Researchers identify Rb1 as a predictive biomarker for a new therapeutic strategy in some breast cancers
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Dec-2025 01:11 ET (25-Dec-2025 06:11 GMT/UTC)
A new study published today in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center details a therapeutic vulnerability in patients with an aggressive subtype of triple-negative breast cancer.
A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has developed and validated an artificial intelligence (AI)–based noninvasive tool that can predict the likelihood that a patient’s oropharyngeal cancer—a type of head and neck cancer that develops in the throat—will spread, thereby signaling which patients should receive aggressive treatment. The research is published in Journal of Clinical Oncology.