Evidence map›Paper›PMID 26817437›Full record

ArticleJournal of hematology & oncology2016

GEP analysis validates high risk MDS and acute myeloid leukemia post MDS mice models and highlights novel dysregulated pathways.

Laura Guerenne, Stéphanie Beurlet, Mohamed Said, Petra Gorombei, Carole Le Pogam, Fabien Guidez, Pierre de la Grange, Nader Omidvar, Valérie Vanneaux, Ken Mills and 8 more

Abstract read
In one paragraph

Article in Journal of hematology & oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

18 authors.

Laura GuerenneUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. lguerenne@gmail.com.
Stéphanie BeurletUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. stephanie.beurlet@free.fr.
Mohamed SaidDepartment of Haematological Medicine, King's College London and Kings College Hospital, London, UK. malih100@gmail.com.
Petra GorombeiUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. Petra.gorombei@gmail.com.
Carole Le PogamUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. clp_5@hotmail.com.
Fabien GuidezUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. fabien.guidez@inserm.fr.
Pierre de la GrangeGenoSplice technology, iPEPS-ICM, Hôpital de la Pitié Salpêtrière, Paris, France. pierre.delagrange@genosplice.com.
Nader OmidvarHaematology Department, Cardiff University School of Medicine, Cardiff, UK. omidvarn@Cardiff.ac.uk.
Valérie VanneauxAssistance Publique-Hôpitaux de Paris (AP-HP), Unité de Thérapie Cellulaire, Hôpital Saint Louis, Paris, France. valerie.vanneaux@sls.aphp.fr.
Ken MillsCentre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK. k.mills@qub.ac.uk.
Ghulam J MuftiDepartment of Haematological Medicine, King's College London and Kings College Hospital, London, UK. ghulam.mufti@kcl.ac.uk.
Laure Sarda-MantelUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie Hôpital Saint Louis, Paris, France. laure.sarda@inserm.fr.
Maria Elena NogueraAssistance Publique-Hôpitaux de Paris (AP-HP), Laboratoire d'Hématologie, Hôpital Saint Louis, Paris, France. maria-elena.noguera@sls.aphp.fr.
Marika PlaUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. Marika.Pla@inserm.fr.
Pierre FenauxUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. pierre.fenaux@sls.aphp.fr.
Rose Ann PaduaUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. Rose-Ann.Padua@inserm.fr.
Christine ChomienneUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. christine.chomienne@sls.aphp.fr.
Patricia KriefUniversité Paris-Diderot, Sorbonne Paris Cité, Institut Universitaire d'Hématologie, Unité Mixte de Recherche (UMR-S) 1131, Paris, France. patricia.krief@inserm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn spite of the recent discovery of genetic mutations in most myelodysplasic (MDS) patients, the pathophysiology of these disorders still remains poorly understood, and only few in vivo models are available to help unravel the disease.

methodsWe performed global specific gene expression profiling and functional pathway analysis in purified Sca1+ cells of two MDS transgenic mouse models that mimic human high-risk MDS (HR-MDS) and acute myeloid leukemia (AML) post MDS, with NRASD12 and BCL2 transgenes under the control of different promoters MRP8NRASD12/tethBCL-2 or MRP8[NRASD12/hBCL-2], respectively.

resultsAnalysis of dysregulated genes that were unique to the diseased HR-MDS and AML post MDS mice and not their founder mice pointed first to pathways that had previously been reported in MDS patients, including DNA replication/damage/repair, cell cycle, apoptosis, immune responses, and canonical Wnt pathways, further validating these models at the gene expression level. Interestingly, pathways not previously reported in MDS were discovered. These included dysregulated genes of noncanonical Wnt pathways and energy and lipid metabolisms. These dysregulated genes were not only confirmed in a different independent set of BM and spleen Sca1+ cells from the MDS mice but also in MDS CD34+ BM patient samples.

conclusionsThese two MDS models may thus provide useful preclinical models to target pathways previously identified in MDS patients and to unravel novel pathways highlighted by this study.

Indexed as

Acute DiseaseAnimalsDisease Models, AnimalGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLeukemia, MyeloidMiceMice, TransgenicMyelodysplastic SyndromesOligonucleotide Array Sequence AnalysisReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRisk FactorsSignal Transduction

Identifiers

PMID26817437
PMCPMC4728810

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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.