All
FDA Issues CRL to Patritumab Deruxtecan in Advanced EGFR-Mutated NSCLC
June 27th 2024Patritumab deruxtecan has been issued a complete response letter to its biologics license application for the treatment for patients with advanced non-small cell lung cancer with EGFR mutations after prior treatment with 2 or more lines of therapy.
Study Evaluates Methods for Breast Cancer Recurrence Surveillance
June 26th 2024Ali Duffens, MD, discusses a study in which investigators assessed the mode of detection for breast cancer recurrence within an integrated health system by assessing the utility and outcomes of current surveillance guidelines recommended by the National Comprehensive Cancer Network.
ADRIATIC Study Shows Benefit of Consolidation Durvalumab in LS-SCLC
June 25th 2024Missak Haigentz, MD, discusses the impact of the results from the ADRIATIC study of durvalumab as consolidation treatment after concurrent chemoradiation for the treatment of patients with limited-stage small cell lung cancer.
Immunotherapy Meets the Frontline in Bladder Cancer, Leaving Gaps in Later Lines
June 24th 2024Recent data, trials, approvals, and presentations during the 2024 American Urological Association Annual Meeting paint a positive treatment landscape for patients with metastatic and non–muscle-invasive bladder cancer.
Ruxolitinib Treatment in Myelofibrosis Still Effective, Regardless of Anemia
June 21st 2024New or worsening anemia did not appear to reduce the clinical benefit of ruxolitinib in myelofibrosis patients, and the median overall survival was similar between patients with and without new or worsening anemia.
Lifileucel Recommendations in Solid Tumors Deliver Comprehensive Guidance
June 21st 2024Recommendations on adoptive cell therapy with tumor-infiltrating lymphocytes that address the newly approved therapy lifileucel explore safe administration practices and optimal patient selection based on individual characteristics.
AI Mortality Predictor Enhances End-of-Life Care and Palliative Support
June 20th 2024In a prognostic study, an artificial intelligence model significantly outperformed oncologists in predicting short-term mortality, resulting in a 60% positive predictive value vs 34.8%, which involved 57 physicians and 17 advanced practice clinicians.