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Title:
Estimating age-specific breast cancer risks: a descriptive tool to identify age interactions | Cancer Causes & Control
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Objective Clarifying age-specific female breast cancer risks and interactions may provide important etiologic clues. Method Using a population-based case–control study in Poland (2000–2003) of 2,386 incident breast cancer cases and 2,502 control subjects aged 25–74 years, we estimated age-specific breast cancer incidence rates according to risk factors. Results Breast cancer risks were elevated among women with positive family history (FH), younger age at menarche, older age at first full-term birth, nulliparity, exogenous hormonal usage, and reduced physical activity (PA). Notwithstanding overall risks, we observed statistically significant quantitative (non-crossover) and qualitative (crossover) age interactions for all risk factors except for FH and PA. For example, nulliparity compared to parity reduced breast cancer risk among women ages 25–39 years then rates crossed or reversed, after which nulliparity increased relative risks among women ages 40–74 years. Conclusion Though quantitative age interactions could be expected, qualitative interactions were somewhat counterintuitive. If confirmed in other populations, qualitative interactions for a continuous covariate such as age will be difficult to reconcile in a sequential (multistep or monolithic) ‘stochastic’ breast cancer model. Alternatively, the reversal of relative risks among younger and older women suggests subgroup heterogeneity with different etiologic mechanisms for early-onset and late-onset breast cancer types.
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Keywords {🔍}
cancer, breast, google, scholar, pubmed, article, cas, risk, age, women, factors, risks, anderson, interactions, data, research, control, brinton, study, hormonal, access, natl, inst, institute, privacy, cookies, content, agespecific, lissowska, epidemiol, collaborative, med, epidemiology, author, publish, search, william, matsuno, jolanta, gail, chatterjee, years, rates, results, activity, qualitative, relative, related, res, health,
Topics {✒️}
population-based case–control study beata peplonska case–control studies month download article/chapter relative risks dhhs/nih/nci/dceg neonila szeszenia-dąbrowska marie sklodowska-curie institute jolanta lissowska author correspondence node-negative breast cancer alicja bardin-mikolajczak nurses’ health study age-specific mortality swedish population full article pdf relative risk female breast cancer check access instant access cancer statistics branch developing breast cancer national cancer institute privacy choices/manage cookies breast cancer heterogeneity based full term pregnancy identify age interactions breast cancer risk full-term birth misclassification bias related �breast tissue age hormone receptor expression related subjects risks quantitative age interactions polygenic risk score intramural research program �hormonal’ risk factors article cancer reduced physical activity european economic area witold zatonski postulated underlying biology body mass index projecting individualized probabilities november 2004 submission hormone replacement therapy risk factor status article anderson
Questions {❓}
- Anderson WF, Althuis MD, Brinton LA, Devesa SS (2004) Is male breast cancer similar or different than female breast cancer?
- Anderson WF, Matsuno RK (2006) Breast cancer heterogeneity: a mixture of at least two main types?
- Colditz GA, Rosner BA (2006) What can be learnt from models of incidence rates?
- Do they differ according to age at diagnosis?
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headline:Estimating age-specific breast cancer risks: a descriptive tool to identify age interactions
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Absolute risks
Relative risks
Odds ratio
Rate ratios
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Epidemiology
Hematology
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name:Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Rockville, USA
name:Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Rockville, USA
name:Nofer Institute of Occupational Medicine, Łódź, Poland
name:Department of Cancer Epidemiology and Prevention, Cancer Center and Marie Sklodowska-Curie Institute of Oncology, Warsaw, Poland
name:Department of Cancer Epidemiology and Prevention, Cancer Center and Marie Sklodowska-Curie Institute of Oncology, Warsaw, Poland
name:Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Rockville, USA
name:Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Rockville, USA
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