Institution
Cancer Epidemiology Unit
About: Cancer Epidemiology Unit is a based out in . It is known for research contribution in the topics: Population & Cancer. The organization has 669 authors who have published 1725 publications receiving 93979 citations.
Topics: Population, Cancer, Breast cancer, European Prospective Investigation into Cancer and Nutrition, Prospective cohort study
Papers published on a yearly basis
Papers
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International Agency for Research on Cancer1, Emory University2, National and Kapodistrian University of Athens3, University of Bonn4, German Cancer Research Center5, Academy of Athens6, Harvard University7, Icahn School of Medicine at Mount Sinai8, Aarhus University Hospital9, South University10, French Institute of Health and Medical Research11, Imperial College London12, Prevention Institute13, University Medical Center Utrecht14, University of Tromsø15, University of Oslo16, Andalusian School of Public Health17, Umeå University18, Lund University19, Cancer Epidemiology Unit20, University of Cambridge21
TL;DR: In this large European cohort, total fish intake is associated with lower HCC risk and this inverse association was also suggested after adjusting for HBV/HCV status and liver function score.
75 citations
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TL;DR: The very similar risk factor profiles observed here for DCIS and invasive ductal cancer suggest that DCIS is a precursor of invasiveuctal cancer and most risk factors affect the risk of invasiveductal cancer primarily through their effects on therisk of DCIS.
Abstract: Little is known about the etiology of in situ ductal breast cancer (DCIS) or what influences its possible progression to invasive ductal disease. Comparison of risk factors for DCIS and invasive ductal cancer may throw some light on these issues. We estimated relative risks for DCIS and invasive ductal breast cancer according to 12 genetic and eight environmental risk factors among 1.1 million postmenopausal women in a large prospective UK study. There was no strong evidence of a different association with DCIS versus invasive ductal cancer for any of the 12 susceptibility loci examined. We also found similar associations of age at menarche, age at first birth, parity, age at menopause, family history of breast cancer and use of hormone replacement therapy with DCIS and invasive ductal cancer. Only body mass index (BMI) showed a clear difference in association in that it was positively associated with the risk of invasive ductal cancer but not DCIS (RRs per 5 kg/m(2) = 1.20 and 1.01, respectively; p-value for heterogeneity = 0.002). The very similar risk factor profiles observed here for DCIS and invasive ductal cancer suggest that DCIS is a precursor of invasive ductal cancer and most risk factors affect the risk of invasive ductal cancer primarily through their effects on the risk of DCIS. The lack of association between BMI and DCIS suggests a greater influence of BMI on disease progression.
75 citations
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University of Texas Health Science Center at Houston1, National Institutes of Health2, George Washington University3, University of Bristol4, University College London5, Massachusetts Institute of Technology6, Imperial College London7, Pompeu Fabra University8, University of California, San Diego9, International Agency for Research on Cancer10, Wake Forest University11, Stanford University12, Brigham and Women's Hospital13, Harvard University14, King's College London15, University of Cambridge16, University of Hawaii17, Ohio State University18, University of British Columbia19, Oregon Health & Science University20, Boston University21, Oswaldo Cruz Foundation22, St Thomas' Hospital23, University of Edinburgh24, Albert Einstein College of Medicine25, National University of Singapore26, Duke University27, Vanderbilt University28, National Institute for Health Research29, Örebro University30, Cancer Epidemiology Unit31, Huntsman Cancer Institute32, University of Texas MD Anderson Cancer Center33
TL;DR: Comparing metabolomics platforms used by COMETS cohorts showed that the overlap between any 2 different laboratories ranged from 6 to 121 metabolites at 5 leading laboratories, and the median Spearman correlation comparing 111 overlapping metabolites captured by Metabolon and the Broad Institute was 0.79.
Abstract: The Consortium of Metabolomics Studies (COMETS) was established in 2014 to facilitate large-scale collaborative research on the human metabolome and its relationship with disease etiology, diagnosis, and prognosis. COMETS comprises 47 cohorts from Asia, Europe, North America, and South America that together include more than 136,000 participants with blood metabolomics data on samples collected from 1985 to 2017. Metabolomics data were provided by 17 different platforms, with the most frequently used labs being Metabolon, Inc. (14 cohorts), the Broad Institute (15 cohorts), and Nightingale Health (11 cohorts). Participants have been followed for a median of 23 years for health outcomes including death, cancer, cardiovascular disease, diabetes, and others; many of the studies are ongoing. Available exposure-related data include common clinical measurements and behavioral factors, as well as genome-wide genotype data. Two feasibility studies were conducted to evaluate the comparability of metabolomics platforms used by COMETS cohorts. The first study showed that the overlap between any 2 different laboratories ranged from 6 to 121 metabolites at 5 leading laboratories. The second study showed that the median Spearman correlation comparing 111 overlapping metabolites captured by Metabolon and the Broad Institute was 0.79 (interquartile range, 0.56-0.89).
75 citations
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TL;DR: The overall survival showed marked improvements for successive birth cohorts, particularly at young ages, and the only condition with a significantly raised mortality ratio was colo‐rectal cancer, but this may well be a chance finding.
Abstract: A cohort study of 1425 persons with Down's syndrome (DS), and of their parents (447 mothers, 435 fathers) and siblings (1176), was set up to investigate death rates from various causes and cancer incidence patterns. In individuals with DS the all-cause death rate was six times that of the national population (SMR = 622: 95% CI 559-693), the excess being attributable to many different causes. These included: leukaemia (SMR = 1304: 95% CI 651-2334); diabetes mellitus (SMR = 982: 95% CI 267-2515); Alzheimer's disease (SMR = 22028: 95% CI 7137-51326); epilepsy (SMR = 1727: 95% CI 744-3403); and congenital anomalies (SMR = 4987: 95% CI 4175-5955). The overall survival showed marked improvements for successive birth cohorts, particularly at young ages. For mothers and fathers of persons with DS, all-cause death rates were 20% lower than national rates and there were no significant excesses from any specific cause. For siblings, all-cause death rates were similar to national rates; the only condition with a significantly raised mortality ratio was colo-rectal cancer (SMR = 793: 95% CI 216-2031), but this may well be a chance finding.
74 citations
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TL;DR: The study provides clear evidence that aspirin is unrelated to renal‐cell cancer risk, and the hypothesis that analgesics containing phenacetin or paracetamol increase the risk is not supported, although the number of “regular” users and the amount of these types of analgesic consumed were too small to confidently rule out a minor carcinogenic effect of Phenacetin and paracetemol.
Abstract: There has been concern about the role of analgesics in the development of renal-cell cancer, although a few studies have reported moderately elevated risks with regular or long-term use. In a large ...
74 citations
Authors
Showing all 669 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard Peto | 183 | 683 | 231434 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Silvia Franceschi | 155 | 1340 | 112504 |
Timothy J. Key | 146 | 808 | 90810 |
Hans-Olov Adami | 145 | 908 | 83473 |
Alicja Wolk | 135 | 778 | 66239 |
Paolo Vineis | 134 | 1088 | 86608 |
Lars Klareskog | 131 | 697 | 63281 |
Eva Negri | 129 | 1010 | 66735 |
John A. Baron | 128 | 609 | 61182 |
Jack Cuzick | 128 | 754 | 79979 |
Anders Ekbom | 116 | 613 | 51430 |
C. La Vecchia | 115 | 817 | 53460 |
Valerie Beral | 114 | 471 | 53729 |
Carlo La Vecchia | 112 | 1265 | 56282 |