Abstract 5627: Spatial protein profiling by cyclic immunofluorescence to interpret and improve bulk tumor-based predictor of response to chemotherapy with bevacizumab in neoadjuvant breast cancer treatment
Abstract:Introduction: A limited number of drugs are available for use in breast cancer patients, and several are not in practical use due to the lack of adequate biomarkers. We have recently demonstrated the feasibility of using machine learning on molecular data from bulk tumor analysis to create a nine-protein signature named VEGF-inhibition Response Predictor (ViRP) for selecting BC patients for treatment with chemotherapy and bevacizumab. The ViRP score is currently being validated in the NAPEER+ clinical trial (E… Show more
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