Gierach Gretchen L, Yang Xiaohong R, Figueroa Jonine D, Sherman Mark E
National Cancer Institute, Division of Cancer Epidemiology and Genetics, Hormonal and Reproductive Epidemiology Branch, 6120 Executive Blvd., Rockville, MD 20852-7234; ;
National Cancer Institute, Division of Cancer Epidemiology and Genetics, Genetic Epidemiology Branch, 6120 Executive Blvd., Rockville, MD 20852-7234;
Curr Obstet Gynecol Rep. 2013 Mar;2(1):43-52. doi: 10.1007/s13669-012-0034-3.
Developing improved methods for breast cancer risk prediction could facilitate the targeting of interventions to women at highest risk, thereby reducing mortality, while sparing low-risk women the costs and inconvenience of unnecessary testing and procedures. However, currently available risk assessment tools fall short of achieving accurate individual risk prediction, precluding implementation of this approach. Improving these tools will require the identification of new methods of assessing risk and increasing the accuracy of existing risk indicators. We review four emerging topics that may have importance for breast cancer risk assessment: etiological heterogeneity, genetic susceptibility, mammographic breast density and assessment of breast involution.
开发改进的乳腺癌风险预测方法有助于将干预措施针对风险最高的女性,从而降低死亡率,同时避免低风险女性承受不必要检测和程序带来的成本和不便。然而,目前可用的风险评估工具未能实现准确的个体风险预测,阻碍了这种方法的实施。改进这些工具需要识别评估风险的新方法并提高现有风险指标的准确性。我们综述了四个可能对乳腺癌风险评估具有重要意义的新兴主题:病因异质性、遗传易感性、乳腺钼靶密度和乳腺 involution 的评估。