Ovarian Cancer

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Investigators of the OVATION-2 trial assessed IMNN-001, a novel IL-2 gene therapy, in patients with newly diagnosed epithelial ovarian cancer.
PFS, OS Numerically Improve Via IMNN-001 Combo in Epithelial Ovarian Cancer

June 4th 2025

Investigators of the OVATION-2 trial assessed IMNN-001, a novel IL-2 gene therapy, in patients with newly diagnosed epithelial ovarian cancer.

Data from the ROSELLA trial may support relacorilant plus nab-paclitaxel as a new standard in this ovarian cancer population.
Relacorilant and Nab-Paclitaxel Significantly Extend PFS in Ovarian Cancer

June 2nd 2025

Dostarlimab/Chemo, Maintenance Niraparib Show Modest Improvements in Ovarian Cancer
Dostarlimab/Chemo, Maintenance Niraparib Show Modest Improvements in Ovarian Cancer

June 2nd 2025

The safety profile of pembrolizumab in the KEYNOTE-B96 study was comparable with prior reports of the agent, and investigators observed no new safety signals.
Pembrolizumab Combo Extends PFS in Platinum-Resistant Ovarian Cancer

May 15th 2025

Findings from the phase 2 RAMP 201 trial support the FDA approval of avutometinib plus defactinib in low-grade serous ovarian cancer.
FDA Grants Accelerated Approval to Avutometinib/Defactinib in KRAS+ LGSOC

May 8th 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]