Evidence map›Paper›PMID 33069162›Full record

ArticlePediatric research2021

Deciphering molecular heterogeneity in pediatric AML using a cancer vs. normal transcriptomic approach.

Barbara Depreter, Barbara De Moerloose, Karl Vandepoele, Anne Uyttebroeck, An Van Damme, Eva Terras, Barbara Denys, Laurence Dedeken, Marie-Françoise Dresse, Jutte Van der Werff Ten Bosch and 3 more

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Article in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

13 authors.

Barbara DepreterDepartment of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium. barbara.depreter@uzbrussel.be.ORCID http://orcid.org/0000-0002-5019-1672
Barbara De MoerlooseDepartment of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.
Karl VandepoeleCancer Research Institute Ghent, Ghent, Belgium.
Anne UyttebroeckDepartment of Pediatrics, University Hospital Gasthuisberg, Leuven, Belgium.
An Van DammeDepartment of Pediatric Hematology Oncology, University Hospital Saint-Luc, Brussels, Belgium.
Eva TerrasDepartment of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium.
Barbara DenysDepartment of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium.
Laurence DedekenDepartment of Pediatric Hematology Oncology, Queen Fabiola Children's University Hospital, Brussels, Belgium.
Marie-Françoise DresseDepartment of Pediatric Hematology Oncology, University Hospital Liège, Liège, Belgium.
Jutte Van der Werff Ten BoschDepartment of Pediatric Hematology Oncology, University Hospital Brussel, Brussels, Belgium.
Mattias HofmansDepartment of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.
Jan PhilippéCancer Research Institute Ghent, Ghent, Belgium.
Tim LammensDepartment of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStill 30-40% of pediatric acute myeloid leukemia (pedAML) patients relapse. Delineation of the transcriptomic profile of leukemic subpopulations could aid in a better understanding of molecular biology and provide novel biomarkers.

methodsUsing microarray profiling and quantitative PCR validation, transcript expression was measured in leukemic stem cells (LSC, n = 24) and leukemic blasts (L-blast, n = 25) from pedAML patients in comparison to hematopoietic stem cells (HSCs, n = 19) and control myeloblasts (C-blast, n = 20) sorted from healthy subjects. Gene set enrichment analysis was performed to identify relevant gene set enrichment signatures, and functional protein associations were identified by STRING analysis.

resultsHighly significantly overexpressed genes in LSC and L-blast were identified with a vast majority not studied in AML. CDKN1A, CFP, and CFD (LSC) and HOMER3, CTSA, and GADD45B (L-blast) represent potentially interesting biomarkers and therapeutic targets. Eleven LSC downregulated targets were identified that potentially qualify as tumor suppressor genes, with MYCT1, PBX1, and PTPRD of highest interest. Inflammatory and immune dysregulation appeared to be perturbed biological networks in LSC, whereas dysregulated metabolic profiles were observed in L-blast.

conclusionOur study illustrates the power of taking into account cell population heterogeneity and reveals novel targets eligible for functional evaluation and therapy in pedAML. IMPACT: Novel transcriptional targets were discovered showing a significant differential expression in LSCs and blasts from pedAML patients compared to their normal counterparts from healthy controls. Deregulated pathways, including immune and metabolic dysregulation, were addressed for the first time in children, offering a deeper understanding of the molecular pathogenesis. These novel targets have the potential of acting as biomarkers for risk stratification, follow-up, and targeted therapy. Multiple LSC-downregulated targets endow tumor suppressor roles in other cancer entities, and further investigation whether hypomethylating therapy could result into LSC eradication in pedAML is warranted.

Indexed as

Genetic HeterogeneityTranscriptomeAdolescentBiomarkersCase-Control StudiesChildChild, PreschoolFemaleHumansInfantLeukemia, Myeloid, AcuteMaleBiomarkers

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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.