In this study, we employed a series of bioinformatics methods to systematically analyze the correlation between FAM72B expression and various aspects, including multiple human tumor types, clinical pathological parameters, prognostic value, gene mutations, genomic heterogeneity, immune checkpoint genes, immune cell infiltration levels, and single-cell levels, in order to explore the potential oncogenic or tumor-suppressive roles of FAM72B. The gene discussed is FAM72B; the disease is neoplasm.