Identification of subtype recognition and prognosis model characterized by Antibody-dependent cell phagocytosis related genes in breast cancer

Background: Breast cancer (BC) is a heterogeneous tumor with a variety of etiology and clinical features. Antibody-dependent cell phagocytosis (ADCP) is the last step of immune checkpoint inhibition (ICI), and macrophages destroy tumor cells after previous recognition activation. Despite the large number, negative regulators that inhibit phagocytic activity are still a key obstacle to the full efficacy of ICI. Patients and methods: An ADCP -related risk score prognostic model for risk stratification as well as prognosis prediction was established in the Cancer Genome Atlas (TCGA) cohort. The predictive value of ADCP risk score in prognosis and immunotherapy was also further validated in the TCGA along with International Cancer Genome Consortium cohorts. To promote the clinical application of the risk score, a nomogram was established, with its effectiveness verified by different methods. Results In this study, the genes collected from previous studies were defined as ADCP-related genes. In BC patients, two ADCP-related subtypes were identified. The immune characteristics and prognostic stratification were significant different between them. Conclusion Based on these findings, it can be inferred that there is a significant relationship between ADCP and TME (tumor microenvironment) in BC. Risk score could be used as a good indicator for prognosis, potential in providing therapeutic advantages for chemotherapy as well as immunotherapy, thereby aiding in the clinical decision-making process for BC patients.