Researchers from Johns Hopkins have developed a method to determine which patients with metastatic triple-negative breast cancer could benefit from immunotherapy using computational tools. This study, published in the Proceedings of the National Academy of Sciences, focused on identifying predictive biomarkers to improve treatment selection for patients. Through mathematical modeling and virtual clinical trials, they found that certain blood-based biomarkers could accurately predict treatment response. The team also tested non-invasive measures like changes in tumor diameter to predict response. These findings have implications for personalized treatment approaches in breast cancer and could inform future clinical studies. The research was supported by NIH funding and involved collaboration with multiple institutions.
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Researchers develop new approach to predict immunotherapy response in breast cancer patients
