Evidence map›Paper›PMID 29500406›Full record

ArticleBritish journal of cancer2018

DNMTi/HDACi combined epigenetic targeted treatment induces reprogramming of myeloma cells in the direction of normal plasma cells.

Angelique Bruyer, Ken Maes, Laurie Herviou, Alboukadel Kassambara, Anja Seckinger, Guillaume Cartron, Thierry Rème, Nicolas Robert, Guilhem Requirand, Stéphanie Boireau and 10 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 39 citations in OpenAlex.

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  8. HDAC7: a promising target in cancer.Frontiers in oncology · 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

20 authors at 5 institutions in 3 countries.

Angelique BruyerIGH, CNRS, Univ Montpellier, Montpellier, France.
Ken MaesLaboratory of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, Brussels, Belgium.
Laurie HerviouIGH, CNRS, Univ Montpellier, Montpellier, France.
Alboukadel KassambaraIGH, CNRS, Univ Montpellier, Montpellier, France.
Anja SeckingerDept. of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Guillaume CartronUFR de Médecine, Univ Montpellier, Montpellier, France.
Thierry RèmeIGH, CNRS, Univ Montpellier, Montpellier, France.
Nicolas RobertDepartment of Biological Haematology, CHU Montpellier, Montpellier, France.
Guilhem RequirandDepartment of Biological Haematology, CHU Montpellier, Montpellier, France.
Stéphanie BoireauDepartment of Biological Haematology, CHU Montpellier, Montpellier, France.
Carsten Müller-TidowDept. of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Jean-Luc VeyruneIGH, CNRS, Univ Montpellier, Montpellier, France.
Laure VincentDepartment of Clinical Hematology, CHU Montpellier, Montpellier, France.
Salahedine BouhyaDepartment of Clinical Hematology, CHU Montpellier, Montpellier, France.
Hartmut GoldschmidtDept. of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Karin VanderkerkenLaboratory of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, Brussels, Belgium.
Dirk HoseDept. of Internal Medicine V, University of Heidelberg, Heidelberg, Germany.
Bernard KleinIGH, CNRS, Univ Montpellier, Montpellier, France.
Elke De BruyneLaboratory of Hematology and Immunology, Myeloma Center Brussels, Vrije Universiteit Brussel, Brussels, Belgium.
Jerome MoreauxIGH, CNRS, Univ Montpellier, Montpellier, France. jerome.moreaux@igh.cnrs.fr.
Centre Hospitalier Universitaire de Montpellier · FRCentre National de la Recherche Scientifique · FRHeidelberg University · DEUniversité de Montpellier · FRVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is the second most common hematologic malignancy. Aberrant epigenetic modifications have been reported in MM and could be promising therapeutic targets. As response rates are overall limited but deep responses occur, it is important to identify those patients who could indeed benefit from epigenetic-targeted therapy.

methodsSince HDACi and DNMTi combination have potential therapeutic value in MM, we aimed to build a GEP-based score that could be useful to design future epigenetic-targeted combination trials. In addition, we investigated the changes in GEP upon HDACi/DNMTi treatment.

resultsWe report a new gene expression-based score to predict MM cell sensitivity to the combination of DNMTi/HDACi. A high Combo score in MM patients identified a group with a worse overall survival but a higher sensitivity of their MM cells to DNMTi/HDACi therapy compared to a low Combo score. In addition, treatment with DNMTi/HDACi downregulated IRF4 and MYC expression and appeared to induce a mature BMPC plasma cell gene expression profile in myeloma cell lines.

conclusionIn conclusion, we developed a score for the prediction of primary MM cell sensitivity to DNMTi/HDACi and found that this combination could be beneficial in high-risk patients by targeting proliferation and inducing maturation.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsCell DifferentiationCellular ReprogrammingEpigenesis, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHistone Deacetylase InhibitorsHumansMiceMice, Inbred C57BLMicroarray AnalysisMolecular Targeted TherapyMultiple MyelomaPlasma CellsResearch DesignHistone Deacetylase Inhibitors

Identifiers

PMID29500406
PMCPMC5931098
OpenAlexW2794128057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.