Evidence map›Paper›PMID 22910040›Full record

ArticleOncotarget2012

Development of gene expression-based risk score in cytogenetically normal acute myeloid leukemia patients.

Elias Bou Samra, Bernard Klein, Thérèse Commes, Jérôme Moreaux

Abstract read
In one paragraph

Article in Oncotarget, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Expression Pattern and Prognostic Significance ofIndian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2020
    Article
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  5. Article
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  11. Article
  12. Prognostic significance of theMolecular and clinical oncology · 2015
    Article
  13. Article
  14. Article
  15. Article
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

4 authors.

Elias Bou SamraGroupe d'études des transcriptomes, Université MONTPELLIER 2, Montpellier, F-34197 France .
Bernard Klein
Thérèse Commes
Jérôme Moreaux

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with normal karyotype represent the single largest cytogenetic group of acute myeloid leukemia (AML), with highly heterogeneous clinical and molecular characteristics. In this study, we sought to determine new prognostic biomarkers in cytogenetically normal (CN)-AML patients. A gene expression (GE)-based risk score was built, summing up the prognostic value of 22 genes whose expression is associated with a bad prognosis in a training cohort of 163 patients. GE-based risk score allowed identifying a high-risk group of patients (53.4%) in two independent cohorts of CN-AML patients. GE-based risk score and EVI1 gene expression remained independent prognostic factors using multivariate Cox analyses. Combining GE-based risk score with EVI1 gene expression allowed the identification of three clinically different groups of patients in two independent cohorts of CN-AML patients. Thus, GE-based risk score is powerful to predict clinical outcome for CN-AML patients and may provide potential therapeutic advances.

Indexed as

Gene ExpressionAdultBiomarkers, TumorCytogenetic AnalysisDisease-Free SurvivalDNA-Binding ProteinsGene Expression ProfilingHumansKaryotypeLeukemia, Myeloid, AcuteMDS1 and EVI1 Complex Locus ProteinNeoplasm ProteinsPrognosisProto-OncogenesRiskTrans-ActivatorsBAALC protein, humanBiomarkers, TumorDNA-Binding ProteinsERG protein, humanMDS1 and EVI1 Complex Locus ProteinMECOM protein, humanMN1 protein, humanNeoplasm ProteinsTrans-ActivatorsTranscriptional Regulator ERGTranscription FactorsTumor Suppressor Proteins

Identifiers

PMID22910040
PMCPMC3478459

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.