bioRxivCancer BiologyPreprint
Genomic signatures of past and present chromosomal instability in the evolution of Barretts esophagus to esophageal adenocarcinoma
Matthew D. StachleriD, Chunyang BaoiD, Richard W. TourdotiD, Gregory J. BrunetteiD, Chip StewartiD, Lili Sun, Hideo BabaiD, Masayuki WatanabeiD, Agoston Agoston, Kunal Jajoo, Jon M. DavisoniD, Katie Sue Nason, Gad A. GetziD, Kenneth K. WangiD, Yu ImamuraiD, Robert Daniel OdzeiD, Adam Joel BassiD, Cheng‐Zhong ZhangiD
- Citations
- 7
Abstract
The progression of precancerous lesions to malignancy is often accompanied by increasing complexity of chromosomal alterations but how these alterations arise is poorly understood. Here we performed haplotype-specific analysis of chromosomal copy-number evolution in the progression of Barretts esophagus (BE) to esophageal adenocarcinoma (EAC) on multiregional whole-genome sequencing data of BE with dysplasia and microscopic EAC foci. We identified distinct patterns of copy-number evolution indicating multigenerational chromosomal instability that is initiated by cell division errors but propagated only after p53 loss. While abnormal mitosis, including whole-genome duplication, underlies chromosomal copy-number changes, segmental alterations display signatures of successive breakage-fusion-bridge cycles and chromothripsis of unstable dicentric chromosomes. Our analysis elucidates how multigenerational chromosomal instability generates copy-number variation in BE cells, precipitates complex alterations including DNA amplifications, and promotes their independent clonal expansion and transformation. In particular, we suggest sloping copy-number variation as a signature of ongoing chromosomal instability that precedes copy-number complexity. These findings suggest copy-number heterogeneity in advanced cancers originates from chromosomal instability in precancerous cells and such instability may be identified from the presence of sloping copy-number variation in bulk sequencing data.
- organism: human
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- research focus: differential expression
- approach: statistical model
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