Evidence map›Paper›PMID 21527027›Full record

ArticleGenome biology2011

GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers.

Craig H Mermel, Steven E Schumacher, Barbara Hill, Matthew L Meyerson, Rameen Beroukhim, Gad Getz

Abstract read
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2,333 papers.

0numbers the graph read from it
0cells of the map it votes in
2,333citing papers in PubMed
–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

2,333 citing papers in PubMed.

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  4. Identifying Locally Recurrent Versus Second Primary Breast Cancer: Genomic Versus Clinical Criteria from Carolina Breast Cancer Study Phase III.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  11. Cells · 2026
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2,273 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Craig H MermelCancer Program, The Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA.
Steven E Schumacher
Barbara Hill
Matthew L Meyerson
Rameen Beroukhim
Gad Getz

Funding

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
High-resolution genome-wide mapping of structural mutations in prostate cancerK08CA122833 · NCI · DANA-FARBER CANCER INST · PI BEROUKHIM, RAMEEN · 2007 to 2011
$697k
NCI NIH HHS K08CA122833NCI NIH HHS U24CA143867NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32GM07753
6 · The paper itself

Abstract

We describe methods with enhanced power and specificity to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, we improve the estimation of background rates for each category. We additionally describe a probabilistic method for defining the boundaries of selected-for SCNA regions with user-defined confidence. Here we detail this revised computational approach, GISTIC2.0, and validate its performance in real and simulated datasets.

Indexed as

SoftwareAlgorithmsComputational BiologyComputer SimulationGene DosageHumansModels, TheoreticalNeoplasmsTumor Suppressor ProteinsTumor Suppressor Proteins

Identifiers

PMID21527027
PMCPMC3218867

What OpenQuestion holds

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Registered trials

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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.