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The International Metastatic Renal-Cell Carcinoma Database Consortium model offers prognostic information for patients with metastatic renal-cell carcinoma. We tested the accuracy of the model in an external population and compared it with other prognostic models. We included patients with metastatic renal-cell carcinoma who were treated with first-line VEGF-targeted treatment at 13 international cancer centres and who were registered in the Consortium's database but had not contributed to the initial development of the Consortium Database model. The primary endpoint was overall survival. We compared the Database Consortium model with the Cleveland Clinic Foundation (CCF) model, the International Kidney Cancer Working Group (IKCWG) model, the French model, and the Memorial Sloan-Kettering Cancer Center (MSKCC) model by concordance indices and other measures of model fit. Overall, 1028 patients were included in this study, of whom 849 had complete data to assess the Database Consortium model. Median overall survival was 18·8 months (95% 17·6–21·4). The predefined Database Consortium risk factors (anaemia, thrombocytosis, neutrophilia, hypercalcaemia, Karnofsky performance status <80%, and <1 year from diagnosis to treatment) were independent predictors of poor overall survival in the external validation set (hazard ratios ranged between 1·27 and 2·08, concordance index 0·71, 95% CI 0·68–0·73). When patients were segregated into three risk categories, median overall survival was 43·2 months (95% CI 31·4–50·1) in the favourable risk group (no risk factors; 157 patients), 22·5 months (18·7–25·1) in the intermediate risk group (one to two risk factors; 440 patients), and 7·8 months (6·5–9·7) in the poor risk group (three or more risk factors; 252 patients; p<0·0001; concordance index 0·664, 95% CI 0·639–0·689). 672 patients had complete data to test all five models. The concordance index of the CCF model was 0·662 (95% CI 0·636–0·687), of the French model 0·640 (0·614–0·665), of the IKCWG model 0·668 (0·645–0·692), and of the MSKCC model 0·657 (0·632–0·682). The reported versus predicted number of deaths at 2 years was most similar in the Database Consortium model compared with the other models. The Database Consortium model is now externally validated and can be applied to stratify patients by risk in clinical trials and to counsel patients about prognosis. None.

Cabozantinib is an oral inhibitor of tyrosine kinases including MET, VEGFR, and AXL. The randomised phase 3 METEOR trial compared the efficacy and safety of cabozantinib versus the mTOR inhibitor everolimus in patients with advanced renal cell carcinoma who progressed after previous VEGFR tyrosine-kinase inhibitor treatment. Here, we report the final overall survival results from this study based on an unplanned second interim analysis. In this open-label, randomised phase 3 trial, we randomly assigned (1:1) patients aged 18 years and older with advanced or metastatic clear-cell renal cell carcinoma, measurable disease, and previous treatment with one or more VEGFR tyrosine-kinase inhibitors to receive 60 mg cabozantinib once a day or 10 mg everolimus once a day. Randomisation was done with an interactive voice and web response system. Stratification factors were Memorial Sloan Kettering Cancer Center risk group and the number of previous treatments with VEGFR tyrosine-kinase inhibitors. The primary endpoint was progression-free survival as assessed by an independent radiology review committee in the first 375 randomly assigned patients and has been previously reported. Secondary endpoints were overall survival and objective response in all randomly assigned patients assessed by intention-to-treat. Safety was assessed per protocol in all patients who received at least one dose of study drug. The study is closed for enrolment but treatment and follow-up of patients is ongoing for long-term safety evaluation. This trial is registered with ClinicalTrials.gov, number NCT01865747. Between Aug 8, 2013, and Nov 24, 2014, 658 patients were randomly assigned to receive cabozantinib (n=330) or everolimus (n=328). The median duration of follow-up for overall survival and safety was 18·7 months (IQR 16·1–21·1) in the cabozantinib group and 18·8 months (16·0–21·2) in the everolimus group. Median overall survival was 21·4 months (95% CI 18·7–not estimable) with cabozantinib and 16·5 months (14·7–18·8) with everolimus (hazard ratio [HR] 0·66 [95% CI 0·53–0·83]; p=0·00026). Cabozantinib treatment also resulted in improved progression-free survival (HR 0·51 [95% CI 0·41–0·62]; p<0·0001) and objective response (17% [13–22] with cabozantinib vs 3% [2–6] with everolimus; p<0·0001) per independent radiology review among all randomised patients. The most common grade 3 or 4 adverse events were hypertension (49 [15%] in the cabozantinib group vs 12 [4%] in the everolimus group), diarrhoea (43 [13%] vs 7 [2%]), fatigue (36 [11%] vs 24 [7%]), palmar-plantar erythrodysaesthesia syndrome (27 [8%] vs 3 [1%]), anaemia (19 [6%] vs 53 [17%]), hyperglycaemia (3 [1%] vs 16 [5%]), and hypomagnesaemia (16 [5%] vs none). Serious adverse events grade 3 or worse occurred in 130 (39%) patients in the cabozantinib group and in 129 (40%) in the everolimus group. One treatment-related death occurred in the cabozantinib group (death; not otherwise specified) and two occurred in the everolimus group (one aspergillus infection and one pneumonia aspiration). Treatment with cabozantinib increased overall survival, delayed disease progression, and improved the objective response compared with everolimus. Based on these results, cabozantinib should be considered as a new standard-of-care treatment option for previously treated patients with advanced renal cell carcinoma. Patients should be monitored for adverse events that might require dose modifications. Exelixis Inc.

In patients with advanced renal-cell carcinoma, treatment with cabozantinib plus nivolumab and ipilimumab resulted in longer progression-free survival than treatment with nivolumab and ipilimumab alone.

Background Incidence of testicular cancer is highest among young adults and has been increasing dramatically for men born since 1945. This study aimed to elucidate the factors driving this trend by investigating differences in mutational signatures by age of onset. Methods We retrieved somatic variant and clinical data pertaining to 135 testicular tumors from The Cancer Genome Atlas. We compared mutational load, prevalence of specific mutated genes, mutation types, and mutational signatures between age of onset groups (< 30 years, 30–39 years, ≥ 40 years) after adjusting for subtype. A recursively partitioned mixture model was utilized to characterize combinations of signatures among the young-onset cases. Results Mutational load was significantly higher among older-onset tumors ( p  < 0.05). There were no highly prevalent driver mutations among young-onset tumors. Mutated genes and types of nucleotide mutations were not significantly different by age group ( p  > 0.05). Signatures 1, 8 and 29 were more common among young-onset tumors, while signatures 11 and 16 had higher prevalence among older-onset tumors ( p  < 0.05). Among young-onset tumors, clustering of signatures resulted in four distinct tumor classes. Conclusions Signature contributions differ by age with signatures 1, 8 and 29 were more common among younger-onset tumors. While these signatures are connected with endogenous deamination of 5-methylcytosine, late replication errors and chewing tobacco, respectively, additional research is needed to further elucidate the etiology of young-onset testicular cancer. Large studies of mutational signatures among young-onset patients are required to understand epidemiologic trends as well as inform targeted prevention and treatment strategies.

Immune-related adverse events (irAEs) secondary to immune checkpoint inhibitor (ICI) therapy reportedly improve overall survival (OS) in patients with non-small cell lung cancer (NSCLC). However, studies have been small and the association between irAE severity and OS remains poorly defined. To examine the association between irAEs and their severity with OS in patients with locally advanced or metastatic NSCLC receiving ICIs. This retrospective observational cohort study included patients with NSCLC receiving ICIs between March 1, 2014, and November 30, 2021, with follow-up until March 31, 2023. Data analysis was completed April 26, 2023. The Alberta Immunotherapy Database, a provincial, multicenter cohort, was used to capture data from patients receiving ICIs in Alberta, Canada. Participants included 803 patients 18 years or older who received at least 1 cycle of ICI (alone or with chemotherapy), agnostic to treatment line. Developing an irAE mandating delay or discontinuation of ICI therapy and/or systematic corticosteroids for management of toxic effects (hereinafter referred to as clinically meaningful irAEs). The primary outcome was association between irAEs and OS according to Kaplan-Meier analysis. Clinically meaningful irAEs were identified. Patients with poor prognosis (survival <3 months) who may have died prior to irAE development were excluded from OS analysis, mitigating immortal time bias. Adjusted Cox proportional hazards regression analyses ascertained variables associated with OS. Among the 803 patients included in the analysis, the median age of patients with irAEs was 69.7 (IQR, 63.1-75.2) years and the median age of those without irAEs was 67.5 (IQR, 60.4-73.3) years, with comparable sex distribution (139 of 295 men [47.1%] and 156 of 295 women [52.9%] with irAEs vs 254 of 505 men [50.3%] and 251 of 505 women [49.7%] without irAEs). Mitigating immortal time bias (n = 611), irAEs were associated with OS (median OS with irAEs, 23.7 [95% CI, 19.3-29.1] months; median OS without irAEs, 9.8 [95% CI, 8.7-11.4] months; P < .001). No OS difference was associated with treatment in hospital vs as outpatients for an irAE (median OS, 20.8 [95% CI, 11.7-30.6] vs 25.6 [95% CI, 20.1-29.8] months; P = .33). Developing irAEs remained associated with OS in the total cohort after Cox proportional hazards regression with known prognostic characteristics (hazard ratio, 0.53 [95% CI, 0.40-0.70]; P < .001). In this cohort study of 803 patients with locally advanced or metastatic NSCLC receiving ICIs, developing a clinically meaningful irAE was associated with improved OS. This association was not compromised by hospitalization for severe toxic effects. Whether and how ICI therapy resumption after an irAE is associated with OS warrants further study.

There exists considerable biological and clinical variability between histologic variants of metastatic renal cell carcinoma (mRCC). Data reporting on patterns of metastasis in histologic variants of mRCC are sparse. To characterize sites of metastasis and their association with survival across the 3 most common histologic variants of mRCC: clear cell (ccRCC), papillary (pRCC), and chromophobe (chrRCC). In this multicenter, international cohort study, the International mRCC Database Consortium (IMDC) database was used to identify consecutive patients starting systemic therapy for mRCC between 2002 and 2019. Patients with mixed histologic subtype were excluded. Statistical analysis was performed from February to June 2020. Data regarding histologic subtype and sites of metastatic involvement at the time of first systemic therapy initiation were collected. The primary outcomes were prevalence of metastatic site involvement and overall survival (OS) from time of systemic therapy initiation. Patients with multiple sites of metastatic involvement were included in analyses of all groups to which they had metastases. A total of 10 105 patients were eligible for analysis. Median (interquartile range) age at diagnosis was 60 (53-67) years, 7310 (72.4%) were men and 8526 (84.5%) underwent nephrectomy. Of these, 9252 (92%) had ccRCC, 667 (7%) had pRCC, and 186 (2%) had chrRCC. The median number of sites of metastasis was 2 (range, 0-7). In ccRCC, the most common sites of metastasis were lung (70%; 6189 of 8804 patients [448 missing]), lymph nodes (45%; 3874 of 8655 patients [597 missing]), bone (32%; 2847 of 8817 patients [435 missing]), liver (18%; 1560 of 8804 [448 missing]), and adrenal gland (10%; 678 of 6673 patients [2579 missing]). Sites of metastasis varied between subtypes. Lung, adrenal, brain, and pancreatic metastases were more frequent in ccRCC, lymph node involvement was more common in pRCC, and liver metastases were more frequent in chrRCC. Median OS for ccRCC varied by site of metastatic involvement, ranging between 16 months (95% CI, 13.7-18.8 months) for the pleura and 50 months (95% CI, 41.1-55.5 months) for the pancreas. Compared with ccRCC, patients with pRCC tended to have lower OS, regardless of metastatic site. Sites of metastatic involvement differ according to histologic subtype in mRCC and are associated with OS. These data highlight the clinical and biological variability between histologic subtypes of mRCC. Patterns of metastatic spread may reflect differences in underlying disease biology. Further work to investigate differences in immune, molecular, and genetic profiles between metastatic sites and histologic subtypes is encouraged.

The advent of targeted therapies in the past 7 years has extended median survival for metastatic renal-cell carcinoma. This improvement in clinical outcome has created a need for new, more accurate prognostic measures. We assessed the use of conditional survival—a measure that accounts for elapsed time since treatment initiation—for prognostication in patients with metastatic renal-cell carcinoma treated with first-line VEGF-targeted therapies. We obtained data for patients with metastatic renal-cell carcinoma who were treated with a first-line VEGF-targeted therapy between April 7, 2003, and Oct 12, 2010, from our large multi-institutional International mRCC Database Consortium (centres in Canada, the USA, Singapore, Denmark, and South Korea). All histologies, performance statuses, and prognostic risk groups were included. The primary outcome was 2-year conditional survival, defined as the probability of surviving an additional 2 years from a given timepoint since the start of targeted therapy. Secondary analyses included 1-year and 3-year conditional survival, along with stratification of patients by Heng prognostic risk criteria and Karnofsky performance score, and conditional survival based on length of time on therapy. We used the Kaplan-Meier method and a landmark analysis to calculate conditional survival. In the 1673 patients analysed, median follow-up for alive patients was 20·1 months (IQR 9·0–34·4). We recorded an increase in the 2-year conditional survival probability from 44% (95% CI 41–47) at 0 months to 51% (46–55) at 18 months since beginning targeted therapy. When stratified by the Heng prognostic risk criteria defined at therapy initiation, 2-year conditional survival changed little in the favourable and intermediate groups, but in the poor-risk group, 2-year conditional survival improved from 11% (8–15) at 0 months to 33% (18–48) after 18 months. When conditioned on time on targeted therapy from 0 months to 18 months, 2-year conditional survival improved from 44% (41–47) to 68% (60–75) in the overall population and from 74% (68–79) to 90% (77–96) in the favourable group, 49% (45–53) to 57% (45–67) in the intermediate group, and 11% (8–15) to 73% (43–89) in the poor risk group. Conditional survival is a clinically useful prediction measure that adjusts prognosis of patients with metastatic renal-cell carcinoma on the basis of survival since treatment initiation or therapy duration. Conditional survival might be especially relevant to adjust prognosis for poor-risk patients. The Trust Family Fund for Kidney Cancer Research.

Previous prognostic models for second-line systemic therapy in patients with metastatic renal cell carcinoma have not been studied in the setting of targeted therapy. We sought to validate the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model in patients with metastatic renal cell carcinoma receiving next-line targeted therapy after progression on first-line targeted therapy. In this population-based study, we analysed patients who received second-line targeted therapy for metastatic renal cell carcinoma at 19 centres in Canada, USA, Greece, Japan, Singapore, South Korea, and Denmark. The primary endpoint was overall survival since the initiation of second-line therapy. We compared the prognostic performance of the IMDC model with the three-factor MSKCC model used for previously treated patients for overall survival since the start of second-line targeted therapy. Between Jan 1, 2005, and Nov 30, 2012, we included 1021 patients treated with second-line targeted therapy. Median overall survival since the start of second-line targeted therapy was 12·5 months (95% CI 11·3–14·3). Five of six predefined factors in the IMDC model (anaemia, thrombocytosis, neutrophilia, Karnofsky performance status [KPS] <80, and <1 year from diagnosis to first-line targeted therapy) were independent predictors of poor overall survival on multivariable analysis. The concordance index using all six prognostic factors (ie, also including hypercalcaemia) was 0·70 (95% CI 0·67–0·72) with the IMDC model and was 0·66 (95% CI 0·64–0·68) with the three-factor MSKCC model. When patients were divided into three risk categories using IMDC criteria, median overall survival was 35·3 months (95% CI 28·3–47·8) in the favourable risk group (n=76), 16·6 months (14·9–17·9) in the intermediate risk group (n=529), and 5·4 months (4·7–6·8) in the poor risk group (n=261). The IMDC prognostic model can be applied to patients previously treated with targeted therapy, in addition to previously validated populations in first-line targeted therapy. The IMDC prognostic model in the second-line targeted therapy setting has an improved prognostic performance and is applicable to a more contemporary patient cohort than that of the three-factor MSKCC model. DF/HCC Kidney Cancer SPORE P50 CA101942-01, Kidney Cancer Research Network of Canada, Canadian Institute for Health Research, Trust Family, Loker Pinard, Michael Brigham, and Gerald DeWulf.

Programmed death 1 (PD-1) is a T cell co-inhibitory receptor with two ligands, PD-L1 and PD-L2. In cancer, this pathway plays a major role in immune resistance in the tumor environment. Blockade of this pathway can enhance antitumor immune responses. This review discusses the preclinical rationale for PD-1 pathway inhibition in advanced renal cell carcinoma and prostate cancer, in addition to the clinical activity and toxicity of the anti-PD-L1 antibody BMS-936559, as well as anti-PD-1 antibodies MK-3475 and BMS-936558.

Paradoxically, elevated BMI is a recognized positive prognostic factor in renal cell carcinoma (RCC). A recent investigation of the transcriptomic signatures of RCC tumours and peritumoural tissues suggests potential biological mechanisms underlying this effect. However, the clinical utility of BMI in the context of RCC remains uncertain.