatoid renal cell carcinoma receiving cabozantinib as second-line (51%) or third-line (49%) therapy. The median progression-free survival from the start of cabozantinib was 7.59 months (95% confidence interval [CI] 5.75-17.49) and was longer in male patients (8.81 vs 5.95 months, p = 0.042) and in patients without bone metastases (7.59 vs 5.11 months, p = 0.010); the median overall survival was 9.11 months (95% CI 7.13-23.80). At the multivariate analysis, female sex (hazard ratio = 1.81; 95% CI 1.02-3.37, p = 0.046), bone metastases (hazard ratio = 2.62; 95% CI 1.34-5.10, p = 0.005), and International Metastatic Renal Cell Carcinoma Database Consortium criteria (hazard ratio = 3.04; 95% CI 1.54-5.99, p = 0.001) were significant predictors of worse overall survival. CONCLUSIONS: Our data show that cabozantinib is active in pretreated patients with sarcomatoid renal cell carcinoma. Biomarkers are needed in this field to select patients for multi-kinase inhibitors or other options.

Timing of steroid initiation and response rates to immune checkpoint inhibitors in metastatic cancer.

BACKGROUND: Corticosteroids (CS) are the mainstay of immune-related adverse effect (irAE) management, as well as for other indications in cancer treatment. Previous studies evaluating whether CS affect immune checkpoint inhibitor (CPI) efficacy compared patients receiving CS versus no CS. However, there is a paucity of clinical data evaluating the timing of concomitant CS and CPI efficacy. METHODS: We retrospectively collected data from patients who received CS during CPI treatment at a single institution. Patients were in two cohorts based on timing of initiation of CS (≥2 months vs <2 months after initiating CPI). Patient characteristics, irAEs, cancer type, treatment type, treatment response/progression per RECIST V.1.1, and survival data were collected. Kaplan-Meier and Cox proportional hazard regression methods estimated HRs for the primary endpoint of progression-free survival (PFS) along with overall survival (OS). RESULTS: We identified 247 patients with metastatic cancer who received CS concurrently with CPIs. The median time on CS was 1.8 months. After adjusting for treatment type, tumor type, brain metastases, and irAEs, those treated with CS ≥2 months after starting CPI had a statistically significant longer PFS (HR=0.30, p<0.001), and OS (HR 0.34, p<0.0001) than those who received CS <2 months after starting CPI. Objective response rate (ORR) for patients on CS ≥2 months was 39.8%, versus ORR for patients <2 months was 14.7% (p value =<0.001) CONCLUSION: Our results suggest that early use of CS during CPI treatment significantly hinders CPI efficacy. This data needs to be validated prospectively. Future studies should focus on the immune mechanisms by which CSs affect T-cell function early in the CPI treatment course.

Body Mass Index in Patients Treated with Cabozantinib for Advanced Renal Cell Carcinoma: A New Prognostic Factor?

We analyzed the clinical and pathological features of renal cell carcinoma (RCC) patients treated with cabozantinib stratified by body mass index (BMI). We retrospectively collected data from 16 worldwide centers involved in the treatment of RCC. Overall survival (OS) and progression-free survival (PFS) were analyzed using Kaplan-Meier curves. Cox proportional models were used at univariate and multivariate analyses. We collected data from 224 patients with advanced RCC receiving cabozantinib as second- (113, 5%) or third-line (111, 5%) therapy. The median PFS was significantly higher in patients with BMI ≥ 25 (9.9 vs. 7.6 months, p < 0.001). The median OS was higher in the BMI ≥ 25 subgroup (30.7 vs. 11.0 months, p = 0.003). As third-line therapy, both median PFS (9.2 months vs. 3.9 months, p = 0.029) and OS (39.4 months vs. 11.5 months, p = 0.039) were longer in patients with BMI ≥ 25. BMI was a significant predictor for both PFS and OS at multivariate analysis. We showed that a BMI ≥ 25 correlates with longer survival in patients receiving cabozantinib. BMI can be easily assessed and should be included in current prognostic criteria for advanced RCC.

Artificial Neural Networks as a Way to Predict Future Kidney Cancer Incidence in the United States.

INTRODUCTION: The incidence of kidney cancer is increasing; it could be counteracted with new ways to predict and detect it. We aimed to implement an artificial neural network in order to predict new cases of renal-cell carcinoma (RCC) in the population using population rate, obesity, smoking incidence, uncontrolled hypertension, and life expectancy data in the United States. PATIENTS AND METHODS: Statistics were collected on US population numbers, life expectancy, obesity, smoking, and hypertension. We used MATLAB R2018 (MathWorks) software to implement an artificial neural network. Data were repeatedly and randomly divided into training (70%) and validation (30%) subsets. RESULTS: The number of new RCC cases will grow from 44,400 (2020) to 55,400 (2050), an increase of +24.7%. Our data show that preventing hypertension would have the greatest impact on reduction of the incidence, estimated at -775 and -575 cases per year in 2020 and in 2030, respectively. The prevention of obesity and smoking would have a more limited impact, estimated at -64 and -180 cases per year in 2020 and in 2030, respectively, for obesity, and -173 and -21 cases per year in 2020 and in 2030, respectively, for smoking. CONCLUSIONS: Our predictions underline the need for accurate studies on RCC-related risk factors to reduce the incidence.

A Contemporary Analysis of the 30-day Morbidity and Mortality Associated With Cytoreductive Nephrectomy.

OBJECTIVE: To examine the rates of adverse surgical outcomes in patients undergoing cytoreductive nephrectomy (CN) compared to patients undergoing radical nephrectomy in the nonmetastatic setting using a large administrative database. METHODS: Patients in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) who underwent a radical nephrectomy between 2011 and 2016 were included. Patients were stratified by the preoperative variable of presence or absence of metastatic cancer. Perioperative outcomes were compared. A multivariable logistic regression analysis was performed to test the association between patients with metastatic cancer and perioperative morbidity and 30-day mortality. RESULTS: There were 15,869 total patients included in this analysis of whom 1322 (8%) patients had metastatic cancer. Of the entire cohort, the majority of patients were over 60 years old (58%) and 9621 (61%) were male. Seventy-three of the patients were Caucasian. Patients with metastatic cancer had more minor (P< .01) and major (P< .01) complications, a higher rate of reoperation (P< .01), and a higher rate of unplanned readmissions (P< .01). Finally, the cohort with metastatic cancer had a higher rate of postoperative 30-day mortality (P< .01) than patients without metastatic cancer. CONCLUSION: Patients undergoing a CN have significantly worse perioperative outcomes than patients undergoing a radical nephrectomy without evidence of metastases. Careful surgical risk stratification and appropriate patient counseling should be undertaken when selecting candidates for CN.

Precision Medicine and the Institutional Review Board: Ethics and the Genome.

Background: Clinical research studies often integrate precision medicine technologies and techniques, offering novel treatment opportunities for patients but also posing significant challenges for regulatory authorities and local institutional review boards (IRBs) as they attempt to protect patient safety and privacy. Methods: We review the basics of precision medicine and discuss how IRBs are addressing new challenges associated with the era of precision medicine. Results: Precision medicine trials rely on genomic testing for inclusion criteria and investigational drug therapy choices. The vast amounts of complex information that can be obtained from basic genetic sequencing tests must be stored, analyzed, and interpreted, creating challenges for clinicians, researchers, and regulatory staff who are concerned with complex ethical, security, and legal issues surrounding patients' personal genetic data in the digital age. All members of the IRB face a rapidly changing environment. The traditional areas of primary concern, such as patient privacy, terminology, and financial benefits, have been joined by issues associated with precision medicine, such as accelerated US Food and Drug Administration drug approval, multiple informed consent form modifications, increasing length and complexity of informed consent forms, and participant genetic privacy. The challenge to the IRB is to remain focused on the prior areas of significance while also adapting the evaluation process to the novel science of precision medicine. Conclusion: In this era of exponentially increasing big data and easy-to-access genetic sequencing data, IRBs will be tasked with adapting their processes and adjusting to the new technology and its corresponding complexities. Such adaptation has always been required of IRBs, but now it will need to occur rapidly as technology and data analysis capabilities accelerate.