4.7 Article

Rearrangement processes and structural variations show evidence of selection in oesophageal adenocarcinomas

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COMMUNICATIONS BIOLOGY
卷 5, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s42003-022-03238-7

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  1. UK National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, from Addenbrooke's Hospital
  2. NIHR Cambridge Biomedical Research Centre [BRC-1215-20014]
  3. Medical Research Council [RG84369]
  4. Cancer Research UK [RG66287, RG81771/84119]

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This study categorizes genomic structural variants (SVs) in 383 cases of oesophageal cancer, uncovering mutational patterns and new disease drivers. Identification of SV events in OAC is crucial for targeted therapies.
Oesophageal adenocarcinoma (OAC) provides an ideal case study to characterize large-scale rearrangements. Using whole genome short-read sequencing of 383 cases, for which 214 had matched whole transcriptomes, we observed structural variations (SV) with a predominance of deletions, tandem duplications and inter-chromosome junctions that could be identified as LINE-1 mobile element (ME) insertions. Complex clusters of rearrangements resembling breakage-fusion-bridge cycles or extrachromosomal circular DNA accounted for 22% of complex SVs affecting known oncogenes. Counting SV events affecting known driver genes substantially increased the recurrence rates of these drivers. After excluding fragile sites, we identified 51 candidate new drivers in genomic regions disrupted by SVs, including ETV5, KAT6B and CLTC. RUNX1 was the most recurrently altered gene (24%), with many deletions inactivating the RUNT domain but preserved the reading frame, suggesting an altered protein product. These findings underscore the importance of identification of SV events in OAC with implications for targeted therapies. Genomic structural variants (SVs) in cancer are notoriously difficult to identify, despite the impact they have on cancer progression and treatment efficacy. This study applies state-of-the-art computational methods to catalogue SVs in 383 cases of oesophageal cancer, uncovering mutational patterns and new disease drivers.

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