Evidence map›Paper›PMID 31988326›Full record

ArticleScientific reports2020

Depicting the genetic architecture of pediatric cancers through an integrative gene network approach.

Clara Savary, Artem Kim, Alexandra Lespagnol, Virginie Gandemer, Isabelle Pellier, Charlotte Andrieu, Gilles Pagès, Marie-Dominique Galibert, Yuna Blum, Marie de Tayrac

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A Novel Variant in theChildren (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Bimodal Age Distribution in Cancer Incidence.World journal of oncology · 2022
    Review
  10. Article
  11. Review
  12. Review
  13. Cohort SelectionCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Future Match Making: When Pediatric Oncology Meets Organoid Technology.Frontiers in cell and developmental biology · 2021
    Review
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

10 authors at 5 institutions in 2 countries.

Clara SavaryUniv Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France.
Artem KimUniv Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France.
Alexandra LespagnolSomatic Cancer Genetics Department, Pontchaillou University Hospital, Rennes, France.
Virginie GandemerUniv Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France.
Isabelle PellierPediatric Immuno-Hemato-Oncology Unit, Angers University Hospital, Angers, France.
Charlotte AndrieuMolecular Genetics and Genomics Department, Pontchaillou University Hospital, Rennes, France.
Gilles PagèsUniversity Côte d'Azur, IRCAN (Institute for Research on Cancer and Aging of Nice) - CNRS UMR 7284 and INSERM U1081, Centre Antoine Lacassagne, Nice, France.
Marie-Dominique GalibertUniv Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France.
Yuna Blum *Programme Cartes d'Identité des Tumeurs (CIT), Ligue Nationale Contre le Cancer, Paris, France.ORCID http://orcid.org/0000-0002-4716-8017
Marie de Tayrac *Univ Rennes, CNRS, IGDR (Institut de génétique et développement de Rennes) - UMR 6290, Rennes, France. marie.detayrac@univ-rennes1.fr.
Centre National de la Recherche Scientifique · FRCentre Hospitalier Universitaire d'Angers · FRCentre Hospitalier Universitaire de Rennes · FRInserm · FRLa Ligue Contre le Cancer · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic etiology of childhood cancers still remains largely unknown. It is therefore essential to develop novel strategies to unravel the spectrum of pediatric cancer genes. Statistical network modeling techniques have emerged as powerful methodologies for enabling the inference of gene-disease relationship and have been performed on adult but not pediatric cancers. We performed a deep multi-layer understanding of pan-cancer transcriptome data selected from the Treehouse Childhood Cancer Initiative through a co-expression network analysis. We identified six modules strongly associated with pediatric tumor histotypes that were functionally linked to developmental processes. Topological analyses highlighted that pediatric cancer predisposition genes and potential therapeutic targets were central regulators of cancer-histotype specific modules. A module was related to multiple pediatric malignancies with functions involved in DNA repair and cell cycle regulation. This canonical oncogenic module gathered most of the childhood cancer predisposition genes and clinically actionable genes. In pediatric acute leukemias, the driver genes were co-expressed in a module related to epigenetic and post-transcriptional processes, suggesting a critical role of these pathways in the progression of hematologic malignancies. This integrative pan-cancer study provides a thorough characterization of pediatric tumor-associated modules and paves the way for investigating novel candidate genes involved in childhood tumorigenesis.

Indexed as

Biomarkers, TumorChildChild, PreschoolComputational BiologyComputer SimulationDatabases, GeneticFemaleGene ExpressionGene Expression ProfilingGene Expression RegulationGene Expression Regulation, NeoplasticGene Regulatory NetworksGenetic Predisposition to DiseaseGenomicsHumansMaleBiomarkers, Tumor

Identifiers

PMID31988326
PMCPMC6985191
OpenAlexW3001943597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.