4.8 Article

Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs

Journal

CELL
Volume 183, Issue 1, Pages 197-+

Publisher

CELL PRESS
DOI: 10.1016/j.cell.2020.08.006

Keywords

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Funding

  1. M.I.'s Burroughs Wellcome Fund Career Award for Medical Scientists
  2. Doris Duke Clinical Foundation Clinical Scientist Development Award
  3. Starr Cancer Consortium Award
  4. National Institutes of Health (NIH) [U24-CA15020]
  5. Weill Cornell Medicine Department of Pathology and Laboratory Medicine startup funds
  6. Melanoma Research Alliance Team Science Award
  7. NIH/NCI F31 graduate research fellowship [F31-CA232465]
  8. NIH F32 training grant
  9. Fund for Innovation in Cancer Informatics
  10. NIH [P01-CA9195, P01 CA91955, P30 CA015704]
  11. IBM corporation (IBM Watson Health)
  12. Rockefeller University grant from the National Center for Advancing Translational Sciences (NCATS) [UL1 TR000043]
  13. NIH Clinical and Translational Science Award (CTSA) program
  14. National Science Foundation grants [CCF-0836649, CCF-0926166]
  15. National Cancer Institute Physical Sciences-Oncology Center grant [U54 CA193313-01]

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Cancer genomes often harbor hundreds of somatic DNA rearrangement junctions, many of which cannot be easily classified into simple (e.g., deletion) or complex (e.g., chromothripsis) structural variant classes. Applying a novel genome graph computational paradigm to analyze the topology of junction copy number (JCN) across 2,778 tumor whole-genome sequences, we uncovered three novel complex rearrangement phenomena: pyrgo, rigma, and tyfonas. Pyrgo are towers of low-JCN duplications associated with early-replicating regions, superenhancers, and breast or ovarian cancers. Rigma comprise chasms of low-JCN deletions enriched in late-replicating fragile sites and gastrointestinal carcinomas. Tyfonas are typhoons of high-JCN junctions and fold-back inversions associated with expressed protein-coding fusions, breakend hypermutation, and acral, but not cutaneous, melanomas. Clustering of tumors according to genome graph-derived features identified subgroups associated with DNA repair defects and poor prognosis.

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