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Data · dataset · 2021

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

Listed in Teesside University Research Data Repository

An exitron is a cryptic intron within a protein-coding exon that, when spliced, alters the protein-coding potential of the transcript.

Description

Exitrons are poorly characterized, but emerging evidence suggests a role for exitron splicing (EIS) in cancer. Through a systematic investigation of EIS across 33 cancers from 9,599 tumor transcriptomes, we discovered EIS affected over 60% of human coding genes and 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 known and novel cancer driver genes were affected through gain- or loss-of-function EIS alterations to dictate cancer progression. Importantly, we identified EIS-derived neoepitopes that bind to MHC class I and II.

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Analysis of clinical data from a clear cell renal cell carcinoma cohort revealed EIS-derived neoantigen burden to be significantly associated with checkpoint inhibitor response. Our findings establish the importance of considering EIS alterations when nominating cancer driver events and neoantigens.

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Cancer 75%
Provenance · 1 source records, 7 field assertions
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