Evidence map›Paper›PMID 24883311›Full record

ArticleBioMed research international2014

Identification of a 20-gene expression-based risk score as a predictor of clinical outcome in chronic lymphocytic leukemia patients.

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

Abstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

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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

4 authors.

Elias Bou SamraINSERM, U1040, F-34197, Institute of Research in Biotherapy, CHU Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier Cedex, France.
Bernard KleinINSERM, U1040, F-34197, Institute of Research in Biotherapy, CHU Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier Cedex, France ; CHU Montpellier, Institute of Research in Biotherapy, Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier, France ; Université Montpellier 1, UFR Médecine, Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier, France.
Thérèse CommesINSERM, U1040, F-34197, Institute of Research in Biotherapy, CHU Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier Cedex, France ; Institut de Biologie Computationnelle, Université Montpellier 2, 2 Place Eugène Bataillon, 34095 Montpellier Cedex 5, France.
Jérôme MoreauxINSERM, U1040, F-34197, Institute of Research in Biotherapy, CHU Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier Cedex, France ; CHU Montpellier, Institute of Research in Biotherapy, Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier, France ; Université Montpellier 1, UFR Médecine, Montpellier, 80 Avenue Augustin Fliche, 34285 Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the improvement in treatment options, chronic lymphocytic leukemia (CLL) remains an incurable disease and patients show a heterogeneous clinical course requiring therapy for many of them. In the current work, we have built a 20-gene expression (GE)-based risk score predictive for patients overall survival and improving risk classification using microarray gene expression data. GE-based risk score allowed identifying a high-risk group associated with a significant shorter overall survival (OS) and time to treatment (TTT) (P ≤ .01), comprising 19.6% and 13.6% of the patients in two independent cohorts. GE-based risk score, and NRIP1 and TCF7 gene expression remained independent prognostic factors using multivariate Cox analyses and combination of GE-based risk score together with NRIP1 and TCF7 gene expression enabled the identification of three clinically distinct groups of CLL patients. Therefore, this GE-based risk score represents a powerful tool for risk stratification and outcome prediction of CLL patients and could thus be used to guide clinical and therapeutic decisions prospectively.

Indexed as

Gene Expression Regulation, NeoplasticPrognosisAdaptor Proteins, Signal TransducingHumansLeukemia, Lymphocytic, Chronic, B-CellMicroarray AnalysisNeoplasm ProteinsNuclear ProteinsNuclear Receptor Interacting Protein 1Survival AnalysisT Cell Transcription Factor 1Treatment OutcomeAdaptor Proteins, Signal TransducingNeoplasm ProteinsNuclear ProteinsNuclear Receptor Interacting Protein 1T Cell Transcription Factor 1TCF7 protein, human

Identifiers

PMID24883311
PMCPMC4026849

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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.