Evidence map›Paper›PMID 37524526›Full record

ArticleLife science alliance2023

Exploring the impact of dexamethasone on gene regulation in myeloma cells.

Victor Bessonneau-Gaborit, Jonathan Cruard, Catherine Guerin-Charbonnel, Jennifer Derrien, Jean-Baptiste Alberge, Elise Douillard, Magali Devic, Sophie Deshayes, Loïc Campion, Frank Westermann and 5 more

Open access · goldAbstract read
In one paragraph

Article in Life science alliance, 2023. 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
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

15 authors at 3 institutions in 2 countries.

Victor Bessonneau-GaboritUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Jonathan CruardUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Catherine Guerin-CharbonnelUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.ORCID https://orcid.org/0000-0001-7493-4314
Jennifer DerrienUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Jean-Baptiste AlbergeUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Elise DouillardUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Magali DevicUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.ORCID https://orcid.org/0000-0001-6254-3455
Sophie DeshayesUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Loïc CampionUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Frank WestermannHopp Children's Cancer Center Heidelberg, KITZ, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-1584-3636
Phillipe MoreauUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France.
Carl HerrmannHealth Data Science Unit, Medical Faculty Heidelberg and BioQuant, Heidelberg, Germany.
Jérémie BourdonUniversité de Nantes, LS2N, CNRS, Nantes, France.ORCID https://orcid.org/0000-0001-6674-8626
Florence MagrangeasUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France florence.magrangeas@chu-nantes.fr.ORCID https://orcid.org/0000-0002-5031-3748
Stéphane MinvielleUniversité de Nantes, CNRS, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, France stephane.minvielle@univ-nantes.fr.ORCID https://orcid.org/0000-0003-1389-312X
Centre National de la Recherche Scientifique · FRGerman Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among glucocorticoids (GCs), dexamethasone (Dex) is widely used in treatment of multiple myelomas. However, despite a definite benefit, all patients relapse. Moreover, the molecular basis of glucocorticoid efficacy remains elusive. To determine genomic response to Dex in myeloma cells, we generated bulk and single-cell multi-omics data and high-resolution contact maps of active enhancers and target genes. We show that a minority of glucocorticoid receptor-binding sites are associated with enhancer activity gains, increased interaction loops, and transcriptional activity. We identified and characterized a predominant enhancer enriched in cohesin (RAD21) and more accessible upon Dex exposure. Analysis of four gene-specific networks revealed the importance of the CTCF-cohesin couple and the synchronization of regulatory sequence openings for efficient transcription in response to Dex. Notably, these epigenomic changes are associated with cell-to-cell transcriptional heterogeneity, in particular, lineage-specific genes. As consequences,

Indexed as

DexamethasoneMultiple MyelomaApoptosisGlucocorticoidsHumansNeoplasm Recurrence, LocalReceptors, GlucocorticoidDexamethasoneGlucocorticoidsReceptors, Glucocorticoid

Identifiers

PMID37524526
PMCPMC10390781
OpenAlexW4385441930

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.