Purpose: Selecting patients with metastatic clear-cell renal cell carcinoma (m-ccRCC) who might benefit from treatment with targeted tyrosine kinase inhibitors (TKI) is a challenge. Our aim was to identify molecular markers associated with outcome in patients with m-ccRCC treated with sunitinib. Experimental Design: We performed global transcriptome analyses on 53 primary resected ccRCC tumors from patients who developed metastatic disease and were treated with first-line sunitinib. We also determined chromosome copy-number aberrations, methylation status, and gene mutations in von Hippel–Lindau and PBRM1. Molecular data were analyzed in relation with response rate (RR), progression-free survival (PFS), and overall survival (OS). Validation was performed in 47 additional ccRCC samples treated in first-line metastatic setting with sunitinib. Results: Unsupervised transcriptome analysis identified 4 robust ccRCC subtypes (ccrcc1 to 4) related to previous molecular classifications that were associated with different responses to sunitinib treatment. ccrcc1/ccrcc4 tumors had a lower RR (P = 0.005) and a shorter PFS and OS than ccrcc2/ccrcc3 tumors (P = 0.001 and 0.0003, respectively). These subtypes were the only significant covariate in the multivariate Cox model for PFS and OS (P = 0.017 and 0.006, respectively). ccrcc1/ccrcc4 tumors were characterized by a stem-cell polycomb signature and CpG hypermethylation, whereas ccrcc3 tumors, sensitive to sunitinib, did not exhibit cellular response to hypoxia. Moreover, ccrcc4 tumors exhibited sarcomatoid differentiation with a strong inflammatory, Th1-oriented but suppressive immune microenvironment, with high expression of PDCD1 (PD-1) and its ligands. Conclusions: ccRCC molecular subtypes are predictive of sunitinib response in metastatic patients, and could be used for personalized mRCC treatment with TKIs, demethylating or immunomodulatory drugs. Clin Cancer Res; 21(6); 1329–39. ©2015 AACR.

Background: The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods: We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results: For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10⁻⁵), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10⁻⁸) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions: This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.

Background: The aim of our study was to determine whether the presence of bone metastases affects outcomes in patients with metastatic clear-cell renal cell carcinoma (m-ccRCC) receiving sunitinib. Patients and methods: We reviewed the charts of all patients in four academic centers in Belgium and France who started first-line sunitinib (50 mg/day; 4 weeks on and 2 weeks off) between January 2005 and December 2008. Data were collected on known prognostic factors for metastatic renal cell carcinoma and metastatic sites. Response and progression were evaluated by computed tomography scan (according to RECIST). Results: Two hundred twenty-three patients were identified. With a median follow-up of 40 months, median progression-free survival (PFS) and median overall survival (OS) were significantly shorter in patients with bone metastases than in those without: respectively, 8.2 versus 19.1 months (P < 0.0001) and 19.5 versus 38.5 months (P < 0.0001). On multivariate analysis, taking on account platelet count, Eastern Cooperative Oncology Group performance status, number of metastatic sites, neutrophil count, corrected serum calcium, time from diagnosis to systemic treatment, and the presence of bone metastases, bone metastasis was the independent variable most significantly associated with poor PFS (P < 0.0001) and OS (P = 0.001). Conclusion: The presence of bone metastases in m-ccRCC patients has a significant and clinically relevant negative impact on outcome on sunitinib.

PURPOSE: In rare cases, immune checkpoint inhibitors (ICIs) cause immune-mediated myocarditis. However, true incidence of other major adverse cardiovascular events (MACEs) after ICI treatment remains unknown, mainly because late occurring side effects are rarely reported in prospective clinical trials. The aims of this study were (1) to identify incidence and risk factors of MACE in a real-life ICI-treated cancer cohort and (2) to compare incidence rates with patients with cancer who are not treated with ICIs and population controls. METHODS: In total, 672 patients treated with ICIs were included. The primary end point was MACE, a composite of acute coronary syndrome, heart failure (HF), stroke, and transient ischemic attack. Secondary outcomes were acute coronary syndrome and HF separately. Incidence rates were compared between groups after matching according to age, sex, cardiovascular history, and cancer type. RESULTS: The incidence of MACE was 10.3% during a median follow-up of 13 (interquartile range, 6-22) months. In multivariable analysis, a history of HF (hazard ratio 2.27; 95% CI, 1.03 to 5.04; P = .043) and valvular heart disease (hazard ratio 3.01; 95% CI, 1.05 to 8.66; P = .041) remained significantly associated with MACE. Cumulative incidence rates were significantly higher in the ICI group compared with the cancer cohort not exposed to ICI and the population controls, mainly driven by a higher risk of HF events. CONCLUSION: Cardiovascular events during and after ICI treatment are more common than currently appreciated. Patients at risk are those with a history of cardiovascular disease. Compared with matched cancer and population controls, MACE incidence rates are significantly higher, suggesting a potential harmful effect of ICI treatment besides the underlying risk.