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One of the key areas of focus is identifying biomarkers that can predict which patients are most likely to respond to immunotherapy. While PD-L1 expression is currently used to select patients for treatment with atezolizumab and pembrolizumab, it is not a perfect predictor of response. Researchers are working to identify other biomarkers, such as tumor mutational john deere mexico locations burden (TMB) and immune cell infiltration, that can help to better identify patients who will benefit from immunotherapy. These biomarkers could help doctors to personalize treatment decisions and ensure that patients receive the most effective therapy for their specific situation. The development of more accurate predictive biomarkers is crucial for maximizing the benefits of immunotherapy in TNBC.
