Evidence map›Paper›PMID 35405736›Full record

ArticleMolecular cancer therapeutics2022

A New Class of Selective ATM Inhibitors as Combination Partners of DNA Double-Strand Break Inducing Cancer Therapies.

Astrid Zimmermann, Frank T Zenke, Li-Ya Chiu, Heike Dahmen, Ulrich Pehl, Thomas Fuchss, Thomas Grombacher, Beatrix Blume, Lyubomir T Vassilev, Andree Blaukat

Open access · hybridAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  10. A First-in-Human Study of ATM Inhibitor Lartesertib as Monotherapy in Patients with Advanced Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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  19. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 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

10 authors at 2 institutions in 2 countries.

Astrid ZimmermannTranslational Innovation Platform Oncology and Immuno-Oncology, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0001-6146-9812
Frank T ZenkeTranslational Innovation Platform Oncology and Immuno-Oncology, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0002-2226-3755
Li-Ya ChiuTranslational Innovation Platform Oncology and Immuno-Oncology, EMD Serono, Billerica, Massachusetts.ORCID 0000-0001-9645-7643
Heike DahmenTranslational Innovation Platform Oncology and Immuno-Oncology, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0003-4430-9889
Ulrich PehlDiscovery and Development Technologies, Cellular Pharmacology, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0003-2559-723X
Thomas FuchssDiscovery and Development Technologies, Global Medicinal Chemistry, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0002-1203-7180
Thomas GrombacherTranslational Medicine, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0001-9855-7429
Beatrix BlumeDiscovery and Development Technologies, Cellular Pharmacology, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0003-0393-8873
Lyubomir T VassilevTranslational Innovation Platform Oncology and Immuno-Oncology, EMD Serono, Billerica, Massachusetts.ORCID 0000-0002-5557-0671
Andree BlaukatTranslational Innovation Platform Oncology and Immuno-Oncology, The Healthcare Business of Merck KGaA, Darmstadt, Germany.ORCID 0000-0001-5443-9068
Merck (Germany) · DEMerck Serono (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy and chemical DNA-damaging agents are among the most widely used classes of cancer therapeutics today. Double-strand breaks (DSB) induced by many of these treatments are lethal to cancer cells if left unrepaired. Ataxia telangiectasia-mutated (ATM) kinase plays a key role in the DNA damage response by driving DSB repair and cell-cycle checkpoints to protect cancer cells. Inhibitors of ATM catalytic activity have been shown to suppress DSB DNA repair, block checkpoint controls and enhance the therapeutic effect of radiotherapy and other DSB-inducing modalities. Here, we describe the pharmacological activities of two highly potent and selective ATM inhibitors from a new chemical class, M3541 and M4076. In biochemical assays, they inhibited ATM kinase activity with a sub-nanomolar potency and showed remarkable selectivity against other protein kinases. In cancer cells, the ATM inhibitors suppressed DSB repair, clonogenic cancer cell growth, and potentiated antitumor activity of ionizing radiation in cancer cell lines. Oral administration of M3541 and M4076 to immunodeficient mice bearing human tumor xenografts with a clinically relevant radiotherapy regimen strongly enhanced the antitumor activity, leading to complete tumor regressions. The efficacy correlated with the inhibition of ATM activity and modulation of its downstream targets in the xenograft tissues. In vitro and in vivo experiments demonstrated strong combination potential with PARP and topoisomerase I inhibitors. M4076 is currently under clinical investigation.

Indexed as

Ataxia TelangiectasiaNeoplasmsAnimalsAtaxia Telangiectasia Mutated ProteinsCell Cycle ProteinsDNADNA Breaks, Double-StrandedDNA RepairHumansMiceProtein Kinase InhibitorsAtaxia Telangiectasia Mutated ProteinsATM protein, humanCell Cycle ProteinsDNAProtein Kinase Inhibitors

Identifiers

PMID35405736
PMCPMC9381122
OpenAlexW4223558978

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.