Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial
Zerdes I, Matikas A, Mezheyeuski A, Manikis G, Acs B, Johansson H, Boyaci C, Boman C, Poncet C, Ignatiadis M, Bai Y, Rimm D, Cameron D, Bonnefoi H, Bergh J, MacGrogan G, Foukakis T. Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial. Npj Breast Cancer 2025, 11: 23. PMID: 40055382, DOI: 10.1038/s41523-025-00730-1.Peer-Reviewed Original ResearchPathological complete responseAssociated with pathologic complete responseBreast cancerTriple-negativeCD8+ T cell expressionImmune infiltrate characterizationPretreatment tumor biopsiesTP53-mutated tumorsTumor immune microenvironmentTumor microenvironment componentsT cell expressionImmune cell subsetsTumors of patientsTumor-host interactionsBreast cancer trialsNeoadjuvant trialsComplete responseTN tumorsCD4+Tumor biopsiesCell subsetsPrognostic correlationPrognostic implicationsImmune infiltrationMultiplex immunofluorescence
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