Evidence map›Paper›PMID 24071852›Full record

ArticleNature genetics2013

Pan-cancer patterns of somatic copy number alteration.

Travis I Zack, Stephen E Schumacher, Scott L Carter, Andre D Cherniack, Gordon Saksena, Barbara Tabak, Michael S Lawrence, Cheng-Zhong Zhsng, Jeremiah Wala, Craig H Mermel and 8 more

Abstract read
In one paragraph

Article in Nature genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,181 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,181citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,181 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Disentangling Heterogeneous Molecular Networks for Multi-Omics-Driven Cancer Driver Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Article
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  11. Article
  12. Review
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  17. Review
  18. Integrative Analysis UncoversCurrent issues in molecular biology · 2026
    Article
  19. Review
  20. Article

1,121 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Travis I ZackBroad Institute, Cambridge, Massachusetts, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA; Biophysics Program, Harvard University, Boston, Massachusetts, USA.
Stephen E Schumacher
Scott L Carter
Andre D Cherniack
Gordon Saksena
Barbara Tabak
Michael S Lawrence
Cheng-Zhong Zhsng
Jeremiah Wala
Craig H Mermel
Carrie Sougnez
Stacey B Gabriel
Bryan Hernandez
Hui Shen
Peter W Laird
Gad Getz
Matthew Meyerson
Rameen Beroukhim

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Genome Characterization Center (GCC)U24CA143867 · NCI · BROAD INSTITUTE, INC. · PI GABRIEL, STACEY, MEYERSON, MATTHEW L. · 2009 to 2016
$17.0M
The Cancer Genome Atlas Data Analysis CenterU24CA143845 · NCI · BROAD INSTITUTE, INC. · PI CHIN, LYNDA, GETZ, GAD A · 2009 to 2016
$16.0M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
The USC-JHU Cancer Epigenome Characterization CenterU24CA143882 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BAYLIN, STEPHEN B., WEISENBERGER, DANIEL JOSEPH · 2009 to 2016
$13.3M
The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
NCI NIH HHS U24 CA143845NCI NIH HHS U24CA143845NCI NIH HHS U24 CA143867NCI NIH HHS U24CA143867NCI NIH HHS U24 CA143882NCI NIH HHS U24CA143882NCI NIH HHS U54 CA143798NCI NIH HHS U54CA143798NHGRI NIH HHS T32 HG002295NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54HG003067NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

Determining how somatic copy number alterations (SCNAs) promote cancer is an important goal. We characterized SCNA patterns in 4,934 cancers from The Cancer Genome Atlas Pan-Cancer data set. Whole-genome doubling, observed in 37% of cancers, was associated with higher rates of every other type of SCNA, TP53 mutations, CCNE1 amplifications and alterations of the PPP2R complex. SCNAs that were internal to chromosomes tended to be shorter than telomere-bounded SCNAs, suggesting different mechanisms underlying their generation. Significantly recurrent focal SCNAs were observed in 140 regions, including 102 without known oncogene or tumor suppressor gene targets and 50 with significantly mutated genes. Amplified regions without known oncogenes were enriched for genes involved in epigenetic regulation. When levels of genomic disruption were accounted for, 7% of region pairs were anticorrelated, and these regions tended to encompass genes whose proteins physically interact, suggesting related functions. These results provide insights into mechanisms of generation and functional consequences of cancer-related SCNAs.

Indexed as

DNA Copy Number VariationsEpigenesis, GeneticGene Regulatory NetworksGenetic Association StudiesGenetic Predisposition to DiseaseHumansMutagenesisNeoplasmsPloidies

Identifiers

PMID24071852
PMCPMC3966983

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.