Evidence map›Paper›PMID 27613601›Full record

ArticleBMC genomics2016

Identification of oncogenic driver mutations by genome-wide CRISPR-Cas9 dropout screening.

Michael K Kiessling, Sven Schuierer, Silke Stertz, Martin Beibel, Sebastian Bergling, Judith Knehr, Walter Carbone, Cheryl de Vallière, Joelle Tchinda, Tewis Bouwmeester and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 43 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

13 authors at 4 institutions in 1 country.

Michael K KiesslingDepartment of Gastroenterology and Hepatology, University Hospital Zürich, Zürich, Switzerland.
Sven SchuiererNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Silke StertzInstitute of Medical Virology, University of Zürich, Zürich, Switzerland.
Martin BeibelNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Sebastian BerglingNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Judith KnehrNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Walter CarboneNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Cheryl de VallièreDepartment of Gastroenterology and Hepatology, University Hospital Zürich, Zürich, Switzerland.
Joelle TchindaDepartment of Oncology, Children University Hospital Zürich, Zürich, Switzerland.
Tewis BouwmeesterNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Klaus SeuwenNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland.
Gerhard RoglerDepartment of Gastroenterology and Hepatology, University Hospital Zürich, Zürich, Switzerland. Gerhard.rogler@usz.ch.
Guglielmo RomaNovartis Institutes for Biomedical Research, Novartis Pharma AG, Basel, Switzerland. Guglielmo.roma@novartis.com.
Novartis (Switzerland) · CHUniversity Hospital of Zurich · CHUniversity Children's Hospital Zurich · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide CRISPR-Cas9 dropout screens can identify genes whose knockout affects cell viability. Recent CRISPR screens detected thousands of essential genes required for cellular survival and key cellular processes; however discovering novel lineage-specific genetic dependencies from the many hits still remains a challenge.

resultsTo assess whether CRISPR-Cas9 dropout screens can help identify cancer dependencies, we screened two human cancer cell lines carrying known and distinct oncogenic mutations using a genome-wide sgRNA library. We found that the gRNA targeting the driver mutation EGFR was one of the highest-ranking candidates in the EGFR-mutant HCC-827 lung adenocarcinoma cell line. Likewise, sgRNAs for NRAS and MAP2K1 (MEK1), a downstream kinase of mutant NRAS, were identified among the top hits in the NRAS-mutant neuroblastoma cell line CHP-212. Depletion of these genes targeted by the sgRNAs strongly correlated with the sensitivity to specific kinase inhibitors of the EGFR or RAS pathway in cell viability assays. In addition, we describe other dependencies such as TBK1 in HCC-827 cells and TRIB2 in CHP-212 cells which merit further investigation.

conclusionsWe show that genome-wide CRISPR dropout screens are suitable for the identification of oncogenic drivers and other essential genes.

Indexed as

CRISPR-Cas SystemsGenome-Wide Association StudyMutationOncogenesCalcium-Calmodulin-Dependent Protein KinasesCell Line, TumorCell SurvivalCell Transformation, NeoplasticDrug Screening Assays, AntitumorGene Knockout TechniquesHumansIntracellular Signaling Peptides and ProteinsPhenotypeProtein Kinase InhibitorsProtein Serine-Threonine KinasesRNA, Guide, CRISPR-Cas SystemsCalcium-Calmodulin-Dependent Protein KinasesIntracellular Signaling Peptides and ProteinsProtein Kinase InhibitorsProtein Serine-Threonine KinasesRNA, Guide, CRISPR-Cas SystemsTBK1 protein, humanTRIB2 protein, humanDriver mutationsDropoutEGFRKinaseNegative selectionNRASWhole genome CRISPR screen

Identifiers

PMID27613601
PMCPMC5016932
OpenAlexW2515443524

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.