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HER2 Amplicon mRNA Signature May Determine Positive Outcomes With T-DXd in mBC
HER2 Amplicon mRNA Signature May Determine Positive Outcomes With T-DXd in mBC

June 2nd 2025

“Higher pretreatment HER2 amplicon mRNA signature and HER2 protein expression predicted improved outcomes with T-DXd for [metastatic breast cancer],” Paolo Tarantino, MD, PhD, said.

Data from DESTINY-Breast09 may support trastuzumab deruxtecan plus pertuzumab as a frontline standard of care in HER2-positive advanced breast cancer.
Frontline T-DXd Combo Elicits Meaningful PFS in HER2+ Advanced Breast Cancer

June 2nd 2025

Ribociclib Offers Consistent Benefit in HR+ Early Breast Cancer Across All Ages and Menopausal Statuses
Ribociclib Offers Consistent Benefit in HR+ Early Breast Cancer Across All Ages and Menopausal Statuses

June 1st 2025

Data from the NeoSTAR trial showed no new safety signals with sacituzumab govitecan plus pembrolizumab for early-stage triple-negative breast cancer.
Sacituzumab Govitecan Combo Shows Pathologic Responses in Early-Stage TNBC

June 1st 2025

Camizestrant and continued CDK4/6 inhibition delayed time to QOL deterioration vs SOC therapy in ER+/HER2– advanced breast cancer.
Camizestrant Enhances PFS vs AI Inhibitor in ER+/HER2– Breast Cancer

June 1st 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]