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However, after this identification, the translation of those findings into cancer prevention typically requires further epidemiological research. The role of cancer epidemiology in these next steps and in other aspects of cancer prevention is perhaps less well appreciated. Here we describe a framework for the multidimensional role of cancer epidemiology in cancer prevention including (1) hazard identification, (2) risk assessment, (3) understanding natural history, and (4) evaluating biological targets for prevention. The approaches required will vary depending on the type of prevention strategy. For example, primary prevention will usually require hazard identification and risk assessment and\/or burden estimation, whereas secondary prevention will require studies of the natural history of disease. We describe the types of epidemiological study designs that are used to address these 4 dimensions and the role of novel methods in their success. We illustrate this with 5 examples: occupational radiation exposure, menopausal hormone therapy, per- and polyfluoroalkyl substances, obesity, and lung computed tomography screening. These examples show how the framework provides a systematic approach to define research questions and interpret results in the context of cancer prevention. This broader view of the field of cancer epidemiology also requires broader measures of success that go beyond the discovery of causes and estimates of population attributable fractions through to reductions of harmful exposures and eventually lowering cancer incidence and mortality in the affected populations.<\/jats:p>","DOI":"10.1093\/jnci\/djaf200","type":"journal-article","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T11:42:19Z","timestamp":1753443739000},"page":"18-25","source":"Crossref","is-referenced-by-count":4,"title":["The multidimensional role of cancer epidemiology in cancer prevention: discovery science and beyond"],"prefix":"10.1093","volume":"118","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7332-8387","authenticated-orcid":false,"given":"Amy","family":"Berrington de Gonzalez","sequence":"first","affiliation":[{"name":"Division of Genetics and Epidemiology, The Institute of Cancer Research , London,","place":["United Kingdom"]},{"name":"The 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