Evidence map›Paper›PMID 30089916›Full record

ArticleLeukemia2019

The stem cell-associated gene expression signature allows risk stratification in pediatric acute myeloid leukemia.

Nicolas Duployez, Alice Marceau-Renaut, Céline Villenet, Arnaud Petit, Alexandra Rousseau, Stanley W K Ng, Agnès Paquet, Fanny Gonzales, Adeline Barthélémy, Frédéric Leprêtre and 12 more

Abstract read
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In one paragraph

Article in Leukemia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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  10. Aberrant stem cell and developmental programs in pediatric leukemia.Frontiers in cell and developmental biology · 2024
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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

22 authors at 10 institutions in 2 countries.

Nicolas DuployezLaboratory of Hematology, CHU Lille, Lille, France. nicolas.duployez@chru-lille.fr.ORCID http://orcid.org/0000-0002-3927-1022
Alice Marceau-RenautLaboratory of Hematology, CHU Lille, Lille, France.
Céline VillenetFunctional Genomics Platform, Univ. Lille, Lille, France.
Arnaud PetitDepartment of Pediatric Hematology and Oncology, APHP, Trousseau Hospital, GH HUEP, Paris, France.
Alexandra RousseauDepartment of Clinical Pharmacology and Clinical Research Unit of East of Paris, APHP, Saint Antoine Hospital, Paris, France.
Stanley W K NgInstitute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Agnès PaquetIPMC, Université Côte d'Azur, CNRS, Valbonne, France.
Fanny GonzalesUMR-S 1172, JPArc - Jean-Pierre AUBERT Research Center Neurosciences et Cancer, Univ. Lille, Inserm, CHU Lille, Lille, France.
Adeline BarthélémyUMR-S 1172, JPArc - Jean-Pierre AUBERT Research Center Neurosciences et Cancer, Univ. Lille, Inserm, CHU Lille, Lille, France.
Frédéric LeprêtreFunctional Genomics Platform, Univ. Lille, Lille, France.
Nicolas PottierDepartment of Biochemistry, CHU Lille, Lille, France.
Brigitte NelkenDepartment of Pediatric Hematology-Oncology, CHU Lille, Lille, France.
Gérard MichelDepartment of Pediatric Hematology, CHU Marseille, La Timone, Marseille, France.
André BaruchelDepartment of Pediatric Hematology and Immunology, APHP, Robert Debré University Hospital, Paris, France.
Yves BertrandInstitute of Hematology and Oncology Pediatrics, Hospices Civils, Claude Bernard University, Lyon, France.
Guy LevergerFunctional Genomics Platform, Univ. Lille, Lille, France.
Hélène LapillonneLaboratory of Hematology, APHP, Trousseau Hospital, GH HUEP, Paris, France.
Martin FigeacFunctional Genomics Platform, Univ. Lille, Lille, France.
John E DickDepartment of Molecular Genetics, University of Toronto, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-9527-8317
Jean C Y WangDepartment of Molecular Genetics, University of Toronto, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-7543-3917
Claude PreudhommeLaboratory of Hematology, CHU Lille, Lille, France.
Meyling CheokUMR-S 1172, JPArc - Jean-Pierre AUBERT Research Center Neurosciences et Cancer, Univ. Lille, Inserm, CHU Lille, Lille, France. meyling.cheok@inserm.fr.ORCID http://orcid.org/0000-0002-7820-8026
Inserm · FRUniversité de Lille · FRAssistance Publique – Hôpitaux de Paris · FRCentre Hospitalier Universitaire de Lille · FRSorbonne Université · FRUniversity Health Network · CACentre National de la Recherche Scientifique · FRHôpital de la Timone · FRUniversité Claude Bernard Lyon 1 · FRUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite constant progress in prognostic risk stratification, children with acute myeloid leukemia (AML) still relapse. Treatment failure and subsequent relapse have been attributed to acute myeloid leukemia-initiating cells (LSC), which harbor stem cell properties and are inherently chemoresistant. Although pediatric and adult AML represent two genetically very distinct diseases, we reasoned that common LSC gene expression programs are shared and consequently, the highly prognostic LSC17 signature score recently developed in adults may also be of clinical interest in childhood AML. Here, we demonstrated prognostic relevance of the LSC17 score in pediatric non-core-binding factor AML using Nanostring technology (ELAM02) and RNA-seq data from the NCI (TARGET-AML). AML were stratified by LSC17 quartile groups (lowest 25%, intermediate 50% and highest 25%) and children with low LSC17 score had significantly better event-free survival (EFS: HR = 3.35 (95%CI = 1.64-6.82), P < 0.001) and overall survival (OS: HR = 3.51 (95%CI = 1.38-8.92), P = 0.008) compared with patients with high LSC17 scores. More importantly, the high LSC17 score was an independent negative EFS and OS prognosticator determined by multivariate Cox model analysis (EFS: HR = 3.42 (95% CI = 1.63-7.16), P = 0.001; OS HR = 3.02 (95%CI = 1.16-7.85), P = 0.026). In conclusion, we have demonstrated the broad applicability of the LSC17 score in the clinical management of AML by extending its prognostic relevance to pediatric AML.

Indexed as

TranscriptomeAdolescentBiomarkers, TumorCase-Control StudiesChildChild, PreschoolFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansInfantInfant, NewbornLeukemia, Myeloid, AcuteMaleNeoplastic Stem CellsBiomarkers, Tumor

Identifiers

PMID30089916
OpenAlexW2887418186

What OpenQuestion holds

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Read underepoch 390

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.