Evidence map›Paper›PMID 26046539›Full record

ArticlePloS one2015

Developing Molecular Signatures for Chronic Lymphocytic Leukemia.

Edouard Cornet, Agathe Debliquis, Valérie Rimelen, Natacha Civic, Mylène Docquier, Xavier Troussard, Bernard Drénou, Thomas Matthes

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Edouard CornetCHU Caen, Laboratory of Hematology, 14000, Caen, France; University of Caen, Medical School, 14000, Caen, France.
Agathe DebliquisDépartement d'Hématologie, Hôpital de Mulhouse, 68051, Mulhouse, France.
Valérie RimelenDépartement d'Hématologie, Hôpital de Mulhouse, 68051, Mulhouse, France.
Natacha CivicGenomics Platform iGE3, University Medical Center, 1211, Geneva, Switzerland.
Mylène DocquierGenomics Platform iGE3, University Medical Center, 1211, Geneva, Switzerland.
Xavier TroussardCHU Caen, Laboratory of Hematology, 14000, Caen, France; University of Caen, Medical School, 14000, Caen, France.
Bernard DrénouDépartement d'Hématologie, Hôpital de Mulhouse, 68051, Mulhouse, France.
Thomas MatthesHematology Service, University Hospital Geneva, 1211, Geneva, Switzerland; Clinical Pathology Service, University Hospital Geneva, 1211, Geneva, Switzerland.
Centre Hospitalier de Mulhouse · FRCentre Hospitalier Universitaire de Caen · FRUniversité de Caen Normandie · FRUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) is a clonal malignancy of mature B cells that displays a great clinical heterogeneity, with many patients having an indolent disease that will not require intervention for many years, while others present an aggressive and symptomatic leukemia requiring immediate treatment. Although there is no cure for CLL, the disease is treatable and current standard chemotherapy regimens have been shown to prolong survival. Recent advances in our understanding of the biology of CLL have led to the identification of numerous cellular and molecular markers with potential diagnostic, prognostic and therapeutic significance. We have used the recently developed digital multiplexed gene-expression technique (DMGE) to analyze a cohort of 30 CLL patients for the presence of specific genes with known diagnostic and prognostic potential. Starting from a set of 290 genes we were able to develop a molecular signature, based on the analysis of 13 genes, which allows distinguishing CLL from normal peripheral blood and from normal B cells, and a second signature based on 24 genes, which distinguishes mutated from unmutated cases (LymphCLL Mut). A third classifier (LymphCLL Diag), based on a 44-gene signature, distinguished CLL cases from a series of other B-cell chronic lymphoproliferative disorders (n = 51). While the methodology presented here has the potential to provide a "ready to use" classification tool in routine diagnostics and clinical trials, application to larger sample numbers are still needed and should provide further insights about its robustness and utility in clinical practice.

Indexed as

TranscriptomeAntigens, CDBiomarkers, TumorB-LymphocytesCohort StudiesGene ExpressionHumansImmunoglobulin Heavy ChainsLeukemia, Lymphocytic, Chronic, B-CellMutationNeoplasm ProteinsPrognosisRNA, MessengerAntigens, CDBiomarkers, TumorImmunoglobulin Heavy ChainsNeoplasm ProteinsRNA, Messenger

Identifiers

PMID26046539
PMCPMC4457530
OpenAlexW1591131124

What OpenQuestion holds

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LicenceCC BY
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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.