A. Gaps in risk estimation |
A1. The best standard model to estimate risk in the general population and in women at high risk |
A2. What additional factors will give maximal improvement in a model? |
A3. Prediction of risk in the proportion of women with none of the current risk factors |
B. Gaps in preventive therapy and lifestyle prevention |
B1. Prediction of women who will benefit from current preventive therapy |
B2. New agents for women who will not benefit from current preventive therapy |
B3. Optimal measures for weight control and exercise: timings of this in the life course, who to target, and type of interventions |
C. Gaps in understanding the biology of breast cancer risk |
C1. Mechanisms of the effects of pregnancy on risk |
C2. Mechanism of the lack of involution in some breasts with menopause? |
C3. Mechanism of energy restriction on reduction of risk |
D. Gaps in implementing known preventive measures |
D1. Determination of the approximately 10% of women at high and moderate risk in populations |
D2. How to make preventive therapy available to the subset of women who will benefit |
D3. Optimal weight control and exercise programs for women at any age and in all countries and how we engage individuals in cancer prevention throughout the life course |