Cargando…

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

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 gen...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378179/
https://www.ncbi.nlm.nih.gov/pubmed/28179366
http://dx.doi.org/10.1101/gr.213546.116
Descripción
Sumario: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.