A pan-cancer transcriptome analysis of exitron splicing identifies novel cancer driver genes and neoepitopes

外显子剪接的泛癌转录组分析确定了新的癌症驱动基因和新表位

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作者:Ting-You Wang, Qi Liu, Yanan Ren, Sk Kayum Alam, Li Wang, Zhu Zhu, Luke H Hoeppner, Scott M Dehm, Qi Cao, Rendong Yang

Abstract

Exitron splicing (EIS) creates a cryptic intron (called an exitron) within a protein-coding exon to increase proteome diversity. EIS is poorly characterized, but emerging evidence suggests a role for EIS in cancer. Through a systematic investigation of EIS across 33 cancers from 9,599 tumor transcriptomes, we discovered that EIS affected 63% of human coding genes and that 95% of those events were tumor specific. Notably, we observed a mutually exclusive pattern between EIS and somatic mutations in their affected genes. Functionally, we discovered that EIS altered known and novel cancer driver genes for causing gain- or loss-of-function, which promotes tumor progression. Importantly, we identified EIS-derived neoepitopes that bind to major histocompatibility complex (MHC) class I or II. Analysis of clinical data from a clear cell renal cell carcinoma cohort revealed an association between EIS-derived neoantigen load and checkpoint inhibitor response. Our findings establish the importance of considering EIS alterations when nominating cancer driver events and neoantigens.

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