Evidence map›Paper›PMID 21555372›Full record

ArticleCancer research2011

Correlation of somatic mutation and expression identifies genes important in human glioblastoma progression and survival.

David L Masica, Rachel Karchin

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

100 citing papers in PubMed, 1 synthesis or guideline pooled it, 166 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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  13. Glioblastoma CD105Acta neuropathologica communications · 2022
    Article
  14. Article
  15. Biomedicines · 2021
    Article
  16. Review
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  18. Article
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  20. Article

40 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

2 authors at 1 institution in 1 country.

David L MasicaDepartment of Biomedical Engineering and Institute for Computational Medicine, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Rachel Karchin
Johns Hopkins Medicine · US

Funding

A Computational Platform for Analyzing and Visualizing Integrated TCGA Data in thR21CA135870 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2008 to 2009
$522k
Tools for Large-Scale Analysis of Driver PathwaysR21CA135877 · NCI · JOHNS HOPKINS UNIVERSITY · PI KARCHIN, RACHEL · 2008 to 2009
$406k
NCI NIH HHS CA135877NCI NIH HHS R21 CA135870NCI NIH HHS R21 CA135877
6 · The paper itself

Abstract

Cooperative dysregulation of gene sequence and expression may contribute to cancer formation and progression. The Cancer Genome Atlas (TCGA) Network recently catalogued gene sequence and expression data for a collection of glioblastoma multiforme (GBM) tumors. We developed an automated, model-free method to rapidly and exhaustively examine the correlation among somatic mutation and gene expression and interrogated 149 GBM tumor samples from the TCGA. The method identified 41 genes whose mutation status is highly correlated with drastic changes in the expression (z-score ± 2.0), across tumor samples, of other genes. Some of the 41 genes have been previously implicated in GBM pathogenesis (e.g., NF1, TP53, RB1, and IDH1) and others, while implicated in cancer, had not previously been highlighted in studies using TCGA data (e.g., SYNE1, KLF6, FGFR4, and EPHB4). The method also predicted that known oncogenes and tumor suppressors participate in GBM via drastic over- and underexpression, respectively. In addition, the method identified a known synthetic lethal interaction between TP53 and PLK1, other potential synthetic lethal interactions with TP53, and correlations between IDH1 mutation status and the overexpression of known GBM survival genes.

Indexed as

MutationAlgorithmsCytoskeletal ProteinsDisease ProgressionDNA Mutational AnalysisGene ExpressionGene Regulatory NetworksGenes, p53GenomicsGlioblastomaHumansIsocitrate DehydrogenaseNerve Tissue ProteinsNuclear ProteinsCytoskeletal ProteinsIDH1 protein, humanIsocitrate DehydrogenaseNerve Tissue ProteinsNuclear ProteinsSYNE1 protein, human

Identifiers

PMID21555372
PMCPMC3129415
OpenAlexW2120010359

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.