New research presented during the 2024 San Antonio Breast Cancer Symposium (SABCS) reveals a new machine learning model that could change the way metastatic breast cancer is treated in the future. By combining clinical and genomic data, physician-scientists from Memorial Sloan Kettering Cancer Center (MSK) developed a tool that could help improve predictions of how people with hormone receptor-positive, HER2-negative (HR+/HER2-) metastatic breast cancer respond to CDK4/6 inhibitors, a class of oral medications that control cell division and are often prescribed in combination with hormone therapy to treat this subset of patients.
