Evidence map›Paper›PMID 30971826›Full record

ArticleNature2019

Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.

Fiona M Behan, Francesco Iorio, Gabriele Picco, Emanuel Gonçalves, Charlotte M Beaver, Giorgia Migliardi, Rita Santos, Yanhua Rao, Francesco Sassi, Marika Pinnelli and 15 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 810 papers.

0numbers the graph read from it
0cells of the map it votes in
810citing 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

810 citing papers in PubMed.

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750 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Fiona M Behan *Wellcome Sanger Institute, Cambridge, UK.
Francesco Iorio *Wellcome Sanger Institute, Cambridge, UK.
Gabriele Picco *Wellcome Sanger Institute, Cambridge, UK.
Emanuel GonçalvesWellcome Sanger Institute, Cambridge, UK.
Charlotte M BeaverWellcome Sanger Institute, Cambridge, UK.
Giorgia MigliardiCandiolo Cancer Institute-FPO, IRCCS, Turin, Italy.
Rita SantosGlaxoSmithKline Research and Development, Stevenage, UK.
Yanhua RaoGlaxoSmithKline Research and Development, Collegeville, PA, USA.
Francesco SassiCandiolo Cancer Institute-FPO, IRCCS, Turin, Italy.
Marika PinnelliCandiolo Cancer Institute-FPO, IRCCS, Turin, Italy.
Rizwan AnsariWellcome Sanger Institute, Cambridge, UK.
Sarah HarperWellcome Sanger Institute, Cambridge, UK.
David Adam JacksonWellcome Sanger Institute, Cambridge, UK.
Rebecca McRaeWellcome Sanger Institute, Cambridge, UK.
Rachel PooleyWellcome Sanger Institute, Cambridge, UK.
Piers WilkinsonWellcome Sanger Institute, Cambridge, UK.
Dieudonne van der MeerWellcome Sanger Institute, Cambridge, UK.
David DowOpen Targets, Cambridge, UK.
Carolyn Buser-DoepnerOpen Targets, Cambridge, UK.
Andrea BertottiCandiolo Cancer Institute-FPO, IRCCS, Turin, Italy.
Livio TrusolinoCandiolo Cancer Institute-FPO, IRCCS, Turin, Italy.
Euan A StronachOpen Targets, Cambridge, UK.
Julio Saez-RodriguezOpen Targets, Cambridge, UK.
Kosuke Yusa *Wellcome Sanger Institute, Cambridge, UK. k.yusa@infront.kyoto-u.ac.jp.
Mathew J Garnett *Wellcome Sanger Institute, Cambridge, UK. mathew.garnett@sanger.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional genomics approaches can overcome limitations-such as the lack of identification of robust targets and poor clinical efficacy-that hamper cancer drug development. Here we performed genome-scale CRISPR-Cas9 screens in 324 human cancer cell lines from 30 cancer types and developed a data-driven framework to prioritize candidates for cancer therapeutics. We integrated cell fitness effects with genomic biomarkers and target tractability for drug development to systematically prioritize new targets in defined tissues and genotypes. We verified one of our most promising dependencies, the Werner syndrome ATP-dependent helicase, as a synthetic lethal target in tumours from multiple cancer types with microsatellite instability. Our analysis provides a resource of cancer dependencies, generates a framework to prioritize cancer drug targets and suggests specific new targets. The principles described in this study can inform the initial stages of drug development by contributing to a new, diverse and more effective portfolio of cancer drug targets.

Indexed as

Gene EditingAnimalsBiomarkers, TumorCell Line, TumorCRISPR-Cas SystemsDrug DiscoveryFemaleGenome, HumanHumansMiceMicrosatellite InstabilityMolecular Targeted TherapyNeoplasmsNeoplasm TransplantationOrgan SpecificityReproducibility of ResultsBiomarkers, TumorWerner Syndrome Helicase

Identifiers

What OpenQuestion holds

Textmetadata
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.