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Introduction The role of the BRCA1 and BRCA2 genes in bladder and renal tumorigenesis is unclear. Our goal was to determine the prevalence of specific founder mutations genes BRCA1 (5328 insC, C61G and 4153 delA) and BRCA2 (C5972T) mutations in bladder and kidney cancer patients from Poland. Materials and methods We genotyped 1028 patients with bladder cancer and 688 cases with kidney cancer and two control groups. Results A BRCA1 mutation (all variants combined) was detected in peripheral blood leukocytes in 5 out of 1028 (0.5%) bladder cases and in 17 of 4000 controls (0.4%) (odds ratio [OR], (OR = 1.1; 95% CI 0.42–3.11; p = 1.0). Among 688 unselected kidney cancer cases a BRCA1 mutations was reported in three patients (0.4%) (OR = 1.0; 95% CI 0.29–3.51; p = 1.0). The mutation C5972T in BRCA2 was observed in 54 bladder cancer patients (5.2%) and in 159 of 2791 healthy controls (5.7%) (OR = 0.9; 95% CI 0.66–1.26; p = 0.6). Fifty kidney cancer cases carried a BRCA2 mutation (7.3%) (OR = 1.3; 95% CI 0.93–1.80; p = 0.1). Conclusion In conclusion, we found no difference in the prevalence of BRCA1 and BRCA2 founder mutations between cases and healthy controls. The mutations BRCA1 and BRCA2 seem not to play a role in bladder and kidney cancer development in Polish patients.

Purpose The purpose of this study was to compare the clinical characteristics and the survival of CHEK2 mutation positive and CHEK2 mutation negative patients diagnosed with bladder or kidney cancer. Materials and methods 1016 patients with bladder and 402 cases with kidney cancer and 8302 controls were genotyped for four CHEK2 variants: 1100delC, del5395, IVS2+1G>A and I157T. Predictors of survival were determined among CHEK2 pathogenic variant carriers using the Cox proportional hazards model. The median follow-up was 17.5 years. Covariates included age (≤60; >61 years), sex (female; male), clinical characteristics (stage: TNM, grade, histopathological type), smoking status (non-smoking; smoking) and cancer family history (negative; positive). Results We found no impact of CHEK2 mutations on bladder or kidney cancer survival. However, we observed a possible increased survival in the subgroup of patients with stage T1 bladder cancer with CHEK2 mutations but this did not meet statistical significance (HR = 0.14; 95% CI 0.02–1.04; p = 0.055). Moreover, we observed that the missense mutations were more frequent in the low grade invasive bladder cancer patient group (OR = 7.9; 95% CI 1.50–42.1; p = 0.04) and in patients with bladder cancer with stage Ta (OR = 2.4; 95% CI 1.30–4.55; p = 0.006). The different results where missense mutations occurs less often we observed among patients with high grade invasive bladder cancer (OR = 0.12; 95% CI 0.02–0.66; p = 0.04) and those with stage T1 disease (OR = 0.2; 95% CI 0.07–0.76; p = 0.01). Our investigations revealed that any mutation in CHEK2 occurs more often among patients with stage Ta bladder cancer (OR = 2.0; 95% CI 1.19–3.47; p = 0.01) and less often in patients with stage T1 disease (OR = 0.31; 95% CI 0.12–0.78; p = 0.01). In the kidney cancer patients, truncating mutations were present more often in the group with clear cell carcinoma GII (OR = 8.0; 95% CI 0.95–67.7; p = 0.05). The 10-year survival for all CHEK2 mutation carriers with bladder cancer was 33% and for non-carriers 11% (p = 0.15). The 10-year survival for CHEK2 mutation carriers with kidney cancer 34% and for non-carriers 20% (p = 0.5). Conclusion CHEK2 mutations were not associated with any change in bladder or kidney cancer survival regardless of their age, sex, smoking status and family history. We observed a potentially protective effect of CHEK2 mutations on survival for patients with stage T1 bladder cancer. CHEK2 missense mutations were more common among patients with low grade invasive bladder cancer and in patients with stage Ta diease. The frequencies of the I157T CHEK2 pathogenic variant were less in patients with high grade invasive bladder cancer and those with stage T1 disease. Among patients with bladder cancer with stage Ta disease, the OR for any mutation in CHEK2 was 2.0 but for those with stage T1 disease, the OR was 0.3. We observed truncating CHEK2 mutations were associated with kidney cancer patients with GII clear cell carcinoma.

Introduction The role of PALB2 in carcinogenesis remains to be clarified. Our main goal was to determine the prevalence of PALB2 (509_510delGA and 172_175delTTGT) mutations in bladder and kidney cancer patients from Polish population. Materials and methods 1413 patients with bladder and 810 cases with kidney cancer and 4702 controls were genotyped for two PALB2 variants: 509_510delGA and 172_175delTTGT. Results Two mutations of PALB2 gene were detected in 5 of 1413 (0.35%) unselected bladder cases and in 10 of 4702 controls (odds ratio [OR], 1.7; 95% CI 0.56–4.88; p = 0.52). Among 810 unselected kidney cancer cases two PALB2 mutations were reported in two patients (0,24%) (odds ratio [OR], (OR = 1.2; 95% CI 0.25–5.13; p = 0.84). In cases with mutations in PALB2 gene cancer family history was negative. Conclusion We found no difference in the prevalence of recurrent PALB2 mutations between cases and healthy controls. The mutations in PALB2 gene seem not to play a major role in bladder and kidney cancer development in Polish patients.

Purpose: The purpose of this study was to compare the survival of CHEK2 mutations positive and CHEK2 mutations negative patients with bladder or kidney cancer. Materials and methods: 1419 patients with bladder and 835 cases with kidney cancer and 8302 controls were genotyped for four CHEK2 variants: 1100delC, del5395, IVS2+1G>A and I157T. Predictors of survival were determined among CHEK2 carriers using the Cox proportional hazards model. The median follow-up was 17 years. Covariates included age (≤65; >66), smoking status (non-smoking; smoking), cancer family history (negative; positive) and gender (females; males). Results: Of the 1419 bladder patients enrolled in the study, 118 (8.32%) carried a CHEK2 mutation (all variants combined) (OR=1.4; 95% CI 1.17–1.78; p=0.0006), including 25 (1.76%) cases with a truncating mutation (OR=1.84; 95% CI, 1.17-2.89; p=0.01) and 93 (6.55%) patients with a missense mutation (OR=1.35; 95% CI, 1.07-1.7; p=0.01). We found no impact of CHEK2 mutations on bladder or kidney cancer survival. The 10-year survival for all CHEK2 mutation for bladder cancer carriers was 19% and for non-carriers was 13% (p=0.7). The 10-year survival for kidney cancer carriers was 6% and for non-carriers was 4% (p=0.9). Conclusion: We found no impact of CHEK2 mutations on bladder or kidney cancer survival regardless of their age, sex, cancer family history and smoking status.

CIMBA Consortium et al., PMID: 25849179, [Importance]: Limited information about the relationship between specific mutations in BRCA1 or BRCA2 (BRCA1/2) and cancer risk exists. [Objective]: To identify mutation-specific cancer risks for carriers of BRCA1/2. [Design, Setting, and Participants]: Observational study ofwomen whowere ascertained between 1937 and 2011 (median, 1999) and found to carry disease-associated BRCA1 or BRCA2 mutations. The international sample comprised 19 581 carriers of BRCA1 mutations and 11 900 carriers of BRCA2 mutations from 55 centers in 33 countries on 6 continents.We estimated hazard ratios for breast and ovarian cancer based on mutation type, function, and nucleotide position.We also estimated RHR, the ratio of breast vs ovarian cancer hazard ratios. A value of RHR greater than 1 indicated elevated breast cancer risk; a value of RHR less than 1 indicated elevated ovarian cancer risk. [Exposures]: Mutations of BRCA1 or BRCA2. [Main Outcomes and Measures]: Breast and ovarian cancer risks. [Results]: Among BRCA1 mutation carriers, 9052 women (46%) were diagnosed with breast cancer, 2317 (12%) with ovarian cancer, 1041 (5%) with breast and ovarian cancer, and 7171 (37%) without cancer. Among BRCA2 mutation carriers, 6180 women (52%) were diagnosed with breast cancer, 682 (6%) with ovarian cancer, 272 (2%) with breast and ovarian cancer, and 4766 (40%) without cancer. In BRCA1, we identified 3 breast cancer cluster regions (BCCRs) located at c.179 to c.505 (BCCR1; RHR = 1.46; 95%CI, 1.22-1.74; P = 2 × 10-6), c.4328 to c.4945 (BCCR2; RHR = 1.34; 95%CI, 1.01-1.78; P = .04), and c. 5261 to c.5563 (BCCR2', RHR = 1.38; 95%CI, 1.22-1.55; P = 6 × 10-9).We also identified an ovarian cancer cluster region (OCCR) from c.1380 to c.4062 (approximately exon 11) with RHR = 0.62 (95%CI, 0.56-0.70; P = 9 × 10-17). In BRCA2, we observed multiple BCCRs spanning c.1 to c.596 (BCCR1; RHR = 1.71; 95%CI, 1.06-2.78; P = .03), c.772 to c.1806 (BCCR1'; RHR = 1.63; 95%CI, 1.10-2.40; P = .01), and c.7394 to c.8904 (BCCR2; RHR = 2.31; 95%CI, 1.69-3.16; P = .00002).We also identified 3 OCCRs: the first (OCCR1) spanned c.3249 to c.5681 that was adjacent to c.5946delT (6174delT; RHR = 0.51; 95%CI, 0.44-0.60; P = 6 × 10-17). The second OCCR spanned c.6645 to c.7471 (OCCR2; RHR = 0.57; 95%CI, 0.41-0.80; P = .001). Mutations conferring nonsense-mediated decay were associated with differential breast or ovarian cancer risks and an earlier age of breast cancer diagnosis for both BRCA1 and BRCA2 mutation carriers. [Conclusions and Relevance]: Breast and ovarian cancer risks varied by type and location of BRCA1/2 mutations. With appropriate validation, these data may have implications for risk assessment and cancer prevention decision making for carriers of BRCA1 and BRCA2 mutations., Dr Antoniou and the CIMBA data management are funded by Cancer Research UK. Dr Easton is a Principal Research Fellow of Cancer Research UK. Dr Rebbeck is supported by R01-CA083855, R01-CA102776, and P50-CA083638 from the National Institutes of Health (NIH). Dr Rebbeck, Dr Nathanson, Ms Friebel, and Dr Domchek are supported by the Basser Research Center at the University of Pennsylvania. Dr Nathanson is supported by the Breast Cancer Research Foundation. Drs Domchek and Nathanson are supported by the Rooney Family Foundation. Dr Poppe is supported by R01-CA112520 from NIH. Cancer Research UK provided financial support for this work. Dr Antoniou is a Senior Cancer Research UK Cancer Research Fellow. Dr Phillips is a National Breast Cancer Foundation (Australia) Practitioner Fellow.

BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7×10−8, HR = 1.14, 95% CI: 1.09–1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4×10−8, HR = 1.27, 95% CI: 1.17–1.38) and 4q32.3 (rs4691139, P = 3.4×10−8, HR = 1.20, 95% CI: 1.17–1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10−4). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers., Author Summary BRCA1 mutation carriers have increased and variable risks of breast and ovarian cancer. To identify modifiers of breast and ovarian cancer risk in this population, a multi-stage GWAS of 14,351 BRCA1 mutation carriers was performed. Loci 1q32 and TCF7L2 at 10q25.3 were associated with breast cancer risk, and two loci at 4q32.2 and 17q21.31 were associated with ovarian cancer risk. The 4q32.3 ovarian cancer locus was not associated with ovarian cancer risk in the general population or in BRCA2 carriers and is the first indication of a BRCA1-specific risk locus for either breast or ovarian cancer. Furthermore, modeling the influence of these modifiers on cumulative risk of breast and ovarian cancer in BRCA1 mutation carriers for the first time showed that a wide range of individual absolute risks of each cancer can be estimated. These differences suggest that genetic risk modifiers may be incorporated into the clinical management of BRCA1 mutation carriers.

Genetic factors associated with the risk of smoking related cancers have until recently remained elusive. Since the publication of a genome-wide association study (GWAS) on lung cancer new genetic loci have been identified that appear to be associated with disease risk. In this replication study we genotyped 14 single nucleotide polymorphisms (SNPs) located at the 5p12.3-p15.33, 6p21.3-p22.1, 6q23-q27 and 15q25.1 loci in 874 lung, 450 bladder, 418 laryngeal cancer cases and cancer-free controls, matched by year of birth and sex to the cases. Our results revealed that loci in the chromosome region 15q25.1 (rs16969968[A], rs8034191[G]) and 5p15 (rs402710[T]) are associated with lung cancer risk in the Polish population (smoking status adjusted OR = 1.45, 1.35, 0.77; p ≤ 0.0001, 0.0005, 0.002; 95%CI 1.23-1.72, 1.14-1.59, 0.66-0.91 respectively). None of the other regions analyzed herein were implicated in the risk of lung, bladder or laryngeal cancer. This study supports previous findings on lung cancer but fails to show association of SNPs located in 15q25.1 and 5p15 region with other smoking related cancers like bladder and laryngeal cancer.

Urothelial bladder cancer is the second most common tumor of the genitourinary tract. In Poland 3,500 new cases of bladder cancer are diagnosed annually. Bladder cancer develops more predominantly in males and increases significantly in incidence between the ages of 60 and 70 years in the life. The risk factors for developing bladder cancer are: cigarette smoking, exposure to aromatic amines, polycyclic aromatic hydrocarbons and infection with Schistosoma haematobium. There is evidence that some bladder cancers are a result of a genetic predisposition to disease although up to now the genes of the high penetrance to bladder cancer have not been found. This situation calls for the development of innovative therapies based on environmental features for bladder cancer prevention and control. One potential novel approach is through diet. Some studies indicate that diet modifications may prevent incidence of bladder cancer or reduce the risk of recurrence or progression. Several epidemiologic evidence suggest that selenium concentration is inversely related to risk of bladder cancer. A Finnish cohort study found a protective effect for men but not for women. An American nested case-control study observed a statistically significant inverse association between selenium toenail concentration and risk of bladder cancer in women but not in men. Some data are conflicting and did not find this association. To validate the association between selenium concentrations and bladder cancer risk in Polish population we have investigated 37 cases of bladder cancer and 37 controls. In this analysis, a single control was selected for each case, based on sex, year of birth (+/- 2 years) and smoking status (+/- 20% pack-years). We conclude that high selenium concentration shows the tendency to decrease the risk of bladder cancer in the Polish population (OR 2.1; 95%CI 0.5-7.9; p=0.33) but further investigations are needed to achieve statistically significant result.