Evidence map›Paper›PMID 20209125›Full record

SynthesisPloS one2010

Integrative meta-analysis of differential gene expression in acute myeloid leukemia.

Brady G Miller, John A Stamatoyannopoulos

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  13. Using bioinformatic approaches to identify pathways targeted by human leukemogens.International journal of environmental research and public health · 2012
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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.

Brady G MillerDepartment of Hematology, University of Washington, Seattle, Washington, United States of America.
John A Stamatoyannopoulos
University of Washington · US

Funding

RESEARCH TRAINING IN HEMATOLOGYT32HL007093 · NHLBI · UNIVERSITY OF WASHINGTON · PI Janis L Abkowitz · 1985 to 2026
$13.9M
NHLBI NIH HHS 5T32HL007093NHLBI NIH HHS T32 HL007093
6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is a heterogeneous disease with an overall poor prognosis. Gene expression profiling studies of patients with AML has provided key insights into disease pathogenesis while exposing potential diagnostic and prognostic markers and therapeutic targets. A systematic comparison of the large body of gene expression profiling studies in AML has the potential to test the extensibility of conclusions based on single studies and provide further insights into AML. METHODOLOGY/PRINCIPAL

findingsIn this study, we systematically compared 25 published reports of gene expression profiling in AML. There were a total of 4,918 reported genes of which one third were reported in more than one study. We found that only a minority of reported prognostically-associated genes (9.6%) were replicated in at least one other study. In a combined analysis, we comprehensively identified both gene sets and functional gene categories and pathways that exhibited significant differential regulation in distinct prognostic categories, including many previously unreported associations. CONCLUSIONS/SIGNIFICANCE: We developed a novel approach for granular, cross-study analysis of gene-by-gene data and their relationships with established prognostic features and patient outcome. We identified many robust novel prognostic molecular features in AML that were undetected in prior studies, and which provide insights into AML pathogenesis with potential diagnostic, prognostic, and therapeutic implications. Our database and integrative analysis are available online (http://gat.stamlab.org).

Indexed as

Gene Expression Regulation, LeukemicChromosome MappingCluster AnalysisCytogeneticsDatabases, GeneticGene Expression ProfilingHumansLeukemia, Myeloid, AcutePrognosis

Identifiers

PMID20209125
PMCPMC2830886
OpenAlexW2069778960

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.