Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Pan-cancer analysis of whole genomes

Peter J Campbell, Gaddy Getz, Joshua M Stuart, Jan O Korbel, Lincoln D Stein on behalf of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Network
doi: https://doi.org/10.1101/162784
Peter J Campbell
1Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
2Department of Haematology, University of Cambridge, Cambridge CB2 2XY, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gaddy Getz
3The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02124, USA
4Massachusetts General Hospital Center for Cancer Research, Charlestown, Massachusetts 02129, USA
5Massachusetts General Hospital, Department of Pathology, Boston, Massachusetts 02114, USA
6Harvard Medical School, Boston, 02215, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joshua M Stuart
7Department of Biomolecular Engineering and CBSE, University of California Santa Cruz, Santa Cruz, CA 95064, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jan O Korbel
8European Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany
9EMBL, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridgeshire CB10 1SA, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lincoln D Stein
10Adaptive Oncology, Ontario Institute for Cancer Research, Toronto, Ontario, Canada, M5G 0A3
11Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada, M5S 1A8
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

We report the integrative analysis of more than 2,600 whole cancer genomes and their matching normal tissues across 39 distinct tumour types. By studying whole genomes we have been able to catalogue non-coding cancer driver events, study patterns of structural variation, infer tumour evolution, probe the interactions among variants in the germline genome, the tumour genome and the transcriptome, and derive an understanding of how coding and non-coding variations together contribute to driving individual patient's tumours. This work represents the most comprehensive look at cancer whole genomes to date. NOTE TO READERS: This is an incomplete draft of the marker paper for the Pan-Cancer Analysis of Whole Genomes Project, and is intended to provide the background information for a series of in-depth papers that will be posted to BioRixv during the summer of 2017.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted July 12, 2017.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Pan-cancer analysis of whole genomes
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Pan-cancer analysis of whole genomes
Peter J Campbell, Gaddy Getz, Joshua M Stuart, Jan O Korbel, Lincoln D Stein
bioRxiv 162784; doi: https://doi.org/10.1101/162784
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Pan-cancer analysis of whole genomes
Peter J Campbell, Gaddy Getz, Joshua M Stuart, Jan O Korbel, Lincoln D Stein
bioRxiv 162784; doi: https://doi.org/10.1101/162784

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Cancer Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4087)
  • Biochemistry (8762)
  • Bioengineering (6479)
  • Bioinformatics (23341)
  • Biophysics (11750)
  • Cancer Biology (9149)
  • Cell Biology (13247)
  • Clinical Trials (138)
  • Developmental Biology (7416)
  • Ecology (11369)
  • Epidemiology (2066)
  • Evolutionary Biology (15087)
  • Genetics (10399)
  • Genomics (14009)
  • Immunology (9121)
  • Microbiology (22040)
  • Molecular Biology (8779)
  • Neuroscience (47367)
  • Paleontology (350)
  • Pathology (1420)
  • Pharmacology and Toxicology (2482)
  • Physiology (3704)
  • Plant Biology (8050)
  • Scientific Communication and Education (1431)
  • Synthetic Biology (2208)
  • Systems Biology (6016)
  • Zoology (1249)