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  • American Association for Cancer Research (AACR)  (30)
  • 1
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 30, No. 3 ( 2021-03-01), p. 507-512
    Abstract: Early detection of renal cell carcinoma (RCC) has the potential to improve disease outcomes. No screening program for sporadic RCC is in place. Given relatively low incidence, screening would need to focus on people at high risk of clinically meaningful disease so as to limit overdiagnosis and screen-detected false positives. Methods: Among 192,172 participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (including 588 incident RCC cases), we evaluated a published RCC risk prediction model (including age, sex, BMI, and smoking status) in terms of discrimination (C-statistic) and calibration (observed probability as a function of predicted probability). We used a flexible parametric survival model to develop an expanded model including age, sex, BMI, and smoking status, with the addition of self-reported history of hypertension and measured blood pressure. Results: The previously published model yielded well-calibrated probabilities and good discrimination (C-statistic [95% CI]: 0.699 [0.679–0.721] ). Our model had slightly improved discrimination (0.714 [0.694–0.735], bootstrap optimism-corrected C-statistic: 0.709). Despite this good performance, predicted risk was low for the vast majority of participants, with 70% of participants having 10-year risk less than 0.0025. Conclusions: Although the models performed well for the prediction of incident RCC, they are currently insufficiently powerful to identify individuals at substantial risk of RCC in a general population. Impact: Despite the promising performance of the EPIC RCC risk prediction model, further development of the model, possibly including biomarkers of risk, is required to enable risk stratification of RCC.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 4349-4349
    Abstract: Epidemiological studies have convincingly demonstrated that several factors of the metabolic syndrome (MetS) are associated with the risk of Renal Cell Carcinoma (RCC)These factors often occur together and it is therefore challenging to disentangle their individual causal relevance in the etiology of RCC. In order to circumvent this limitation, we have applied a Mendelian randomization (MR) approach whereby genetic markers are evaluated in relation to RCC risk as unconfounded markers of the individual MetS factors. We focused on MetS parameters from which genetic instruments could be identified from large-scale genome-wide association studies (GWAS). The following MetS factors were instrumented using multiple gene-variants: general and central obesity (body mass index (BMI) and waist-to-hip ratio), elevated blood pressure (systolic and diastolic blood pressure), dyslipidemia (high and low density cholesterol, total cholesterol, and triglycerides), hyperglycemia (fasting glucose and glucose levels at 2 hours after glucose intolerance tests), and hyperinsulinemia (fasting insulin). Genetic proxies for these parameters were identified from GIANT, ICBP, GLGC and MAGIC Consortia. Summary statistics on RCC risk for instrumental SNPs of each MetS factor, including OR estimates and standard errors, were available from GWAS coordinated by the International Agency for Research on Cancer, the US National Cancer Institute, the Institute for Cancer Research UK, and the MD Anderson Cancer Center US. Together these studies comprised a total of 12,104 RCC cases and 24,999 controls from European origin that were genotyped using different genotyping platforms. Imputation was conducted on each dataset and only SNPs with an imputation quality higher than 0.6 were considered for the analyses. The causal effect of each MetS parameter on RCC risk was subsequently estimated using the MR likelihood-based approach, assuming a linear relationship between the risk factor and the outcome and a bivariate normal distribution for the genetic association estimates. The MR risk analysis using genetic instruments of the individual MetS factors indicated that elevated BMI (P: 1×10-08) and fasting insulin (P: 7×10-04)increased the risk of RCC, whereas elevated post-load glucose levels were associated with a lower risk (P: 2×10-3). The odds ratio per standard deviation increase were estimated at 1.58 (95% CI: 1.35-1.86) for BMI, 1.77 (95%CI: 1.27-2.46) for fasting insulin, and 0.62 (95%CI: 0.46-0.83) for post-load glucose. No associations were seen for genetic instruments of blood pressure or lipids. These results provide a clear support for a causal role of obesity in RCC etiology, and suggest that factors related to hyperglycemia and/or hyperinsulinemia may be involved in the causal pathway. This study may guide future efforts aiming to clarify the biological mechanisms whereby the metabolic syndrome influences RCC pathogenesis. Citation Format: Robert Carreras-Torres, Mattias Johansson, Ghislaine Scelo, Philip Haycock, Mark Purdue, Xifeng Wu, Richard Houlston, Stephen Chanock, Paul Brennan. Identifying causal risk factors of metabolic syndrome for renal cell carcinoma. A Mendelian randomization approach. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4349.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 3
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 17, No. 6 ( 2008-06-01), p. 1543-1549
    Abstract: Background: The objective of this study is to assess the risk of second primary cancers following a first primary esophageal cancer as well as the risk of esophageal cancer as a second primary, following first primary cancers of other sites. Methods: The present investigation is a multicenter study of 13 population-based cancer registries in Europe, Australia, Canada, and Singapore. To assess excess occurrence of second cancers after esophageal cancers, we calculated standardized incidence ratios (SIR) by dividing the observed numbers of second cancers by the expected number of cancers calculated from the accumulated person-years and the age-, sex-, calendar period-, and registry-specific first primary cancer incidence rates. Results: During the study period, 959 cases of second primary cancers occurred after an initial esophageal cancer, resulting in a SIR of 1.15 (95% confidence interval, 1.08-1.22). Second primary stomach cancers were associated with first primary esophageal adenocarcinomas (SIR, 2.13; 95% confidence interval, 1.26-3.37) and second primary cancers of the oral cavity and pharynx (6.68; 5.33-8.26), stomach (1.53; 1.14-2.01), larynx (3.24; 1.88-5.18), lung (1.55; 1.28-1.87), kidney (1.88; 1.18-2.85), and thyroid (2.92; 1.18-6.02) were associated with first primary squamous cell carcinomas of the esophagus. An excess of esophageal cancer as a second primary were observed following first primary cancers of the aerodigestive tract, female breast, cervix, testis, bladder, Hodgkin's lymphoma, and non–Hodgkin lymphoma. Conclusion: We observed associations of esophageal cancer with second primary head and neck cancers and lung cancer regardless of years of follow-up, which may suggest that common risk factors play a role in multiple tumor development. (Cancer Epidemiol Biomarkers Prev 2008;17(6):1543–9)
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2008
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  • 4
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 28, No. 7 ( 2019-07-01), p. 1238-1245
    Abstract: Pancreatic cancer is the fourth-leading cause of cancer death in both men and women in the United States. The currently identified common susceptibility loci account for a small fraction of estimated heritability. We sought to estimate overall heritability of pancreatic cancer and partition the heritability by variant frequencies and functional annotations. Methods: Analysis using the genome-based restricted maximum likelihood method (GREML) was conducted on Pancreatic Cancer Case-Control Consortium (PanC4) genome-wide association study (GWAS) data from 3,568 pancreatic cancer cases and 3,363 controls of European Ancestry. Results: Applying linkage disequilibrium- and minor allele frequency-stratified GREML (GREML-LDMS) method to imputed GWAS data, we estimated the overall heritability of pancreatic cancer to be 21.2% (SE = 4.8%). Across the functional groups (intronic, intergenic, coding, and regulatory variants), intronic variants account for most of the estimated heritability (12.4%). Previously identified GWAS loci explained 4.1% of the total phenotypic variation of pancreatic cancer. Mutations in hereditary pancreatic cancer susceptibility genes are present in 4% to 10% of patients with pancreatic cancer, yet our GREML-LDMS results suggested these regions explain only 0.4% of total phenotypic variance for pancreatic cancer. Conclusions: Although higher than previous studies, our estimated 21.2% overall heritability may still be downwardly biased due to the inherent limitation that the contribution of rare variants in genes with a substantive overall impact on disease are not captured when applying these commonly used methods to imputed GWAS data. Impact: Our work demonstrated the importance of rare and common variants in pancreatic cancer risk.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 5
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    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 29, No. 10 ( 2020-10-01), p. 2065-2069
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 29, No. 10 ( 2020-10-01), p. 2065-2069
    Abstract: Much of the heritable risk of renal cell carcinoma (RCC) associated with common genetic variation is unexplained. New analytic approaches have been developed to increase the discovery of risk variants in genome-wide association studies (GWAS), including multi-locus testing through pathway analysis. Methods: We conducted a pathway analysis using GWAS summary data from six previous scans (10,784 cases and 20,406 controls) and evaluated 3,678 pathways and gene sets drawn from the Molecular Signatures Database. To replicate findings, we analyzed GWAS summary data from the UK Biobank (903 cases and 451,361 controls) and the Genetic Epidemiology Research on Adult Health and Aging cohort (317 cases and 50,511 controls). Results: We identified 14 pathways/gene sets associated with RCC in both the discovery (P & lt; 1.36 × 10−5, the Bonferroni correction threshold) and replication (P & lt; 0.05) sets, 10 of which include components of the PI3K/AKT pathway. In tests across 2,035 genes in these pathways, associations (Bonferroni corrected P & lt; 2.46 × 10−5 in discovery and replication sets combined) were observed for CASP9, TIPIN, and CDKN2C. The strongest SNP signal was for rs12124078 (PDiscovery = 2.6 × 10−5; PReplication = 1.5 × 10−4; PCombined = 6.9 × 10−8), a CASP9 expression quantitative trait locus. Conclusions: Our pathway analysis implicates genetic variation within the PI3K/AKT pathway as a source of RCC heritability and identifies several promising novel susceptibility genes, including CASP9, which warrant further investigation. Impact: Our findings illustrate the value of pathway analysis as a complementary approach to analyzing GWAS data.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 6
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 19, No. 9 ( 2010-09-01), p. 2152-2163
    Abstract: Background: Childhood acute lymphoblastic leukemia (ALL) has been hypothesized to have an infection- and immune-related etiology. The lack of immune priming in early childhood may result in abnormal immune responses to infections later in life and increase ALL risk. Methods: The current analyses examined the association between childhood ALL and 208 single-nucleotide polymorphisms (SNP) of 29 adaptive immune function genes among 377 ALL cases and 448 healthy controls. Single SNPs were analyzed with a log-additive approach using logistic regression models adjusted for sex, age, Hispanic ethnicity, and race. Sliding window haplotype analyses were done with haplotypes consisting of 2 to 6 SNPs. Results: Of the 208 SNPs, only rs583911 of IL12A, which encodes a critical modulator of T-cell development, remained significant after accounting for multiple testing (odds ratio for each copy of the variant G allele, 1.52; 95% confidence interval, 1.25-1.85; P = 2.9 × 10−5). This increased risk was stronger among firstborn children of all ethnicities and among non-Hispanic children with less day care attendance, consistent with the hypothesis about the role of early immune modulation in the development of childhood ALL. Haplotype analyses identified additional regions of CD28, FCGR2, GATA3, IL2RA, STAT4, and STAT6 associated with childhood ALL. Conclusion: Polymorphisms of genes on the adaptive immunity pathway are associated with childhood ALL risk. Impact: Results of this study support an immune-related etiology of childhood ALL. Further confirmation is required to detect functional variants in the significant genomic regions identified in this study, in particular for IL12A. Cancer Epidemiol Biomarkers Prev; 19(9); 2152–63. ©2010 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 7
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. 1821-1821
    Abstract: Background The International Study on Embryonal Tumours (ISET) was initiated by epidemiologists and pediatric clinicians in 13 countries worldwide including 7 in Europe (UK, the Netherlands, Italy France, Serbia, Macedonia, Czech Republic), 3 in America (California USA, Canada, Brazil), and 3 in Asia / Oceania (India, Japan, and Australia), in collaboration with the International Agency for Research on Cancer. The study is focused on the etiology of non-CNS embryonal tumors which have been severely under-studied to date. Due to their rarity, past studies of these tumors have been underpowered and an international effort is required to accrue sufficient numbers of cases. The full study will include retinoblastoma, Wilms tumor, rhabdomyosarcoma, neuroblastoma and hepatoblastoma. Our main objective is to conduct a comprehensive study to investigate the effect of perinatal factors, molecular profiles and gene-environment interaction on the risk of these tumors. Methods This study is based on a case-control trio design, which has been shown to be a powerful design for genetic association and it is robust against the bias due to population stratification. For childhood cancer, the parent-child trio design is particularly appropriate as it can be used to study maternal-fetal effects and parent of origin such as imprinting. We collect information on parental environmental exposure history, medical and family history, as well as data on neonatal and infancy history of the index child by detailed interview with a standardized questionnaire. We obtain DNA samples from the trios. Tumor samples will also be collected in collaboration with clinical trials groups for disease characterization. We plan to investigate the effect of perinatal factors and incorporate molecular profiles of the trios such as epigenetic aberration, germline variation and DNA repair capacity, to conduct comprehensive investigations on gene-environment interactions. Results The pilot study of Wilms tumor and neuroblastoma has been launched in Australia, France, Czech Republic, Serbia, Macedonia and Canada in 2009 and 2010. The estimated number of patients to be recruited varies by study center and cancer site, with a total of approximately 1400 per year (including 640 Wilms tumor and 400 neuroblastoma). The participation rate for case trios is between 70-80%, and among the participating families, more than 95% are willing to provide biological samples. The results of the pilot study will be presented. The pilot results also indicate that the adjustment of study protocol and questionnaire to local requirement is necessary for multicenter study at international scale. Discussion ISET Investigators aim to improve the understanding of etiology and pathogenesis of these tumors, providing new tools for their prevention and control. Greater understanding of factors leading to the development of these tumors may improve surveillance, diagnosis, prognosis, and treatment of these childhood malignancies. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1821.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 8
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    Online Resource
    American Association for Cancer Research (AACR) ; 2010
    In:  Cancer Research Vol. 70, No. 8_Supplement ( 2010-04-15), p. LB-409-LB-409
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. LB-409-LB-409
    Abstract: Rare variants in CHEK2, checkpoint kinase 2, cell cycle control gene have been associated with various cancer sites including breast, prostate and colon cancer. Previously, two independent studies indicated a strong protective effect of CHEK2 mutations on the risk of lung and aero-digestive cancer but not kidney cancers (Brennan et al., 2007; Cybulski et al., 2008). We have conducted an independent case-control study to replicate these observed effects. 1202 cancer free controls, 481 individuals with primary lung cancer and 252 primary kidney cancer cases, all of Russian origin, were included in the study. All individuals were genotyped for the I157T variant (rs17879961) using Taqman. We also genotyped samples from the study published by Brennan et al. (2007) for three additional rare mutations found to be present in the central and eastern European population (1100delC, IVS2+1G & gt;A and the deletion of 5Kb (across exons 12 and 14)). We used logistic regression techniques to calculate odds ratios (ORs) and 95% confidence interval (95%CIs), adjusted for age, gender and pack-years of tobacco smoking. We additionally performed a meta-analysis of central and eastern European studies investigating lung and kidney cancer and CHEK2 mutations. Based on new data, the I157T rare variant showed a similar trend as in previous studies (OR = 0.78, 95%CI 0.43-1.40 for lung cancer and OR= 1.30, 95%CI 0.75-2.26 for kidney cancer). The combined OR for all three studies based on a fixed effects model indicated a strong protective effect of the CHEK2 I157T rare variant on the risk of lung cancer with OR of 0.43 (95%CI 0.35-0.53). The effect was stronger for squamous cell carcinoma (OR=0.21, 95%CI 0.12-0.37) and non significant for adenocarcinoma (OR=0.90, 95%CI 0.61-1.34). Results of meta-analysis on kidney cancer confirmed the previously observed increased risk effect of the CHEK2 I157T mutation with an OR of 1.38 (95%CI 1.04-1.82). Similar effects were observed for the combination of all mutations. Furthermore, haplotype analysis indicates that each mutation is characterized by unique extended haplotype consistent with the notion of a founder effect. The present study and performed meta-analysis confirmed previous opposing results for the effects of CHEK2 mutations on the risk of lung and kidney cancer. The mechanism for these inverse effects is unknown. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr LB-409.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
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  • 9
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    Online Resource
    American Association for Cancer Research (AACR) ; 2014
    In:  Cancer Research Vol. 74, No. 19_Supplement ( 2014-10-01), p. 884-884
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 19_Supplement ( 2014-10-01), p. 884-884
    Abstract: Lung cancer is the leading cause of cancer deaths worldwide. In 2008, 1.61 million new cases, and 1.38 million deaths due to lung cancer were recorded. This high mortality rate is mainly due to the late stage at which lung cancer is diagnosed. While early diagnosis has been successfully implemented through tomography-based population screenings in high-risk individuals, there is a need for simpler, non-invasive and more accessible methodologies for effective early cancer detection programs. Circulating microRNA (miRNA) profiles have been suggested as promising diagnostic and prognostic biomarkers for cancer, including lung cancer. However, the results have so far been inconsistent between studies. The objective of this study was to explore the potential of circulating miRNAs in plasma for early detection of lung cancer using global profiling approach. Plasma samples were collected from 100 early stage (I to IIIA) non-small-cell lung cancer patients (35 lung adenocarcinoma and 65 squamous cell carcinoma patients) and 100 age- and gender-matched healthy controls. 754 circulating miRNAs were analyzed via quantitative RT-PCR using TaqMan Low Density Arrays. Data were quantile normalized and limma analysis with adjustment for multiple testing to control for false discovery rate (FDR, Benjamini-Hochberg method) was performed to identify differentially regulated miRNA between cases and controls. Penalized Lasso logistic regression model (with penalty parameter tuning conducted by 10-fold cross-validation) was used to compute the least redundant panel of miRNAs for discriminating between cases and controls. The area under the receiver operating characteristic curve (AUC) was calculated to assess the discriminatory power of the model. Internal validation was conducted by calculating the bootstrap optimism-corrected AUC for the selected model. Sixty one plasma miRNAs were found to be significantly differentially expressed between lung cancer cases and controls including 33 upregulated and 28 downregulated miRNAs (p-value & lt; 0.05). Penalized Lasso logistic regression identified a panel of 24 miRNA having the optimum classification performance. Multiple logistic regression analysis showed that combination of the 24 miRNAs alone could discriminate lung cancer cases from healthy controls (AUC of 0.92). This classification improved to AUC of 0.94 following addition of gender, age at interview and smoking status to the model. Internal validation of the model using the bootstrap optimism corrected AUC suggests that the discriminatory power of the panel will be high when applied to independent samples (corrected AUC of 0.86 and for the 24-miRNA panel alone, 0.87 for the model including gender, age and smoking status). These results highlight the potential of circulating miRNA as biomarkers for lung cancer. Independent prospective validation of the clinical potential of the panel within a cohort with pre-diagnostic samples is warranted. Citation Format: Magdalena B. Wozniak, Ghislaine Scelo, David Muller, Anush Moukeria, David Zaridze, Paul Brennan. Circulating microRNAs as non-invasive biomarkers for early detection of lung cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 884. doi:10.1158/1538-7445.AM2014-884
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 22_Supplement_1 ( 2015-11-15), p. A1-31-A1-31
    Abstract: We investigated patient/tumor characteristics/inherited variants, hypoxia inducible factor 1 and 2 alpha (HIF1A/HIF2A) protein expression, and patient survival among Central European (CE) and United States (US) clear cell renal cancer (ccRCC) patients from two case-control studies. VHL inactivation, HIF1A, and HIF2A expression have been implicated in RCC and angiogenesis. GWAS studies have identified EPAS1 variants encoding the protein HIF2A associated with RCC risk. We conducted a hospital-based case-control study in Central/Eastern Europe (CE) and a population-based study in the US (Detroit, Chicago) that included whites and blacks. We used data on: i) patient/tumor characteristics, ii) inherited tagging single nucleotide polymorphisms (SNPs) in genes involved in the VHL-HIF pathway (HIF1A, EPAS1, VHL), HIF1A and HIF2A protein expression using immunohistochemical (IHC) methods, and survival from 696 CEERCC and 328 US ccRCC cases. ccRCC patients from CE Europe were older, presented at a higher grade, stage, with larger tumors, had lower BMI, less family history and smoked less (all p & lt;0.0001) compared to US cases. US cases demonstrated higher intensity HIF1A and HIF2A protein expression compared to CE cases (p & lt;0.0001). Black US ccRCC cases were more likely to be hypertensive (p & lt;0.0001) and have lower HIF2A protein expression compared to white US cases. HIF1A and HIF2A were examined for associations with patient/tumor characteristics. In the US study, younger patients had higher levels of HIF2A expression compared to older cases and high BMI was associated with HIF1A expression. In both studies, tumor grade, stage and size at diagnosis were associated with lower HIF1A and HIF2A expression. In analyses adjusted for center, race, sex, age, hypertension, BMI, smoking, tumor grade and stage, HIF1A expression was significantly associated with HIF2A expression (P-trend & lt;0.0001). We assessed associations of variants in EPAS1 (N=16), HIF1A (N=11), and VHL (N=9) with HIF1A and HIF2A expression in ccRCC tissue using tissue microarrays. Seven HIF1A SNPs were significantly associated with HIF1A expression and one EPAS1 SNP (rs1374748) with HIF2A expression. Median survival time was longer in CE compared to USRCC cases (100.3 vs. 86.0 months, p=0.001), women than men (97.1 vs 91.0 months, p=0.02) but similar among whites and blacks in the US study (86.0 vs 87.0 months). In Cox proportional hazard models, in both studies combined, risk of death was higher for those with large tumors ( & gt;4cm, p & lt;0.0001) and with a higher stage 1 vs 2, 3+4 (p & lt;0.0001, both) In contrast, ccRCC-specific survival was higher among USRCC than CE patients (19.8 vs 38.0 months, p=0.04) but similar among white compared to black US ccRCC patients (37.0 vs 40.0 months, p=0.50). Citation Format: Lee Moore, Petra Lenz, Meredith Yeager, Ruth Pfeiffer, Ghislaine Scelo, Mark Purdue, David Zaridze, Kendra Schwartz, Neonilia szeszenia-Dabrowska, Faith Davis, Joanne Colt, vladimir Janout, Marie Navritalova, Paolo Boffetta, Laurie Burdette, Sara Karami, Paul Brennan, Jon Hofmann, Michael Nickerson, Wong-Ho Chow, Margaret Tucker, Stephen Chanock, Stephen Hewitt, Jorge Toro, Nat Rothman. Molecular characteristics and predictors of poor prognosis in sporadic clear cell renal cancer among central/eastern European and United States patients. [abstract] . In: Proceedings of the AACR Special Conference on Translation of the Cancer Genome; Feb 7-9, 2015; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2015;75(22 Suppl 1):Abstract nr A1-31.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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