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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National Institutes of Health1, German Cancer Research Center2, Duke University3, Fred Hutchinson Cancer Research Center4, New York University5, City of Hope National Medical Center6, Harvard University7, Brigham and Women's Hospital8, International Agency for Research on Cancer9, Loma Linda University10, American Cancer Society11, Cancer Council Victoria12, Monash University, Clayton campus13, University of Melbourne14, University of Tromsø15, University of Washington16, Johns Hopkins University17, Umeå University18, Institute of Cancer Research19, University of Toronto20, Université Paris-Saclay21, Institut Gustave Roussy22, Utrecht University23, Aarhus University24, University of Minnesota25, Imperial College London26, George Washington University27, Albert Einstein College of Medicine28, Maastricht University29, University of Southern California30, Cancer Epidemiology Unit31, University of Hawaii32, Karolinska Institutet33, Uppsala University34
TL;DR: The consistency and linearity of effects strongly support the hypothesis that each ovulation leads to small increases in the risk of most ovarian cancers, a risk which cumulates through life, suggesting this as an important area for identifying intervention strategies.
Abstract: Repeated exposure to the acute proinflammatory environment that follows ovulation at the ovarian surface and distal fallopian tube over a woman's reproductive years may increase ovarian cancer risk. To address this, analyses included individual-level data from 558,709 naturally menopausal women across 20 prospective cohorts, among whom 3,246 developed invasive epithelial ovarian cancer (2,045 serous, 319 endometrioid, 184 mucinous, 121 clear cell, 577 other/unknown). Cox models were used to estimate multivariable-adjusted HRs between lifetime ovulatory cycles (LOC) and its components and ovarian cancer risk overall and by histotype. Women in the 90th percentile of LOC (>514 cycles) were almost twice as likely to be diagnosed with ovarian cancer than women in the 10th percentile (<294) [HR (95% confidence interval): 1.92 (1.60-2.30)]. Risk increased 14% per 5-year increase in LOC (60 cycles) [(1.10-1.17)]; this association remained after adjustment for LOC components: number of pregnancies and oral contraceptive use [1.08 (1.04-1.12)]. The association varied by histotype, with increased risk of serous [1.13 (1.09-1.17)], endometrioid [1.20 (1.10-1.32)], and clear cell [1.37 (1.18-1.58)], but not mucinous [0.99 (0.88-1.10), P-heterogeneity = 0.01] tumors. Heterogeneity across histotypes was reduced [P-heterogeneity = 0.15] with adjustment for LOC components [1.08 serous, 1.11 endometrioid, 1.26 clear cell, 0.94 mucinous]. Although the 10-year absolute risk of ovarian cancer is small, it roughly doubles as the number of LOC rises from approximately 300 to 500. The consistency and linearity of effects strongly support the hypothesis that each ovulation leads to small increases in the risk of most ovarian cancers, a risk that cumulates through life, suggesting this as an important area for identifying intervention strategies. SIGNIFICANCE: Although ovarian cancer is rare, risk of most ovarian cancers doubles as the number of lifetime ovulatory cycles increases from approximately 300 to 500. Thus, identifying an important area for cancer prevention research.
28 citations
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28 citations
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TL;DR: Greater physical activity is associated with a reduction in breast cancer risk, which appears to be independent of any association it may have on risk through its effects on adiposity.
Abstract: Previous studies suggest a protective role of physical activity in breast cancer risk, largely based on self-reported activity. We aimed to clarify this association by examining breast cancer risk in relation to self-reported physical activity, informed by accelerometer-based measures in a large subset of participants. We analysed data from 47,456 premenopausal and 126,704 postmenopausal women in UK Biobank followed from 2006 to 2014. Physical activity was self-reported at baseline, and at resurvey in a subsample of 6443 participants. Accelerometer data, measured from 2013 to 2015, were available in 20,785 women. Relative risks (RRs) and 95% confidence intervals (CIs) were calculated by using multivariable-adjusted Cox regression. A total of 3189 cases were diagnosed during follow-up (mean = 5.7 years). Women in the top compared with the bottom quartile of self-reported physical activity had a reduced risk of both premenopausal (RR 0.75; 95% CI 0.60–0.93) and postmenopausal breast cancer (RR 0.87; 95% CI 0.78–0.98), after adjusting for adiposity. In analyses utilising physical activity values assigned from accelerometer measurements, an increase of 5 milli-gravity was associated with a 21% (RR 0.79; 95% CI 0.66–0.95) reduction in premenopausal and a 16% (RR 0.84; 95% CI 0.73–0.96) reduction in postmenopausal breast cancer risk. Greater physical activity is associated with a reduction in breast cancer risk, which appears to be independent of any association it may have on risk through its effects on adiposity.
28 citations
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28 citations
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TL;DR: The observed decrements in marriage in men and women and fertility in women suggest that efforts should be made to improve the recovery from physical and psychological traumas related to diagnosis and treatment of cancer.
Abstract: The majority of childhood cancer cases survive to adulthood. We describe the experience of marriage and reproduction as indicators of quality of life, in a population-based cohort of adult long-term survivors after early cancer reported to the Childhood Cancer Registry of Piedmont. The study include
28 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 |