Direct Transcriptional Consequences of Somatic Mutation in Breast Cancer
Author(s) -
Adam Shlien,
Keiran Raine,
Fabio Fuligni,
Roland Arnold,
SereikZainal,
Serge Dronov,
Lira Mamanova,
Andrej Rosic,
Young Seok Ju,
Susanna L. Cooke,
Manasa Ramakrishna,
Elli Papaemmanuil,
Helen Davies,
Patrick Tarpey,
Peter Van Loo,
David C. Wedge,
David Jones,
Sancha Martin,
John Marshall,
Elizabeth Anderson,
Claire Hardy,
Violetta Barbashina,
Samuel Aparício,
Torill Sauer,
Øystein Garred,
Anne VincentSalomon,
Odette Mariani,
Sandrine Boyault,
Aquila Fatima,
Anita Langerød,
Åke Borg,
Anthony J. Gill,
Andrea L. Richardson,
AnneLise BørresenDale,
Kornélia Polyák,
Michael R. Stratton,
Peter J. Campbell
Publication year - 2016
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2016.07.028
Subject(s) - biology , genetics , nonsense mutation , exon , transcriptome , somatic cell , gene , nonsense mediated decay , transcription (linguistics) , polyadenylation , germline mutation , mutation , gene expression , rna , missense mutation , rna splicing , linguistics , philosophy
Disordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription, coordinated secondary pathway alterations, and increased transcriptional noise. To catalog the rules governing how somatic mutation exerts direct transcriptional effects, we developed an exhaustive pipeline for analyzing RNA sequencing data, which we integrated with whole genomes from 23 breast cancers. Using X-inactivation analyses, we found that cancer cells are more transcriptionally active than intermixed stromal cells. This is especially true in estrogen receptor (ER)-negative tumors. Overall, 59% of substitutions were expressed. Nonsense mutations showed lower expression levels than expected, with patterns characteristic of nonsense-mediated decay. 14% of 4,234 rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusions, and premature polyadenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data reveals the rules by which transcriptional machinery interprets somatic mutation.
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