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The transcriptional landscape of endogenous retroelements delineates esophageal adenocarcinoma subtypes.

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journal contribution
posted on 2023-07-31, 11:04 authored by Anastasiya Kazachenka, Jane Hc Loong, Jan Attig, George R Young, Piyali Ganguli, Ginny Devonshire, Nicola Grehan, The OCCAMS Consortium, Francesca D Ciccarelli, Rebecca C Fitzgerald, George Kassiotis
Most cancer types exhibit aberrant transcriptional activity, including derepression of retrotransposable elements (RTEs). However, the degree, specificity and potential consequences of RTE transcriptional activation may differ substantially among cancer types and subtypes. Representing one extreme of the spectrum, we characterize the transcriptional activity of RTEs in cohorts of esophageal adenocarcinoma (EAC) and its precursor Barrett's esophagus (BE) from the OCCAMS (Oesophageal Cancer Clinical and Molecular Stratification) consortium, and from TCGA (The Cancer Genome Atlas). We found exceptionally high RTE inclusion in the EAC transcriptome, driven primarily by transcription of genes incorporating intronic or adjacent RTEs, rather than by autonomous RTE transcription. Nevertheless, numerous chimeric transcripts straddling RTEs and genes, and transcripts from stand-alone RTEs, particularly KLF5- and SOX9-controlled HERVH proviruses, were overexpressed specifically in EAC. Notably, incomplete mRNA splicing and EAC-characteristic intronic RTE inclusion was mirrored by relative loss of the respective fully-spliced, functional mRNA isoforms, consistent with compromised cellular fitness. Defective RNA splicing was linked with strong transcriptional activation of a HERVH provirus on Chr Xp22.32 and defined EAC subtypes with distinct molecular features and prognosis. Our study defines distinguishable RTE transcriptional profiles of EAC, reflecting distinct underlying processes and prognosis, thus providing a framework for targeted studies.

Funding

Crick (Grant ID: CC2088, Grant title: Kassiotis CC2088) Crick (Grant ID: CC1107, Grant title: STP Bioinformatics & Biostatistics) European Research Council (Grant ID: 101018670 - RETROFIT, Grant title: ERC 101018670 - RETROFIT)

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