Driver Fusions and Their Implications in the Development and Treatment of Human Cancers
Gene fusions represent an important class of somatic alterations in cancer. We systematically
investigated fusions in 9,624 tumors across 33 cancer types using multiple fusion calling tools. We
identified a total of 25,664 fusions, with a 63% validation rate. Integration of gene expression,
copy number, and fusion annotation data revealed that fusions involving oncogenes tend to exhibit
increased expression, whereas fusions involving tumor suppressors have the opposite effect. For