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PURPOSE Both immune checkpoint inhibitors (ICIs) and vascular endothelial growth factor receptor (VEGFR) inhibitors are approved for advanced renal cell carcinoma treatment and can cause cardiovascular events (CVs); thus, combination therapy could lead to major adverse CV events (MACE). Cardiac serum biomarker assessment and imaging, including left ventricular ejection fraction (LVEF) monitoring, can be used to evaluate MACE. METHODS To our knowledge, the JAVELIN Renal 101 trial, assessing avelumab plus axitinib versus sunitinib in patients with advanced renal cell carcinoma, is the first randomized study of ICI plus VEGFR inhibitor treatment to include prospective serial cardiac monitoring of LVEF and serum cardiac biomarkers. RESULTS MACE (defined as grade ≥ 3 CV AEs) occurred in 31 patients (7.1%) in the combination arm and 17 patients (3.9%) in the sunitinib arm. Patients in the combination arm who had high baseline troponin T values were at higher risk of MACE versus patients with low values (MACE in 6/35 v 7/135, respectively; relative risk, 3.31; 95% CI, 1.19 to 9.22). This association was not observed in patients treated with sunitinib. Other CV baseline risk factors and serum cardiac biomarkers were not significantly predictive for MACE, although a trend toward an association with dyslipidemia was seen in the combination arm. No clinical value of on-treatment routine monitoring of LVEF in relation to MACE was observed. Although LVEF decline was significantly more frequent in the combination arm, most patients recovered, and decline was not associated with other significant cardiac events or symptoms. CONCLUSION Patients with high baseline troponin T levels receiving ICI and VEGFR combinations may need to be monitored more closely for MACE. Routine monitoring of LVEF in asymptomatic patients is not recommended.

H&E staining of CT26 and CT26IL1b

Myeloid-derived suppressor cells (MDSC) are induced by and accumulate within many histologically distinct solid tumors, where they promote disease by secreting angiogenic and immunosuppressive molecules. Although IL1β can drive the generation, accumulation, and functional capacity of MDSCs, the specific IL1β-induced inflammatory mediators contributing to these activities remain incompletely defined. Here, we identified IL1β-induced molecules that expand, mobilize, and modulate the accumulation and angiogenic and immunosuppressive potencies of polymorphonuclear (PMN)-MDSCs. Unlike parental CT26 tumors, which recruited primarily monocytic (M)-MDSCs by constitutively expressing GM-CSF– and CCR2-directed chemokines, IL1β-transfected CT26 produced higher G-CSF, multiple CXC chemokines, and vascular adhesion molecules required for mediating infiltration of PMN-MDSCs with increased angiogenic and immunosuppressive properties. Conversely, CT26 tumors transfected with IL1β-inducible molecules could mobilize PMN-MDSCs, but because they lacked the ability to upregulate IL1β-inducible CXCR2-directed chemokines or vascular adhesion molecules, additional PMN-MDSCs could not infiltrate tumors. IL1β-expressing CT26 increased angiogenic and immunosuppressive factors of tumor-infiltrating MDSCs, as did CT26 tumors individually transfected with G-CSF, Bv8, CXCL1, or CXCL5, demonstrating that mediators downstream of IL1β could also modulate MDSC functional activity. Translational relevance was indicated by the finding that the same growth factors, cytokines, chemokines, and adhesion molecules responsible for the mobilization and recruitment of PMN-MDSCs into inflammatory CT26 murine tumors were also coordinately upregulated with increasing IL1β expression in human renal cell carcinoma tumors. These studies demonstrated that IL1β stimulated the components of a multifaceted inflammatory program that produces, mobilizes, chemoattracts, activates, and mediates the infiltration of PMN-MDSCs into inflammatory tumors to promote tumor progression.

Supplementary Table S1

Supplementary Figures 2-4

Among 2,186 U.S. adults with invasive cancer and laboratory-confirmed SARS-CoV-2 infection, we examined the association of COVID-19 treatments with 30-day all-cause mortality and factors associated with treatment. Logistic regression with multiple adjustments (e.g., comorbidities, cancer status, baseline COVID-19 severity) was performed. Hydroxychloroquine with any other drug was associated with increased mortality versus treatment with any COVID-19 treatment other than hydroxychloroquine or untreated controls; this association was not present with hydroxychloroquine alone. Remdesivir had numerically reduced mortality versus untreated controls that did not reach statistical significance. Baseline COVID-19 severity was strongly associated with receipt of any treatment. Black patients were approximately half as likely to receive remdesivir as white patients. Although observational studies can be limited by potential unmeasured confounding, our findings add to the emerging understanding of patterns of care for patients with cancer and COVID-19 and support evaluation of emerging treatments through inclusive prospective controlled trials.Significance:Evaluating the potential role of COVID-19 treatments in patients with cancer in a large observational study, there was no statistically significant 30-day all-cause mortality benefit with hydroxychloroquine or high-dose corticosteroids alone or in combination; remdesivir showed potential benefit. Treatment receipt reflects clinical decision-making and suggests disparities in medication access.This article is highlighted in the In This Issue feature, p. 1426

Adenosine mediates immunosuppression within the tumor microenvironment through triggering adenosine 2A receptors (A2AR) on immune cells. To determine whether this pathway could be targeted as an immunotherapy, we performed a phase I clinical trial with a small-molecule A2AR antagonist. We find that this molecule can safely block adenosine signaling in vivo. In a cohort of 68 patients with renal cell cancer (RCC), we also observe clinical responses alone and in combination with an anti–PD-L1 antibody, including subjects who had progressed on PD-1/PD-L1 inhibitors. Durable clinical benefit is associated with increased recruitment of CD8+ T cells into the tumor. Treatment can also broaden the circulating T-cell repertoire. Clinical responses are associated with an adenosine-regulated gene-expression signature in pretreatment tumor biopsies. A2AR signaling, therefore, represents a targetable immune checkpoint distinct from PD-1/PD-L1 that restricts antitumor immunity.Significance:This first-in-human study of an A2AR antagonist for cancer treatment establishes the safety and feasibility of targeting this pathway by demonstrating antitumor activity with single-agent and anti–PD-L1 combination therapy in patients with refractory RCC. Responding patients possess an adenosine-regulated gene-expression signature in pretreatment tumor biopsies.See related commentary by Sitkovsky, p. 16.This article is highlighted in the In This Issue feature, p. 1

Supplemental Appendix

Supplemental tables, figures, and list of participants

Purpose: Immune dysfunction reported in renal cell carcinoma (RCC) patients may contribute to tumor progression. Myeloid-derived suppressor cells (MDSC) represent one mechanism by which tumors induce T-cell suppression. Several factors pivotal to the accumulation of MDSC are targeted by the tyrosine kinase inhibitor, sunitinib. The effect of sunitinib on MDSC-mediated immunosuppression in RCC patients has been investigated.Experimental Design: Patient peripheral blood levels of MDSC and regulatory T-cell (Treg) and T-cell production of IFN-γ were evaluated before and after sunitinib treatment. Correlations between MDSC and Treg normalization as well as T-cell production of IFN-γ were examined. The in vitro effect of sunitinib on patient MDSC was evaluated.Results: Metastatic RCC patients had elevated levels of CD33+HLA-DR− and CD15+CD14− MDSC, and these were partially overlapping populations. Treatment with sunitinib resulted in significant reduction in MDSC measured by several criteria. Sunitinib-mediated reduction in MDSC was correlated with reversal of type 1 T-cell suppression, an effect that could be reproduced by the depletion of MDSC in vitro. MDSC reduction in response to sunitinib correlated with a reversal of CD3+CD4+CD25hiFoxp3+ Treg cell elevation. No correlation existed between a change in tumor burden and a change in MDSC, Treg, or T-cell production of IFN-γ. In vitro addition of sunitinib reduced MDSC viability and suppressive effect when used at ≥1.0 μg/mL. Sunitinib did not induce MDSC maturation in vitro.Conclusions: Sunitinib-based therapy has the potential to modulate antitumor immunity by reversing MDSC-mediated tumor-induced immunosuppression.

Supplementary Data from Predictive Biomarkers of Overall Survival in Patients with Metastatic Renal Cell Carcinoma Treated with IFNα ± Bevacizumab: Results from CALGB 90206 (Alliance)

Purpose:The heterodimeric transcription factor HIF-2 is arguably the most important driver of clear cell renal cell carcinoma (ccRCC). Although considered undruggable, structural analyses at the University of Texas Southwestern Medical Center (UTSW, Dallas, TX) identified a vulnerability in the α subunit, which heterodimerizes with HIF1β, ultimately leading to the development of PT2385, a first-in-class inhibitor. PT2385 was safe and active in a first-in-human phase I clinical trial of patients with extensively pretreated ccRCC at UTSW and elsewhere. There were no dose-limiting toxicities, and disease control ≥4 months was achieved in 42% of patients.Patients and Methods:We conducted a prospective companion substudy involving a subset of patients enrolled in the phase I clinical trial at UTSW (n = 10), who were treated at the phase II dose or above, involving multiparametric MRI, blood draws, and serial biopsies for biochemical, whole exome, and RNA-sequencing studies.Results:PT2385 inhibited HIF-2 in nontumor tissues, as determined by a reduction in erythropoietin levels (a pharmacodynamic marker), in all but one patient, who had the lowest drug concentrations. PT2385 dissociated HIF-2 complexes in ccRCC metastases, and inhibited HIF-2 target gene expression. In contrast, HIF-1 complexes were unaffected. Prolonged PT2385 treatment resulted in the acquisition of resistance, and we identified a gatekeeper mutation (G323E) in HIF2α, which interferes with drug binding and precluded HIF-2 complex dissociation. In addition, we identified an acquired TP53 mutation elsewhere, suggesting a possible alternate mechanism of resistance.Conclusions:These findings demonstrate a core dependency on HIF-2 in metastatic ccRCC and establish PT2385 as a highly specific HIF-2 inhibitor in humans. New approaches will be required to target mutant HIF-2 beyond PT2385 or the closely related PT2977 (MK-6482).

Immunoglobulin Isotypes and Relative Biologic Properties

Supplementary Figure S1. Pharmacodynamic analyses and illustrative mpMRI studies.

Purpose: The survival of patients with clear cell metastatic renal cell carcinoma (cc-mRCC) has improved substantially since the introduction of tyrosine kinase inhibitors (TKI). With the fact that TKIs interact with immune responses, we investigated whether polymorphisms of genes involved in immune checkpoints are related to the clinical outcome of cc-mRCC patients treated with sunitinib as first TKI.Experimental Design: Twenty-seven single-nucleotide polymorphisms (SNP) in CD274 (PD-L1), PDCD1 (PD-1), and CTLA-4 were tested for a possible association with progression-free survival (PFS) and overall survival (OS) in a discovery cohort of 550 sunitinib-treated cc-mRCC patients. SNPs with a significant association (P < 0.05) were tested in an independent validation cohort of 138 sunitinib-treated cc-mRCC patients. Finally, data of the discovery and validation cohort were pooled for meta-analysis.Results: CTLA-4 rs231775 and CD274 rs7866740 showed significant associations with OS in the discovery cohort after correction for age, gender, and Heng prognostic risk group [HR, 0.84; 95% confidence interval (CI), 0.72–0.98; P = 0.028, and HR, 0.73; 95% CI, 0.54–0.99; P = 0.047, respectively]. In the validation cohort, the associations of both SNPs with OS did not meet the significance threshold of P < 0.05. After meta-analysis, CTLA-4 rs231775 showed a significant association with OS (HR, 0.83; 95% CI, 0.72–0.95; P = 0.008). Patients with the GG genotype had longer OS (35.1 months) compared with patients with an AG (30.3 months) or AA genotype (24.3 months). No significant associations with PFS were found.Conclusions: The G-allele of rs231775 in the CTLA-4 gene is associated with an improved OS in sunitinib-treated cc-mRCC patients and could potentially be used as a prognostic biomarker. Clin Cancer Res; 24(10); 2350–6. ©2018 AACR.

Supplementary Tables S2-S9.

Distribution of RS results in T3 patients in the gene signature cohort. Abbreviations: RS, recurrence score; T3, stage III tumor.

Supplementary Data Legends

Purpose: Adjuvant sunitinib prolonged disease-free survival (DFS; HR, 0.76) in patients with locoregional high-risk renal cell carcinoma (RCC) in the S-TRAC trial (ClinicalTrials.gov NCT00375674). The 16-gene Recurrence Score (RS) assay was previously developed and validated to estimate risk for disease recurrence in patients with RCC after nephrectomy. This analysis further validated the prognostic value of RS assay in patients from S-TRAC and explored the association of RS results with prediction of sunitinib benefit.Patients and Methods: The analysis was prospectively designed with prespecified genes, algorithm, endpoints, and analytical methods. Primary RCC was available from 212 patients with informed consent; primary analysis focused on patients with T3 RCC. Gene expression was quantitated by RT-PCR. Time to recurrence (TTR), DFS, and renal cancer–specific survival (RCSS) were analyzed using Cox proportional hazards regression.Results: Baseline characteristics were similar between patients with and those without RS results, and between the sunitinib and placebo arms among patients with RS results. RS results predicted TTR, DFS, and RCSS in both arms, with the strongest results observed in the placebo arm. When high versus low RS groups were compared, HR for recurrence was 9.18 [95% confidence interval (CI), 2.15–39.24; P < 0.001) in the placebo arm; interaction of RS results with treatment was not significant.Conclusions: The strong prognostic performance of the 16-gene RS assay was confirmed in S-TRAC, and the RS assay is now supported by level IB evidence. RS results may help identify patients at high risk for recurrence who may derive higher absolute benefit from adjuvant therapy. Clin Cancer Res; 24(18); 4407–15. ©2018 AACR.

Purpose:Patients with advanced renal cell carcinoma with sarcomatoid features (sRCC) have poor prognoses and suboptimal outcomes with targeted therapy. This post hoc analysis of the phase III CheckMate 214 trial analyzed the efficacy of nivolumab plus ipilimumab (NIVO+IPI) versus sunitinib in patients with sRCC.Patients and Methods:Patients with sRCC were identified via independent central pathology review of archival tumor tissue or histologic classification per local pathology report. Patients were randomized 1:1 to receive nivolumab (3 mg/kg) plus ipilimumab (1 mg/kg) every 3 weeks (four doses) then nivolumab 3 mg/kg every 2 weeks, or sunitinib 50 mg orally every day (4 weeks; 6-week cycles). Outcomes in patients with sRCC were not prespecified. Endpoints in patients with sRCC and International Metastatic Renal Cell Carcinoma Database Consortium intermediate/poor-risk disease included overall survival (OS), progression-free survival (PFS) per independent radiology review, and objective response rate (ORR) per RECIST v1.1. Safety outcomes used descriptive statistics.Results:Of 1,096 randomized patients in CheckMate 214, 139 patients with sRCC and intermediate/poor-risk disease and six with favorable-risk disease were identified. With 42 months' minimum follow-up in patients with sRCC and intermediate/poor-risk disease, median OS [95% confidence interval (CI)] favored NIVO+IPI [not reached (NR) (25.2-not estimable [NE]); n = 74] versus sunitinib [14.2 months (9.3–22.9); n = 65; HR, 0.45 (95% CI, 0.3–0.7; P = 0.0004)]; PFS benefits with NIVO+IPI were similarly observed [median 26.5 vs. 5.1 months; HR, 0.54 (95% CI, 0.33–0.86; P = 0.0093)]. Confirmed ORR was 60.8% with NIVO+IPI versus 23.1% with sunitinib, with complete response rates of 18.9% versus 3.1%, respectively. No new safety signals emerged.Conclusions:NIVO+IPI showed unprecedented long-term survival, response, and complete response benefits versus sunitinib in previously untreated patients with sRCC and intermediate/poor-risk disease, supporting the use of first-line NIVO+IPI for this population.See related commentary by Hwang et al., p. 5

List of all patients with complete information on mutations found and allele frequency

Purpose:Transcriptomic profiling can shed light on the biology of small-cell bladder cancer (SCBC), nominating biomarkers, and novel therapeutic targets.Experimental Design:Sixty-three patients with SCBC had small-cell histology confirmed and quantified by a genitourinary pathologist. Gene expression profiling was performed for 39 primary tumor samples, 1 metastatic sample, and 6 adjacent normal urothelium samples (46 total) from the same cohort. Protein levels of differentially expressed therapeutic targets, DLL3 and PDL1, and also CD56 and ASCL1, were confirmed by IHC. A SCBC PDX model was utilized to assess in vivo efficacy of DLL3-targeting antibody–drug conjugate (ADC).Results:Unsupervised hierarchical clustering of 46 samples produced 4 clusters that correlated with clinical phenotypes. Patients whose tumors had the most “normal-like” pattern of gene expression had longer overall survival (OS) compared with the other 3 clusters while patients with the most “metastasis-like” pattern had the shortest OS (P = 0.047). Expression of DLL3, PDL1, ASCL1, and CD56 was confirmed by IHC in 68%, 30%, 52%, and 81% of tissue samples, respectively. In a multivariate analysis, DLL3 protein expression on >10% and CD56 expression on >30% of tumor cells were both prognostic of shorter OS (P = 0.03 each). A DLL3-targeting ADC showed durable antitumor efficacy in a SCBC PDX model.Conclusions:Gene expression patterns in SCBC are associated with distinct clinical phenotypes ranging from more indolent to aggressive disease. Overexpression of DLL3 mRNA and protein is common in SCBC and correlates with shorter OS. A DLL3-targeted ADC demonstrated in vivo efficacy superior to chemotherapy in a PDX model of SCBC.

Purpose:CALGB 90206 was a phase III trial of 732 patients with metastatic renal cell carcinoma (mRCC) comparing bevacizumab plus IFNα (BEV + IFN) with IFNα alone (IFN). No difference in overall survival (OS) was observed. Baseline samples were analyzed to identify predictive biomarkers for survival benefit.Patients and Methods:A total of 32 biomarkers were assessed in 498 consenting patients randomly assigned into training (n = 279) and testing (n = 219) sets. The proportional hazards model was used to test for treatment arm and biomarker interactions of OS. The estimated coefficients from the training set were used to compute a risk score for each patient and to classify patients by risk in the testing set. The resulting model was assessed for predictive accuracy using the time-dependent area under the ROC curve (tAUROC).Results:A statistically significant three-way interaction between IL6, hepatocyte growth factor (HGF), and bevacizumab treatment was observed in the training set and confirmed in the testing set (P < 0.0001). The model based on IL6, HGF, and bevacizumab treatment was predictive of OS (P < 0.001), with the high- and low-risk groups having a median OS of 10.2 [95% confidence interval (CI), 8.0–13.8] and 34.3 (95% CI, 28.5–40.5) months, respectively. The average tAUROC for the final model of OS based on 100 randomly split testing sets was 0.78 (first, third quartiles = 0.77, 0.79).Conclusions:IL6 and HGF are potential predictive biomarkers of OS benefit from BEV + IFN in patients with mRCC. The model based on key biological and clinical factors demonstrated predictive efficacy for OS. These markers warrant further validation in future anti-VEGF and immunotherapy in mRCC trials.See related commentaries by Mishkin and Kohn, p. 2722 and George and Bertagnolli, p. 2725

Patient baseline characteristics in the placebo versus sunitinib arm: all T3 patients in the gene signature cohort. aN0 or NX, any Fuhrman grade, ECOG PS 0 or Fuhrman grade 1 and ECOG PS ï,³1. bN0 or NX, Fuhrman grade {greater than or equal to}2, ECOG PS {greater than or equal to}1. cAny Fuhrman grade, any ECOG PS. Abbreviations: ECOG PS, Eastern Cooperative Oncology Group performance status; SD, standard deviation; RS, Recurrence Score.

Supplementary Table S1 Selected tagging SNPs Supplementary Figure S1 Kaplan-Meier plot for overall survival by genotype of CTLA-4 rs231775 in discovery cohort (A), validation cohort (B) and combined cohort (C). Supplementary Figure S2 The association of CTLA-4 rs231775 with CTLA-4 gene expression in multiple tissues (A) and in testis tissue (B, p=1.0Ã-10-7) using data from the Genotype-Tissue Expression (GTEx) dataset. Supplementary Figure S3 The survival curve shows the association of CTLA-4 gene expression with overall survival in patients with clear cell renal cell carcinoma (p=0.00255) through OncoLnc, which links The Cancer Genome Atlas (TCGA) survival data to mRNA expression levels (23). (low: lower 50 percentile, high: upper 50 percentile).

Recent FDA approvals of regimens targeting programmed death 1 (PD-1) in combination with anti-CTLA-4 or with VEGF tyrosine kinase inhibitors are reshaping front-line therapy for metastatic kidney cancer. In parallel, therapeutics specific for programmed death ligand 1 (PD-L1), one of the two major ligands for PD-1, are under continued investigation. Surprisingly, not all PD-1 and PD-L1 agents lead to similar clinical outcomes, potentially due to biological differences in the cellular expression and regulation of these targets. Here, we review current clinical data on combination immune checkpoint inhibitor therapy in metastatic kidney cancer and discuss the relevant biology of PD-1 and PD-L1. The design of future rational combination therapy trials in metastatic renal cell carcinoma will rely upon an understanding of this biology, along with an evolving understanding of immune cell populations and their functional states in the tumor microenvironment.

Supplementary Table S1. Multiparametric magnetic resonance imaging (mpMRI) acquisition parameters.

Supplemental data for DART Part 1 manuscript. Contains 1 figure and 3 tables. Supplemental Figure 1: Percent change from baseline in serum receptor expression. Samples were taken at cycle 1 day 1 (baseline), cycle 2 day 1, cycle 2 day 8, cycle 3 day 1, and the last visit. Percent change from baseline was calculated for each patient and averaged across all patients. (A) Serum VEGFR3 receptor expression (B) Serum VEGFR2 receptor expression. Supplemental Table 1: Management of Adverse Events Related to Dalantercept/Placebo Supplemental Table 2: Summary Pharmacokinetic Parameters for Dalantercept plus Axitinib Supplemental Table 3: Biomarker Expression Levels in Biopsied Tissue Samples

Overall survival (A) and progression-free survival (B) by baseline tumor PD-L1 expression (PD-L1 {greater than or equal to}1% and PD-L1

Supplementary Data from Treatment-free Survival after Immune Checkpoint Inhibitor Therapy versus Targeted Therapy for Advanced Renal Cell Carcinoma: 42-Month Results of the CheckMate 214 Trial

ORR in patients with sRCC and I/P-risk disease, per IRRC, by central or local pathology review.

Figure S1, Supplementary Table, Figure S2, Figure S3, Figure S4, Figure S5

The emergence of viable therapeutic strategies in metastatic renal cell carcinoma has invigorated translational and clinical research in this disease. Building upon the clinical activity observed with inhibition of vascular endothelial growth factor (VEGF) and mammalian target of rapamycin (mTOR) pathways, novel strategies are being investigated to extend existing clinical benefits. Preclinical study has identified potential molecular mechanisms of response and resistance, providing a rational basis for biomarker development as well as sequential and combination therapy strategies. Several treatment strategies have emerged that are in the early phases of clinical testing. Further clinical and translational research is needed to validate initial hypotheses and translate observations into novel treatment strategies. Clin Cancer Res; 16(5); 1348–54