Evidence map›Paper›PMID 41372233›Full record

ArticleNature communications2025

Repurposing clinically safe drugs for DNA repair pathway choice in CRISPR genome editing and synthetic lethality.

Dominik Macak, Philipp Kanis, Stephan Riesenberg

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. In Vivo T-Cell Engineering: Revolution in Delivery Strategies and Clinical Translation.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  5. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
  6. Article
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

3 authors.

Dominik Macak *Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID http://orcid.org/0009-0001-7266-8515
Philipp Kanis *Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID http://orcid.org/0000-0003-4705-4447
Stephan RiesenbergMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany. stephan_riesenberg@eva.mpg.de.ORCID http://orcid.org/0000-0001-8171-1717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluate the effect of most FDA-approved drugs (>7,000 conditions) on double-strand DNA break repair pathways by analyzing mutational outcomes in human induced pluripotent stem cells. We identify drugs that can be repurposed as inhibitors and enhancers of repair outcomes attributed to non-homologous and microhomology-mediated end joining (NHEJ, MMEJ), and homology-directed repair (HDR). We also identify functions of the proteins estrogen receptor 2 (ESR2) and aldehyde oxidase 1 (AOX1), affecting several key DNA repair proteins, such as ATM and 53BP1. Silencing of ESR2 can have a synergistic effect on increasing HDR when combined with NHEJ inhibition (mean 4.6-fold increase). We further identify drugs that induce synthetic lethality when NHEJ or HDR is blocked and may therefore be candidates for precision medicine. We anticipate that the ability to modulate the DNA repair outcomes with clinically safe drugs will help disease modeling, gene therapy, chimeric antigen receptor immunotherapy, and cancer treatment.

Indexed as

CRISPR-Cas SystemsDNA RepairDrug RepositioningGene EditingSynthetic Lethal MutationsDNA Breaks, Double-StrandedDNA End-Joining RepairHumansInduced Pluripotent Stem CellsRecombinational DNA RepairTumor Suppressor p53-Binding Protein 1TP53BP1 protein, humanTumor Suppressor p53-Binding Protein 1

Identifiers

PMID41372233
PMCPMC12698765

What OpenQuestion holds

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LicenceCC BY
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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.