Ovarian Cancer

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Additional research on novel targeted therapies may be necessary to address the unmet needs in this high-grade serous ovarian cancer population.
Alpelisib Combo Does Not Extend PFS in High-Grade Serous Ovarian Cancer

August 13th 2025

Additional research on novel targeted therapies may be necessary to address the unmet needs in this high-grade serous ovarian cancer population.

Further studying the biology of minimal residual disease may uncover ovarian cancer vulnerabilities and inform more effective therapies.
Data Show MRD in Nearly Half of Ovarian Cancer Population in Remission

August 4th 2025

Oncologists explore the considerations of mirvetuximab soravtansine treatment in platinum-resistant ovarian cancer, highlighting its efficacy and the management of ocular AEs.
Highlighting Multidisciplinary Ovarian Cancer Care With Oncologists, Ophthalmologists, and Nurses

July 31st 2025

Relacorilant plus nab-paclitaxel led to a median PFS and OS of 6.54 months and 15.97 months in patients with platinum-resistant ovarian cancer.
FDA Receives sNDA for Relacorilant in Platinum-Resistant Ovarian Cancer

July 15th 2025

Avutometinib/Defactinib Displays Safety, Efficacy in Ovarian Cancer Subtype
Avutometinib/Defactinib Displays Safety, Efficacy in Ovarian Cancer Subtype

July 14th 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]