Evidence map›Paper›PMID 29946373›Full record

ArticleClinical epigenetics2018

Assessment of new HDAC inhibitors for immunotherapy of malignant pleural mesothelioma.

Douae Bensaid, Thibaut Blondy, Sophie Deshayes, Virginie Dehame, Philippe Bertrand, Marc Grégoire, Mohammed Errami, Christophe Blanquart

Open access · goldAbstract readComparative Study
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 47 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Douae BensaidCRCINA, INSERM, Université d'Angers, Université de Nantes, Nantes, France.
Thibaut BlondyCRCINA, INSERM, Université d'Angers, Université de Nantes, Nantes, France.
Sophie DeshayesCRCINA, INSERM, Université d'Angers, Université de Nantes, Nantes, France.
Virginie DehameCRCINA, INSERM, Université d'Angers, Université de Nantes, Nantes, France.
Philippe BertrandInstitut de Chimie des Milieux et Matériaux de Poitiers, UMR CNRS 7285, 4 rue Michel Brunet, TSA 521106, B27, 86073, Poitiers, France.
Marc GrégoireCRCINA, INSERM, Université d'Angers, Université de Nantes, Nantes, France.
Mohammed ErramiLaboratory of Physiology and Physiopathology, Faculty of Sciences of Tetouan, Avenue de Sebta Mhannech II, 93002, Tetouan, BP, Morocco.
Christophe BlanquartCRCINA, INSERM, Université d'Angers, Université de Nantes, Nantes, France. christophe.blanquart@inserm.fr.ORCID 0000-0002-0917-3747
Inserm · FRCentre National de la Recherche Scientifique · FRÉcole Normale Supérieure de Tétouan · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malignant pleural mesothelioma (MPM) is a very rare and highly aggressive cancer of the pleura associated in most cases with asbestos exposure. To date, no really efficient treatments are available for this pathology. Recently, it has been shown that epigenetic drugs, particularly DNA methylation or histone acetylation modulating agents, could be very efficient in terms of cytotoxicity for several types of cancer cells. We previously showed that a hypomethylating agent (decitabine) and a histone deacetylase inhibitor (HDACi) (valproic acid (VPA)) combination was immunogenic and led to the induction of an anti-tumor immune response in a mice model of mesothelioma. However, VPA is not very specific, is active at millimolar concentrations and is responsible for side effects in clinic. To improve this approach, we studied four newly synthetized HDACi, two hydroxamates (ODH and NODH) and two benzamides (ODB and NODB), in comparison with VPA and SAHA. We evaluated their toxicity on immune cells and their immunogenicity on MPM cells in combination with decitabine. Results: All the tested HDACi were toxic for immune cells at high concentrations. Combination with decitabine increased toxicity of HDACi only towards T-cell clone. A decrease in the proportion of regulatory T cells and natural killer cells was observed in particular with VPA and ODH. In MPM cells, all HDACi combinations induced NY-ESO-1 cancer testis antigen (CTA) expression and the recognition of the treated cells by a NY-ESO-1 specific T-CD8 clone. However, for MAGE-A1, MAGE-A3 and XAGE-1b mRNA expression, the results obtained depended on the HDACi used and on the CTA studied. Depending on the MPM cell line studied, molecules alone increased moderately PD-L1 expression. When combined, a higher stimulation of this immune check point inhibitor expression was observed. Decitabine-induced anti-viral response seemed to be inhibited in the presence of HDACi. Conclusions: This work shows that the combination of decitabine and HDACi could be of interest for MPM immunotherapy. However, this combination induced PD-L1 expression which suggests that an association with anti-PD-L1 therapy should be performed to induce an efficient anti-tumor immune response.

Indexed as

B7-H1 AntigenBenzamidesCell Line, TumorCell ProliferationCell SurvivalDecitabineDNA MethylationDose-Response Relationship, DrugDrug Therapy, CombinationEpigenesis, GeneticGene Expression Regulation, NeoplasticHistone Deacetylase InhibitorsHumansHydroxamic AcidsImmunotherapyKiller Cells, NaturalB7-H1 AntigenBenzamidesCD274 protein, humanDecitabineHistone Deacetylase InhibitorsHydroxamic AcidsValproic AcidVorinostatCD8+ T-cell cloneDecitabine (5-aza-2′-deoxycytidine)Epigenetic drugsHDAC inhibitorsImmunotherapyMalignant pleural mesotheliomaPD-L1Tumor antigen

Identifiers

PMID29946373
PMCPMC6006850
OpenAlexW2807952969

What OpenQuestion holds

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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.