Institution
International Agency for Research on Cancer
Government•Lyon, France•
About: International Agency for Research on Cancer is a government organization based out in Lyon, France. It is known for research contribution in the topics: Cancer & Population. The organization has 2989 authors who have published 9010 publications receiving 929752 citations. The organization is also known as: IARC.
Topics: Cancer, Population, Breast cancer, Risk factor, European Prospective Investigation into Cancer and Nutrition
Papers published on a yearly basis
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870 citations
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International Agency for Research on Cancer1, Catholic University of the Sacred Heart2, Fred Hutchinson Cancer Research Center3, Universidade Federal do Rio Grande do Sul4, University of São Paulo5, National Institutes of Health6, Brown University7, Harvard University8, Oswaldo Cruz Foundation9, University of Milan10, Pennsylvania State University11, University of Lausanne12, University of Buenos Aires13, Universidade Federal de Pelotas14, Boston University15, University of North Carolina at Chapel Hill16, University of Iowa17, University of Texas MD Anderson Cancer Center18, Nofer Institute of Occupational Medicine19, Russian Academy20, Medical University of Warsaw21, University of California, Los Angeles22
TL;DR: It is confirmed that the joint effect between tobacco and alcohol use is greater than multiplicative on head and neck cancer risk, however, a substantial proportion of head and head cancers cannot be attributed to tobacco or alcohol use, particularly for oral cavity cancer and for head andneck cancer among women and among young-onset cases.
Abstract: Background: The magnitude of risk conferred by the interaction between tobacco and alcohol use on the risk of head and neck cancers is not clear because studies have used various methods to quantify the excess head and neck cancer burden. Methods: We analyzed individual-level pooled data from 17 European and American case-control studies (11,221 cases and 16,168 controls) participating in the International Head and Neck Cancer Epidemiology consortium. We estimated the multiplicative interaction parameter ( ψ ) and population attributable risks (PAR). Results: A greater than multiplicative joint effect between ever tobacco and alcohol use was observed for head and neck cancer risk ( ψ = 2.15; 95% confidence interval, 1.53-3.04). The PAR for tobacco or alcohol was 72% (95% confidence interval, 61-79%) for head and neck cancer, of which 4% was due to alcohol alone, 33% was due to tobacco alone, and 35% was due to tobacco and alcohol combined. The total PAR differed by subsite (64% for oral cavity cancer, 72% for pharyngeal cancer, 89% for laryngeal cancer), by sex (74% for men, 57% for women), by age (33% for cases 60 years), and by region (84% in Europe, 51% in North America, 83% in Latin America). Conclusions: Our results confirm that the joint effect between tobacco and alcohol use is greater than multiplicative on head and neck cancer risk. However, a substantial proportion of head and neck cancers cannot be attributed to tobacco or alcohol use, particularly for oral cavity cancer and for head and neck cancer among women and among young-onset cases. (Cancer Epidemiol Biomarkers Prev 2009;18(2):541–50)
858 citations
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TL;DR: The complete SEQC data sets, comprising >100 billion reads, provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings, and measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling.
Abstract: We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for junction discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At all sequencing depths, we discover unannotated exon-exon junctions, with >80% validated by qPCR. We find that measurements of relative expression are accurate and reproducible across sites and platforms if specific filters are used. In contrast, RNA-seq and microarrays do not provide accurate absolute measurements, and gene-specific biases are observed for all examined platforms, including qPCR. Measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling. The complete SEQC data sets, comprising >100 billion reads (10Tb), provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings.
853 citations
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International Agency for Research on Cancer1, French Institute of Health and Medical Research2, Fred Hutchinson Cancer Research Center3, Universidade Federal do Rio Grande do Sul4, National Institutes of Health5, Oswaldo Cruz Foundation6, University of Milan7, Pennsylvania State University8, University of Lausanne9, University of Buenos Aires10, Universidade Federal de Pelotas11, University of São Paulo12, University of North Carolina at Chapel Hill13, University of Iowa14, University of Texas MD Anderson Cancer Center15, Nofer Institute of Occupational Medicine16, Russian Academy17, University of California, Los Angeles18
TL;DR: The results represent the most precise estimates available of the independent association of each of the two main risk factors of head and neck cancer, and they exemplify the strengths of large-scale consortia in cancer epidemiology.
Abstract: Background At least 75% of head and neck cancers are attributable to a combination of cigarette smoking and alcohol drinking. A precise understanding of the independent association of each of these factors in the absence of the other with the risk of head and neck cancer is needed to elucidate mechanisms of head and neck carcinogenesis and to assess the efficacy of interventions aimed at controlling either risk factor. Methods We examined the extent to which head and neck cancer is associated with cigarette smoking among never drinkers and with alcohol drinking among never users of tobacco. We pooled individual-level data from 15 case – control studies that included 10 244 head and neck cancer case subjects and 15 227 control subjects, of whom 1072 case subjects and 5775 control subjects were never users of tobacco and 1598 case subjects and 4051 control subjects were never drinkers of alcohol. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression models. All statistical tests were two-sided. Results Among never drinkers, cigarette smoking was associated with an increased risk of head and neck cancer (OR for ever versus never smoking = 2.13, 95% CI = 1.52 to 2.98), and there were clear dose – response relationships for the frequency, duration, and number of pack-years of cigarette smoking. Approximately 24% (95% CI = 16% to 31%) of head and neck cancer cases among nondrinkers in this study would have been prevented if these individuals had not smoked cigarettes. Among never users of tobacco, alcohol consumption was associated with an increased risk of head and neck cancer only when alcohol was consumed at high frequency (OR for three or more drinks per day versus never drinking = 2.04, 95% CI = 1.29 to 3.21). The association with high-frequency alcohol intake was limited to cancers of the oropharynx/hypopharynx and larynx. Conclusions Our results represent the most precise estimates available of the independent association of each of the two main risk factors of head and neck cancer, and they exemplify the strengths of large-scale consortia in cancer epidemiology. J Natl Cancer Inst 2007;99: 777 – 89
849 citations
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TL;DR: The complete coding sequence and exonic structure of BRCA2 is determined, and its pattern of expression is examined, and a mutational analysis of B RCA2 in families selected on the basis of linkage analysis and/or the presence of one or more cases of male breast cancer is reported.
Abstract: Breast carcinoma is the most common malignancy among women in developed countries. Because family history remains the strongest single predictor of breast cancer risk, attention has focused on the role of highly penetrant, dominantly inherited genes in cancer-prone kindreds. BRCA1 was localized to chromosome 17 through analysis of a set of high-risk kindreds, and then identified four years later by a positional cloning strategy. BRCA2 was mapped to chromosomal 13q at about the same time. Just fifteen months later, Wooster et al. reported a partial BRCA2 sequence and six mutations predicted to cause truncation of the BRCA2 protein. While these findings provide strong evidence that the identified gene corresponds to BRCA2, only two thirds of the coding sequence and 8 out of 27 exons were isolated and screened; consequently, several questions remained unanswered regarding the nature of BRCA2 and the frequency of mutations in 13q-linked families. We have now determined the complete coding sequence and exonic structure of BRCA2 (GenBank accession #U43746), and examined its pattern of expression. Here, we provide sequences for a set of PCR primers sufficient to screen the entire coding sequence of BRCA2 using genomic DMA. We also report a mutational analysis of BRCA2 in families selected on the basis of linkage analysis and/or the presence of one or more cases of male breast cancer. Together with the specific mutations described previously, our data provide preliminary insight into the BRCA2 mutation profile.
848 citations
Authors
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Name | H-index | Papers | Citations |
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David J. Hunter | 213 | 1836 | 207050 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Elio Riboli | 158 | 1136 | 110499 |
Silvia Franceschi | 155 | 1340 | 112504 |
Stephen J. Chanock | 154 | 1220 | 119390 |
Paolo Boffetta | 148 | 1455 | 93876 |
Timothy J. Key | 146 | 808 | 90810 |
Hans-Olov Adami | 145 | 908 | 83473 |
Joseph J.Y. Sung | 142 | 1240 | 92035 |
Heiner Boeing | 140 | 1024 | 92580 |
Anne Tjønneland | 139 | 1345 | 91556 |
Kim Overvad | 139 | 1196 | 86018 |
Sheila Bingham | 136 | 519 | 67332 |
Pasi A. Jänne | 136 | 685 | 89488 |
Peter Kraft | 135 | 821 | 82116 |