Evidence map›Paper›PMID 22101486›Full record

ArticleNature biotechnology2011

High order chromatin architecture shapes the landscape of chromosomal alterations in cancer.

Geoff Fudenberg, Gad Getz, Matthew Meyerson, Leonid A Mirny

Abstract read
In one paragraph

Article in Nature biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed
14.0field-weighted citation impact, top 1% of its field
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

131 citing papers in PubMed, 217 citations in OpenAlex.

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71 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Geoff FudenbergHarvard University, Program in Biophysics, Boston, Massachusetts, USA.
Gad Getz
Matthew Meyerson
Leonid A Mirny
Broad Institute · USDana-Farber Cancer Institute · USHarvard University · US

Funding

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
TRANS-NETWORK PROJECTSU54CA143874 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MIRNY, LEONID A · 2009 to 2013
$15.1M
Harvard Genome Characterization CenterU24CA144025 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI KUCHERLAPATI, RAJU S. · 2009 to 2016
$14.0M
NCI NIH HHS U24CA143845NCI NIH HHS U24CA143867NCI NIH HHS U24CA144025NCI NIH HHS U54 CA143874NCI NIH HHS U54CA143874
6 · The paper itself

Abstract

The accumulation of data on structural variation in cancer genomes provides an opportunity to better understand the mechanisms of genomic alterations and the forces of selection that act upon these alterations in cancer. Here we test evidence supporting the influence of two major forces, spatial chromosome structure and purifying (or negative) selection, on the landscape of somatic copy-number alterations (SCNAs) in cancer. Using a maximum likelihood approach, we compare SCNA maps and three-dimensional genome architecture as determined by genome-wide chromosome conformation capture (HiC) and described by the proposed fractal-globule model. This analysis suggests that the distribution of chromosomal alterations in cancer is spatially related to three-dimensional genomic architecture and that purifying selection, as well as positive selection, influences SCNAs during somatic evolution of cancer cells.

Indexed as

Chromosome AberrationsAneuploidyChromatinClonal EvolutionDNA Copy Number VariationsDNA DamageGenome, HumanHumansModels, TheoreticalNeoplasmsNucleic Acid ConformationChromatin

Identifiers

PMID22101486
PMCPMC3268007
OpenAlexW2140951889

What OpenQuestion holds

Textmetadata
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.