Evidence map›Paper›PMID 21727940›Full record

ReviewNature reviews. Neurology2011

Integration and analysis of genome-scale data from gliomas.

Gregory Riddick, Howard A Fine

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Neurology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
  2. Self-Assembled Aza-Boron-Dipyrromethene-Based HAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

2 authors at 1 institution in 1 country.

Gregory RiddickThe Neuro-Oncology Branch, National Cancer Institute, National Institute of Neurological Disease and Stroke, National Institutes of Health, The Bloch Building, 9030 Old Georgetown Road, Bethesda, MD 20892, USA.
Howard A Fine
National Institutes of Health · US

Funding

Brain Tumor Animal Therapeutics CoreZICBC011086 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GRESS, RONALD · 2009 to 2014
$5.1M
Identifying New Glioma-Associated Tumor Suppressors and OncogenesZIABC011101 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GRESS, RONALD · 2009 to 2014
$3.3M
The Glioma Molecular Diagnostic Initiative: Characterizing Brain Tumor DataZIASC010100 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI FINE, HOWARD · 2009 to 2012
$3.2M
Exploring the Therapeutic Potential of Stem Cell Biology in GliomasZIABC010839 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GRESS, RONALD · 2009 to 2014
$3.1M
The Role of miRNAs in Glioma Stem Cell and Glioma BiologyZIABC011102 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FINE, HOWARD · 2009 to 2012
$2.9M
SCF as a Novel CNS and Glioma-Derived Angiogenic Factor and SC Chemotaxic FactorZIABC011100 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FINE, HOWARD · 2009 to 2012
$2.7M
Exploring the Therapeutic Potential of Stem Cell Biology in GliomasZ01BC010839 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FINE, HOWARD · 2007 to 2008
$2.7M
Canine Glioma and Embryonic Neural Stem Cell ProjectZIABC011099 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FINE, HOWARD · 2009 to 2012
$2.5M
Elucidation and Exploitation of GSK3 as a Novel Glioma Therapeutic TargetZIABC010840 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FINE, HOWARD · 2009 to 2012
$2.4M
Intramural NIH HHS Z01 BC010839
6 · The paper itself

Abstract

Primary brain tumors are a leading cause of cancer-related mortality among young adults and children. The most common primary malignant brain tumor, glioma, carries a median survival of only 14 months. Two major multi-institutional programs, the Glioma Molecular Diagnostic Initiative and The Cancer Genome Atlas, have pursued a comprehensive genomic characterization of a large number of clinical glioma samples using a variety of technologies to measure gene expression, chromosomal copy number alterations, somatic and germline mutations, DNA methylation, microRNA, and proteomic changes. Classification of gliomas on the basis of gene expression has revealed six major subtypes and provided insights into the underlying biology of each subtype. Integration of genome-wide data from different technologies has been used to identify many potential protein targets in this disease, while increasing the reliability and biological interpretability of results. Mapping genomic changes onto both known and inferred cellular networks represents the next level of analysis, and has yielded proteins with key roles in tumorigenesis. Ultimately, the information gained from these approaches will be used to create customized therapeutic regimens for each patient based on the unique genomic signature of the individual tumor. In this Review, we describe efforts to characterize gliomas using genomic data, and consider how insights gained from these analyses promise to increase understanding of the biological underpinnings of the disease and lead the way to new therapeutic strategies.

Indexed as

GenomicsBrain NeoplasmsComputational BiologyData Interpretation, StatisticalEpigenomicsGene DosageGene Expression ProfilingGliomaHumansMicroRNAsPrecision MedicineProteomicsMicroRNAs

Identifiers

PMID21727940
PMCPMC6980233
OpenAlexW1975655094

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.