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Camizestrant showed better progression-free survival than fulvestrant across various subgroups of patients with advanced breast cancer.
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November 12th 2024

Camizestrant showed better progression-free survival than fulvestrant across various subgroups of patients with advanced breast cancer.

Treatment with (Z)-endoxifen yielded no changes in hematological safety tests among patients enrolled on the phase 2 KARISMA-Endoxifen study.
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November 5th 2024

Inavolisib-based therapy reaches the primary end point of the phase 3 INAVO120 study among patients with PIK3CA-mutated breast cancer.
Inavolisib-Based Therapy Boosts Progression-Free Survival in Breast Cancer

November 1st 2024

Findings speak to the need of cultural, racial, and ethnic inclusion when designing breast cancer trials and developing patient-reported outcome measures.
Study Shows Post-Mastectomy Disparities in Breast Cancer Minority Groups

October 31st 2024

Four of 13 patients with metastatic breast cancer recruited in 2022 for the phase 2 clinical study evaluating Bria-IMT remain in survival follow-up.
Bria-IMT Regimen Exceeds Survival Data of SOC in Metastatic Breast Cancer

October 23rd 2024

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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]