Evidence map›Paper›PMID 39424923›Full record

ArticleNature genetics2024

Base editing screens define the genetic landscape of cancer drug resistance mechanisms.

Matthew A Coelho, Magdalena E Strauss, Alex Watterson, Sarah Cooper, Shriram Bhosle, Giuditta Illuzzi, Emre Karakoc, Cansu Dinçer, Sara F Vieira, Mamta Sharma and 13 more

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Collapsing retroviruses for efficient delivery of viro-toxic cargoes.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Scaling perturbations: beyond genome-scale CRISPR screens.bioRxiv : the preprint server for biology · 2026
    Article
  20. Review
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

23 authors.

Matthew A CoelhoTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK. matthew.coelho@sanger.ac.uk.ORCID http://orcid.org/0000-0003-3737-2468
Magdalena E StraussEMBL-European Bioinformatics Institute, Cambridge, UK.ORCID http://orcid.org/0000-0002-6089-8049
Alex WattersonTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.
Sarah CooperGene Editing and Cellular Research and Development, Wellcome Sanger Institute, Hinxton, UK.
Shriram BhosleTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0002-7638-2899
Giuditta IlluzziBioscience, Oncology R&D, AstraZeneca, Cambridge, UK.
Emre KarakocTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.
Cansu DinçerTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.
Sara F VieiraTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0002-1021-3021
Mamta SharmaTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.
Marie MoulletTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.
Daniela ConticelliDepartment of Oncology, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0003-4661-9776
Jonas KoeppelGenerative and Synthetic Genomics, Wellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0003-1306-3994
Katrina McCartenTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.
Chiara M CattaneoDepartment of Immunology and Molecular Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-8168-8649
Vivien VeningaDepartment of Immunology and Molecular Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Gabriele PiccoTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK.
Leopold PartsGenerative and Synthetic Genomics, Wellcome Sanger Institute, Hinxton, UK.
Josep V FormentBioscience, Oncology R&D, AstraZeneca, Cambridge, UK.
Emile E VoestDepartment of Immunology and Molecular Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-8249-9586
John C MarioniEMBL-European Bioinformatics Institute, Cambridge, UK.ORCID http://orcid.org/0000-0001-9092-0852
Andrew BassettGene Editing and Cellular Research and Development, Wellcome Sanger Institute, Hinxton, UK.ORCID http://orcid.org/0000-0003-1632-9137
Mathew J GarnettTranslational Cancer Genomics, Wellcome Sanger Institute, Hinxton, UK. mathew.garnett@sanger.ac.uk.ORCID http://orcid.org/0000-0002-2618-4237

Funding

Wellcome TrustWellcome Trust 206194Wellcome Trust (Wellcome) 220442/Z/20/Z
6 · The paper itself

Abstract

Drug resistance is a principal limitation to the long-term efficacy of cancer therapies. Cancer genome sequencing can retrospectively delineate the genetic basis of drug resistance, but this requires large numbers of post-treatment samples to nominate causal variants. Here we prospectively identify genetic mechanisms of resistance to ten oncology drugs from CRISPR base editing mutagenesis screens in four cancer cell lines using a guide RNA library predicted to install 32,476 variants in 11 cancer genes. We identify four functional classes of protein variants modulating drug sensitivity and use single-cell transcriptomics to reveal how these variants operate through distinct mechanisms, including eliciting a drug-addicted cell state. We identify variants that can be targeted with alternative inhibitors to overcome resistance and functionally validate an epidermal growth factor receptor (EGFR) variant that sensitizes lung cancer cells to EGFR inhibitors. Our variant-to-function map has implications for patient stratification, therapy combinations and drug scheduling in cancer treatment.

Indexed as

Drug Resistance, NeoplasmGene EditingAntineoplastic AgentsCell Line, TumorCRISPR-Cas SystemsErbB ReceptorsHumansNeoplasmsRNA, Guide, CRISPR-Cas SystemsSingle-Cell AnalysisAntineoplastic AgentsEGFR protein, humanErbB ReceptorsRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID39424923
PMCPMC11549056

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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.