癌症流行病学在癌症预防中的多维作用:发现科学和超越

Amy Berrington De Gonzalez, Marc J Gunter, Mary K Schubauer-Beriganl, Montserrat Garcia-Closas
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摘要

流行病学在确定癌症病因方面的关键作用是公认的。然而,在这种鉴定之后,将这些发现转化为癌症预防通常需要进一步的流行病学研究。癌症流行病学在接下来的步骤和癌症预防的其他方面的作用,可能还没有得到很好的认识。在此,我们描述了癌症流行病学在癌症预防中的多维作用框架,包括:1)危害识别;2)风险评估;3)了解自然历史;4)评估预防的生物学靶点。所需的方法将根据预防战略的类型而有所不同。例如,一级预防通常需要确定危害并进行风险评估和/或负担估计,而二级预防则需要研究疾病的自然史。我们描述了用于解决这四个维度的流行病学研究设计的类型以及新方法在其成功中的作用。我们用五个例子来说明这一点:职业辐射暴露,更年期激素治疗,全氟和多氟烷基物质,肥胖和肺部CT筛查。这些例子表明,该框架如何在癌症预防的背景下提供了一种系统的方法来定义研究问题和解释结果。这种对癌症流行病学领域的更广泛的看法也需要更广泛的成功衡量标准,而不仅仅是发现原因和估计人口归因部分,还要减少有害接触,并最终降低受影响人群中的癌症发病率和死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The multi-dimensional role of cancer epidemiology in cancer prevention: discovery science and beyond
The pivotal role of epidemiology in the identification of the causes of cancer is well recognised. 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 other aspects of cancer prevention, is perhaps, less well appreciated. Here we describe a framework for the multi-dimensional 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 four dimensions and the role of novel methods in their success. We illustrate this with five examples: occupational radiation exposure, menopausal hormone therapy, per- and polyfluoroalkyl substances, obesity and lung CT 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 of cancer incidence and mortality in the affected populations.
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