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Adjuvant chemotherapy with hormonotherapy in women at least 70 years of age with GGI-high risk HER2-negative breast cancer led to more AEs vs hormonotherapy alone.
Chemotherapy Confers No Survival Benefit in Older Breast Cancer Population

August 30th 2025

Adjuvant chemotherapy with hormonotherapy in women at least 70 years of age with GGI-high risk HER2-negative breast cancer led to more AEs vs hormonotherapy alone.

The rolling submission is supported by data from the PIK3CA wild-type cohort of the phase 3 VIKTORIA-1 trial evaluating gedatolisib in advanced breast cancer.
FDA Accepts New Drug Application for Gedatolisib in PIK3CA Wild-Type Breast Cancer

August 29th 2025

Abemaciclib/Endocrine Therapy Improves OS in HR+/HER2– Early Breast Cancer
Abemaciclib/Endocrine Therapy Improves OS in HR+/HER2– Early Breast Cancer

August 28th 2025

Reshaping Breast Cancer Surgery and Minimizing Radical Treatment Approaches
Reshaping Breast Cancer Surgery and Minimizing Radical Treatment Approaches

August 14th 2025

FLEX study findings show that the MammaPrint Index was predictive of 5-year DRFI for endocrine therapy with or without chemotherapy in early breast cancer.
MammaPrint Displays Predictive Utility for Chemo in HR+/HER2– Breast Cancer

August 13th 2025

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Mathematical Modeling for Breast Cancer Risk Assessment

August 1st 2002

Women at increased risk of breast cancer have important opportunities for early detection and prevention. There are, however, serious drawbacks to the available interventions. The magnitude of breast cancer risk is a crucial factor in the optimization of medical benefit when considering the efficacy of risk-reduction methods, the adverse effects of intervention, and economic and quality-of-life outcomes. Breast cancer risk assessment has become increasingly quantitative and is amenable to computerization. The assembly of risk factor information into practical, quantitative models for clinical and scientific use is relatively advanced for breast cancer, and represents a paradigm for broader risk management in medicine. Using a case-based approach, we will summarize the major breast cancer risk assessment models, compare and contrast their utility, and illustrate the role of genetic testing in risk management. Important considerations relevant to clinical oncology practice include the role of risk assessment in cancer prevention, the logistics of implementing risk assessment, the ramifications of conveying risk information with limited genetic counseling, and the mechanisms for genetics referral. Medical professionals can embrace new preventive medicine techniques more effectively by utilizing quantitative methods to assess their patients’ risks. [ONCOLOGY 16:1082-1099, 2002]