How to Prescribe MHT According to the Risk of Breast Cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Engineering
Link
http://link.springer.com/content/pdf/10.1007/s13669-014-0100-0.pdf
Reference37 articles.
1. Armstrong AC, Evans GD. Management of women at high risk of breast cancer. BMJ. 2014;348:g2756. This review defines who is at high risk of breast cancer and outlines the management options.
2. Santen RJ, Yue W, Heitjan DF. Occult breast tumor reservoir: biological properties and clinical significance. Horm Cancer. 2013;4:195–207. Mathematical models were applied to interpret the promoter effects of MHTon pre-existing, occult lesions and minimally initiated de novo tumors.
3. Moolgavkar SH. Hormones and multistage carcinogenesis. Cancer Surv. 1986;5:635–48. This paper has calculated the lag time for breast cacner for the first time and howed the necessity of several sequential events to progress from a normal state to cancer.
4. Santen RJ, Yue W, Heitjan DF. Modeling of the growth kinetics of occult breast tumors: role in interpretation of studies of prevention and menopausal hormone therapy. Cancer Epidemiol Biomarkers Prev. 2012;21:1038–48. This paper shows the development of the mathematical models used for Santen et al. [2].
5. Boyd NF, Martin LJ, Yaffe MJ, Minkin S. Mammographic density and breast cancer risk: current understanding and future prospects. Breast Cancer Res 2011;13:223. A review on the contribution of this group on the role of breast density as a risk factor for breast cancer.
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