Evidence map›Paper›PMID 38865276›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Histone ADP-ribosylation promotes resistance to PARP inhibitors by facilitating PARP1 release from DNA lesions.

Siham Zentout, Victor Imburchia, Catherine Chapuis, Lena Duma, Kira Schützenhofer, Evgeniia Prokhorova, Ivan Ahel, Rebecca Smith, Sébastien Huet

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

9 authors.

Siham ZentoutUniversity of Rennes, CNRS, Institut de génétique et développement de Rennes-UMR 6290, Biologie, Santé, Innovation Technologique (BIOSIT)-UMS3480, Rennes F-35000, France.
Victor ImburchiaUniversity of Rennes, CNRS, Institut de génétique et développement de Rennes-UMR 6290, Biologie, Santé, Innovation Technologique (BIOSIT)-UMS3480, Rennes F-35000, France.ORCID 0009-0008-5107-0419
Catherine ChapuisUniversity of Rennes, CNRS, Institut de génétique et développement de Rennes-UMR 6290, Biologie, Santé, Innovation Technologique (BIOSIT)-UMS3480, Rennes F-35000, France.ORCID 0000-0002-3765-0969
Lena DumaSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.ORCID 0000-0003-4373-5106
Kira SchützenhoferSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.
Evgeniia ProkhorovaSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.
Ivan AhelSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom.ORCID 0000-0002-9446-3756
Rebecca SmithUniversity of Rennes, CNRS, Institut de génétique et développement de Rennes-UMR 6290, Biologie, Santé, Innovation Technologique (BIOSIT)-UMS3480, Rennes F-35000, France.
Sébastien HuetUniversity of Rennes, CNRS, Institut de génétique et développement de Rennes-UMR 6290, Biologie, Santé, Innovation Technologique (BIOSIT)-UMS3480, Rennes F-35000, France.ORCID 0000-0002-3978-0003

Funding

Agence Nationale de la Recherche (ANR) ANR-22-CE12-0039Cancer Research UK 22284Cancer Research United Kingdom C35050/A22284Fondation ARC pour la Recherche sur le Cancer (ARC) ARCDOC42022010004560Fondation ARC pour la Recherche sur le Cancer (ARC) ARCPJA2022060005190Fondation ARC pour la Recherche sur le Cancer (ARC) PDF20181208405Institut National Du Cancer (INCa) PLBIO-2019Ligue Contre le Cancer (French League Against Cancer) CD53Ovarian Cancer Research Alliance (OCRA) 813369UKRI | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R007195/1Wellcome TrustWellcome Trust 210634Wellcome Trust 223107
6 · The paper itself

Abstract

Poly(ADP-ribose) polymerase 1 (PARP1) has emerged as a central target for cancer therapies due to the ability of PARP inhibitors to specifically kill tumors deficient for DNA repair by homologous recombination. Upon DNA damage, PARP1 quickly binds to DNA breaks and triggers ADP-ribosylation signaling. ADP-ribosylation is important for the recruitment of various factors to sites of damage, as well as for the timely dissociation of PARP1 from DNA breaks. Indeed, PARP1 becomes trapped at DNA breaks in the presence of PARP inhibitors, a mechanism underlying the cytotoxitiy of these inhibitors. Therefore, any cellular process influencing trapping is thought to impact PARP inhibitor efficiency, potentially leading to acquired resistance in patients treated with these drugs. There are numerous ADP-ribosylation targets after DNA damage, including PARP1 itself as well as histones. While recent findings reported that the automodification of PARP1 promotes its release from the DNA lesions, the potential impact of other ADP-ribosylated proteins on this process remains unknown. Here, we demonstrate that histone ADP-ribosylation is also crucial for the timely dissipation of PARP1 from the lesions, thus contributing to cellular resistance to PARP inhibitors. Considering the crosstalk between ADP-ribosylation and other histone marks, our findings open interesting perspectives for the development of more efficient PARP inhibitor-driven cancer therapies.

Indexed as

ADP-RibosylationHistonesPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsCell Line, TumorDNA DamageDrug Resistance, NeoplasmHumansPoly(ADP-ribose) PolymerasesHistonesPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesADP-ribosylationchromatinDNA repairfluorescence microscopyPARP1

Identifiers

PMID38865276
PMCPMC11194589

What OpenQuestion holds

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Registered trials

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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.