Patients with stage II-III Triple negative breast cancer (TNBC) candidates to receive neoadjuvant chemotherapy (NACT) +/- immune checkpoint inhibitor (ICI) will be included. Several samples from different tissues will be analyzed through different omics to establish predictive biomarkers of response to the treatment. Multiple algorithms will then be used to look for an integrative predictive algorithm that incorporates multi-parameter inputs in order to develop a clinical tool to assist clinicians in the process of treatment decision-making in TNBC.