In this study, we employed a series of bioinformatics approaches to conduct pan-cancer analysis of FAM110A from multiple aspects, including gene expression and genomic alterations, correlation with prognosis, immunological markers, immune infiltration, and gene sets of interest. Here, FAM110A is linked to cancer.