A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with hormone receptor (HR)-positive, HER2-negative metastatic breast cancer would have better outcomes from adding CDK4/6 inhibitors to endocrine therapy as first-line treatment, according to results presented at the San Antonio Breast Cancer Symposium (SABCS), held December 10-13, 2024. While the use of CDK4/6 inhibitors combined with endocrine therapy have significantly improved outcomes in patients with HR-positive, HER2-negative metastatic breast cancer, Pedram Razavi, MD, PhD, the scientific director of the Global Research Program at Memorial Sloan Kettering Cancer Center and presenter of the study, noted that the responses to CDK4/6 inhibitors vary widely; some patients do markedly well, while others develop treatment resistance over time, and some derive no benefit at all. There's a huge need in clinic to identify patients who may or may not benefit from adding CDK4/6 inhibitors at the time of metastatic diagnosis so that we can think about escalation and de-escalation strategies in advance.
More accurate prediction of outcomes could also help some patients avoid unnecessary side effects and financial toxicity from escalated upfront approaches." Pedram Razavi, MD, PhD, Scientific Director, Global Research Program at Memorial Sloan Kettering Cancer Center Currently, Razavi explained, certain clinic.
