Evidence map›Paper›PMID 28179366›Full record

ArticleGenome research2017

Genome-wide chemical mutagenesis screens allow unbiased saturation of the cancer genome and identification of drug resistance mutations.

Jonathan S Brammeld, Mia Petljak, Inigo Martincorena, Steven P Williams, Luz Garcia Alonso, Alba Dalmases, Beatriz Bellosillo, Carla Daniela Robles-Espinoza, Stacey Price, Syd Barthorpe and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 23 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

23 authors at 4 institutions in 5 countries.

Jonathan S BrammeldWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Mia PetljakWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Inigo MartincorenaWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Steven P WilliamsWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Luz Garcia AlonsoEuropean Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge CB10 1SA, United Kingdom.
Alba DalmasesPathology Department, Hospital del Mar, 08003 Barcelona, Spain.
Beatriz BellosilloPathology Department, Hospital del Mar, 08003 Barcelona, Spain.
Carla Daniela Robles-EspinozaLaboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Santiago de Querétaro 76230, Mexico.
Stacey PriceWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Syd BarthorpeWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Patrick TarpeyWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Constantine AlifrangisWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Graham BignellWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Joana VidalCancer Research Program, FIMIM and Medical Oncology Department, Hospital del Mar, 08003 Barcelona, Spain.
Jamie YoungWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Lucy StebbingsWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Kathryn BealWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Michael R StrattonWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Julio Saez-RodriguezEuropean Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge CB10 1SA, United Kingdom.
Mathew GarnettWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Clara MontagutCancer Research Program, FIMIM and Medical Oncology Department, Hospital del Mar, 08003 Barcelona, Spain.
Francesco IorioEuropean Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge CB10 1SA, United Kingdom.
Ultan McDermottWellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.
Wellcome Sanger Institute · GBHospital Del Mar · ESEuropean Bioinformatics Institute · GBAutonomous University of Queretaro · MX

Funding

Cancer Research UK 16629Cancer Research UK 21777Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

Drug resistance is an almost inevitable consequence of cancer therapy and ultimately proves fatal for the majority of patients. In many cases, this is the consequence of specific gene mutations that have the potential to be targeted to resensitize the tumor. The ability to uniformly saturate the genome with point mutations without chromosome or nucleotide sequence context bias would open the door to identify all putative drug resistance mutations in cancer models. Here, we describe such a method for elucidating drug resistance mechanisms using genome-wide chemical mutagenesis allied to next-generation sequencing. We show that chemically mutagenizing the genome of cancer cells dramatically increases the number of drug-resistant clones and allows the detection of both known and novel drug resistance mutations. We used an efficient computational process that allows for the rapid identification of involved pathways and druggable targets. Such a priori knowledge would greatly empower serial monitoring strategies for drug resistance in the clinic as well as the development of trials for drug-resistant patients.

Indexed as

Genome, HumanMutation AccumulationMutation RateCell Line, TumorDrug Resistance, NeoplasmHumansModels, GeneticPoint Mutation

Identifiers

PMID28179366
PMCPMC5378179
OpenAlexW2952074749

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.