Breast cancer is a multifactorial condition, and changes in cellular biology are affected by a large number of variables known to affect an individual's susceptibility to this malignancy. Current risk prediction models are based on combinations of risk factors and have good predictive but low discriminatory power. Risk estimation might be improved by incorporating additional factors into risk prediction models, which will allow better determination of breast cancer risk and provide new targets for preventive therapies.
- Anthony Howell
- Andrew H Sims
- Robert B Clarke