About FusionPub

Tumorigenic functions of fusion genes were targeted for cancer therapeutics. Kinase fusion genes were the most targeted fusion gene group in human cancers. However, other group fusion genes do not yet have targeted therapy. Furthermore, for most fusion proteins in pediatric cancers, there are no effective therapeutics targeting fusion proteins, which are the driving cause of the cancers. To advance the development of fusion protein targeting therapeutics, we need to know how fusion oncoprotein patients were/are treated in the clinic and what small molecules or therapies have been studied, which is critical for developing fusion protein targeting and personalized therapeutics. To fill this crucial gap, we developed FusionPub. We performed the PubMed abstract search for 107K human fusion genes with all combinations of 14K drugs/small molecules (1.5 billion times). We also performed the PubMed abstract search for 18K human fusion proteins with all combinations of 8.5K and 8.3K gene synonyms of 5’- and 3’-partners with 14K drugs/small molecules (1.8 quintillion times). It found xx PubMed abstracts between xx fusion genes and xx drugs/small molecules. For the found abstracts of fusion gene and drug, we provide a sentence summary using the generative AI, details of the found drugs/small molecules, records of the clinical trials of fusion gene and found drug in specific diseases, and common medications from our found abstracts and patient treatment history of TCGA patients and pediatric sarcoma patients from the clinical data warehouse (CDW) in UTHealth. We are confident that FusionPub will be a unique resource that provides knowledge of fusion gene targeting therapeutics development and is widely used in diverse cancer research.