FPIA: A database for gene fusion profiling and interactive analyses

Abstract As one of the hallmarks of cancer, gene fusions play an important role in tumorigenesis, and have been established as biomarkers and therapeutic targets. Although recent years have witnessed the development of gene fusion databases, a tool with interactive analytic functions remains lacking. Here, we introduce fusion profiling interactive analysis (FPIA), a web server to perform interactive and customizable analysis on fusion genes. With this platform, researchers can easily explore fusion‐associated biological and molecular differences including gene expression, tumor purity and ploidy, mutation, copy number variations, protein expression, immune cell infiltration, stemness, telomere length, microsatellite instability, survival and novel peptides based on 33 cancer types from The Cancer Genome Atlas (TCGA) data. Currently, it contains 31 633 fusion events from 6910 patients. FPIA complements the existing gene fusion annotation databases with its multiomics analytic capacity, integrated analysis features, customized analysis selection and user‐friendly design. The comprehensive data analyses by FPIA will greatly facilitate data mining, hypothesis generation and therapeutic target discovery. FPIA is available at http://bioinfo-sysu.com/fpia .