Cancer Epidemiol Biomarkers Prev
January 2025
Importance: Increasing numbers of unaffected individuals could benefit from genetic evaluation for inherited cancer susceptibility. Automated conversational agents (ie, chatbots) are being developed for cancer genetics contexts; however, randomized comparisons with standard of care (SOC) are needed.
Objective: To examine whether chatbot and SOC approaches are equivalent in completion of pretest cancer genetic services and genetic testing.
Importance: Few studies have investigated whether the associations between pregnancy-related factors and breast cancer (BC) risk differ by underlying BC susceptibility. Evidence regarding variation in BC risk is critical to understanding BC causes and for developing effective risk-based screening guidelines.
Objective: To examine the association between pregnancy-related factors and BC risk, including modification by a of BC where scores are based on age and BC family history.
Purpose: Assessing risk of recurrence for nonmetastatic triple-negative breast cancer (TNBC) is a key determinant of therapeutic strategy. The best predictor of recurrence risk is failure to achieve a pathologic complete response after preoperative chemotherapy, but it imperfectly correlates with the definitive end points of relapse-free and overall survival (OS). The inability to accurately predict recurrence has led to increasingly toxic treatment regimens for patients with early-stage TNBC.
View Article and Find Full Text PDF