Evidence map›Paper›PMID 32066817›Full record

ArticleScientific reports2020

The kinase polypharmacology landscape of clinical PARP inhibitors.

Albert A Antolin, Malaka Ameratunga, Udai Banerji, Paul A Clarke, Paul Workman, Bissan Al-Lazikani

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 80 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 3% 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

80 citing papers in PubMed, 2 syntheses or guidelines pooled it, 117 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. BCLXSignal transduction and targeted therapy · 2026
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  7. NADAlzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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20 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Albert A AntolinDepartment of Data Science, The Institute of Cancer Research, London, SM2 5NG, UK. Albert.Antolin@icr.ac.uk.ORCID http://orcid.org/0000-0002-1634-9034
Malaka AmeratungaDrug Development Unit, The Institute of Cancer Research, London, SM2 5NG, UK.ORCID https://orcid.org/0000-0002-7171-6781
Udai BanerjiDrug Development Unit, The Institute of Cancer Research, London, SM2 5NG, UK.ORCID http://orcid.org/0000-0003-1503-3123
Paul A ClarkeCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, SM2 5NG, UK.ORCID http://orcid.org/0000-0001-9342-1290
Paul WorkmanCancer Research UK Cancer Therapeutics Unit, The Institute of Cancer Research, London, SM2 5NG, UK. Paul.Workman@icr.ac.uk.ORCID https://orcid.org/0000-0003-1659-3034
Bissan Al-LazikaniDepartment of Data Science, The Institute of Cancer Research, London, SM2 5NG, UK. Bissan.Al-Lazikani@icr.ac.uk.ORCID https://orcid.org/0000-0003-3367-2519
Institute of Cancer Research · GB

Funding

Cancer Research UK 11566Cancer Research UK 22897Cancer Research UK 23187Wellcome TrustWellcome Trust 204735/Z/16/Z
6 · The paper itself

Abstract

Polypharmacology plays an important role in defining response and adverse effects of drugs. For some mechanisms, experimentally mapping polypharmacology is commonplace, although this is typically done within the same protein class. Four PARP inhibitors have been approved by the FDA as cancer therapeutics, yet a precise mechanistic rationale to guide clinicians on which to choose for a particular patient is lacking. The four drugs have largely similar PARP family inhibition profiles, but several differences at the molecular and clinical level have been reported that remain poorly understood. Here, we report the first comprehensive characterization of the off-target kinase landscape of four FDA-approved PARP drugs. We demonstrate that all four PARP inhibitors have a unique polypharmacological profile across the kinome. Niraparib and rucaparib inhibit DYRK1s, CDK16 and PIM3 at clinically achievable, submicromolar concentrations. These kinases represent the most potently inhibited off-targets of PARP inhibitors identified to date and should be investigated further to clarify their potential implications for efficacy and safety in the clinic. Moreover, broad kinome profiling is recommended for the development of PARP inhibitors as PARP-kinase polypharmacology could potentially be exploited to modulate efficacy and side-effect profiles.

Indexed as

Antineoplastic AgentsBinding SitesCyclin-Dependent KinasesDyrk KinasesHEK293 CellsHumansIndazolesIndolesIsoenzymesMolecular Docking SimulationNeoplasmsPhthalazinesPiperazinesPiperidinesPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsAntineoplastic AgentsCyclin-Dependent KinasesDyrk KinasesIndazolesIndolesIsoenzymesniraparibolaparibPARP1 protein, humanPCTAIRE-1 protein kinasePhthalazinesPIM3 protein, humanPiperazinesPiperidinesPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsProtein Serine-Threonine KinasesProtein-Tyrosine KinasesProto-Oncogene Proteinsrucaparibtalazoparib

Identifiers

PMID32066817
PMCPMC7026418
OpenAlexW3006045662

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.