Exploring the landscape of focal amplifications in cancer using AmpliconArchitect.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
23 01 2019
Historique:
received: 28 03 2018
accepted: 13 12 2018
entrez: 25 1 2019
pubmed: 25 1 2019
medline: 9 2 2019
Statut: epublish

Résumé

Focal oncogene amplification and rearrangements drive tumor growth and evolution in multiple cancer types. We present AmpliconArchitect (AA), a tool to reconstruct the fine structure of focally amplified regions using whole genome sequencing (WGS) and validate it extensively on multiple simulated and real datasets, across a wide range of coverage and copy numbers. Analysis of AA-reconstructed amplicons in a pan-cancer dataset reveals many novel properties of copy number amplifications in cancer. These findings support a model in which focal amplifications arise due to the formation and replication of extrachromosomal DNA. Applying AA to 68 viral-mediated cancer samples, we identify a large fraction of amplicons with specific structural signatures suggestive of hybrid, human-viral extrachromosomal DNA. AA reconstruction, integrated with metaphase fluorescence in situ hybridization (FISH) and PacBio sequencing on the cell-line UPCI:SCC090 confirm the extrachromosomal origin and fine structure of a Forkhead box E1 (FOXE1)-containing hybrid amplicon.

Identifiants

pubmed: 30674876
doi: 10.1038/s41467-018-08200-y
pii: 10.1038/s41467-018-08200-y
pmc: PMC6344493
doi:

Substances chimiques

FOXE1 protein, human 0
Forkhead Transcription Factors 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

392

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM008806
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG010149
Pays : United States
Organisme : NIH HHS
ID : HG010149
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS073831
Pays : United States
Organisme : NIH HHS
ID : R01GM114362
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM114362
Pays : United States

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Auteurs

Viraj Deshpande (V)

Department of Computer Science and Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. virajbdeshpande@gmail.com.

Jens Luebeck (J)

Bioinformatics and Systems Biology Program, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Nam-Phuong D Nguyen (ND)

Department of Computer Science and Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Mehrdad Bakhtiari (M)

Department of Computer Science and Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Kristen M Turner (KM)

Ludwig Institute for Cancer Research, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Richard Schwab (R)

Department of Medicine, Division of Hematology-Oncology, School of Medicine, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Hannah Carter (H)

Department of Medicine, Division of Medical Genetics, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Moores Cancer Center, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Paul S Mischel (PS)

Ludwig Institute for Cancer Research, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Moores Cancer Center, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Department of Pathology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.

Vineet Bafna (V)

Department of Computer Science and Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. vbafna@cs.ucsd.edu.

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Classifications MeSH