Double trouble: exploring risk factors to better predict contralateral breast cancer

Abstract

Due to the increased incidence of breast cancer and improved survival, more women are at risk of developing contralateral breast cancer (CBC). The aim of this thesis was to explore risk factors associated with CBC. We observed significant associations for a polygenic risk score of common germline variants (PRS313) and for different adjuvant systemic therapy regimens with (subtype-specific) CBC risk. These factors may be incorporated in CBC risk prediction models together with other known and available risk factors. For support of clinical decision making more biological information is needed to understand CBC development in women with invasive breast cancer and DCIS. As a first step towards implementation of a risk prediction model, we performed an exploratory interview study, which showed that patients had varying preferences for graphical presentation of probabilities in a CBC prediction model. In future studies, the prediction model should be incorporated in a decision support tool and implemented in clinical practice. This tool can then help to better identify women at high risk of CBC who may benefit from prophylactic surgery, while the estimates can also be used to reassure patients who are at low risk of developing CBC.