Evidence map›Paper›PMID 28751718›Full record

ArticleNature communications2017

Two mouse models reveal an actionable PARP1 dependence in aggressive chronic lymphocytic leukemia.

Gero Knittel, Tim Rehkämper, Darya Korovkina, Paul Liedgens, Christian Fritz, Alessandro Torgovnick, Yussor Al-Baldawi, Mona Al-Maarri, Yupeng Cun, Oleg Fedorchenko and 17 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. 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
2.4field-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, 55 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

27 authors at 5 institutions in 1 country.

Gero KnittelClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany. gero.knittel@uk-koeln.de.
Tim RehkämperClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Darya KorovkinaClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Paul LiedgensClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Christian FritzClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Alessandro TorgovnickClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Yussor Al-BaldawiDepartment of Radiology, Medical Faculty, University Hospital of Cologne, Cologne, 50931, Germany.
Mona Al-MaarriMax-Planck-Institute for Metabolism Research, Cologne, 50931, Germany.
Yupeng CunDepartment of Translational Genomics, University of Cologne, Cologne, 50931, Germany.
Oleg FedorchenkoClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Arina RiabinskaClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Filippo BeleggiaClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Phuong-Hien NguyenClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
F Thomas WunderlichMax-Planck-Institute for Metabolism Research, Cologne, 50931, Germany.
Monika OrtmannInstitute of Pathology, University Hospital of Cologne, Cologne, 50931, Germany.
Manuel Montesinos-RongenInstitute of Neuropathology, University Hospital of Cologne, Cologne, 50931, Germany.
Eugen TauschDepartment of Internal Medicine III, Ulm University, Ulm, 89070, Germany.
Stephan StilgenbauerDepartment of Internal Medicine III, Ulm University, Ulm, 89070, Germany.
Lukas P FrenzelClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Marco HerlingClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Carmen HerlingClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Jasmin BahloClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Michael HallekClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany.
Martin PeiferDepartment of Translational Genomics, University of Cologne, Cologne, 50931, Germany.
Reinhard BuettnerCenter of Integrated Oncology (CIO), University Hospital of Cologne, Cologne, 50931, Germany.
Thorsten PersigehlDepartment of Radiology, Medical Faculty, University Hospital of Cologne, Cologne, 50931, Germany.
H Christian ReinhardtClinic I of Internal Medicine, University Hospital of Cologne, Cologne, 50931, Germany. christian.reinhardt@uk-koeln.de.
University Hospital Cologne · DEUniversity of Cologne · DECologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases · DEMax Planck Institute for Metabolism Research · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) remains an incurable disease. Two recurrent cytogenetic aberrations, namely del(17p), affecting TP53, and del(11q), affecting ATM, are associated with resistance against genotoxic chemotherapy (del17p) and poor outcome (del11q and del17p). Both del(17p) and del(11q) are also associated with inferior outcome to the novel targeted agents, such as the BTK inhibitor ibrutinib. Thus, even in the era of targeted therapies, CLL with alterations in the ATM/p53 pathway remains a clinical challenge. Here we generated two mouse models of Atm- and Trp53-deficient CLL. These animals display a significantly earlier disease onset and reduced overall survival, compared to controls. We employed these models in conjunction with transcriptome analyses following cyclophosphamide treatment to reveal that Atm deficiency is associated with an exquisite and genotype-specific sensitivity against PARP inhibition. Thus, we generate two aggressive CLL models and provide a preclinical rational for the use of PARP inhibitors in ATM-affected human CLL.ATM and TP53 mutations are associated with poor prognosis in chronic lymphocytic leukaemia (CLL). Here the authors generate mouse models of Tp53- and Atm-defective CLL mimicking the high-risk form of human disease and show that Atm-deficient CLL is sensitive to PARP1 inhibition.

Indexed as

Disease Models, AnimalAnimalsAtaxia Telangiectasia Mutated ProteinsChromosome DeletionChromosomes, Human, Pair 11Chromosomes, Human, Pair 17CyclophosphamideGene Expression ProfilingHumansImmunoblottingLeukemia, Lymphocytic, Chronic, B-CellMice, Inbred C57BLMice, KnockoutPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsSurvival AnalysisAtaxia Telangiectasia Mutated ProteinsCyclophosphamidePoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsTumor Suppressor Protein p53

Identifiers

PMID28751718
PMCPMC5532225
OpenAlexW2736702134

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.