Liqing Tian, Yongjin Li, Michael N Edmonson, Xin Zhou, Scott Newman, Clay McLeod, Andrew Thrasher, Yu Liu, Bo Tang, Michael C Rusch, John Easton, Jing Ma, Eric Davis, Austyn Trull, J Robert Michael, Karol Szlachta, Charles Mullighan, Suzanne J Baker, James R Downing, David W Ellison, Jinghui Zhang
To discover driver fusions beyond canonical exon-to-exon chimeric transcripts, we develop CICERO, a local assembly-based algorithm that integrates RNA-seq read support with extensive annotation for candidate ranking. CICERO outperforms commonly used methods, achieving a 95% detection rate for 184 independently validated driver fusions including internal tandem duplications and other non-canonical events in 170 pediatric cancer transcriptomes. Re-analysis of TCGA glioblastoma RNA-seq unveils previously unreported kinase fusions (KLHL7-BRAF) and a 13% prevalence of EGFR C-terminal truncation...
May 28, 2020: Genome Biology