Author:
Brammeld Jonathan S.,Petljak Mia,Martincorena Inigo,Williams Steven P.,Alonso Luz Garcia,Dalmases Alba,Bellosillo Beatriz,Robles-Espinoza Carla Daniela,Price Stacey,Barthorpe Syd,Tarpey Patrick,Alifrangis Constantine,Bignell Graham,Vidal Joana,Young Jamie,Stebbings Lucy,Beal Kathryn,Stratton Michael R.,Saez-Rodriguez Julio,Garnett Mathew,Montagut Clara,Iorio Francesco,McDermott Ultan
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.
Funder
Cancer Research UK
European Bioinformatics Institute
Wellcome Trust Sanger Institute
European Research Council
Publisher
Cold Spring Harbor Laboratory
Subject
Genetics (clinical),Genetics
Cited by
20 articles.
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