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全基因组化学诱变筛选可实现癌症基因组的无偏倚饱和突变,并鉴定出耐药性突变。

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

作者信息

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

机构信息

Wellcome Trust Sanger Institute, Hinxton CB10 1SA, United Kingdom.

European Molecular Biology Laboratory - European Bioinformatics Institute, Cambridge CB10 1SA, United Kingdom.

出版信息

Genome Res. 2017 Apr;27(4):613-625. doi: 10.1101/gr.213546.116. Epub 2017 Feb 8.

DOI:10.1101/gr.213546.116
PMID:28179366
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5378179/
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.

摘要

耐药性是癌症治疗几乎不可避免的后果,最终对大多数患者来说是致命的。在许多情况下,这是特定基因突变的结果,这些基因突变有可能成为使肿瘤重新敏感化的靶点。在没有染色体或核苷酸序列背景偏差的情况下,用点突变均匀饱和基因组的能力将为识别癌症模型中所有假定的耐药突变打开大门。在这里,我们描述了一种利用全基因组化学诱变结合下一代测序来阐明耐药机制的方法。我们表明,对癌细胞基因组进行化学诱变会显著增加耐药克隆的数量,并能检测到已知和新的耐药突变。我们使用了一种高效的计算方法,能够快速识别涉及的通路和可成药靶点。这样的先验知识将极大地增强临床中耐药性的连续监测策略以及耐药患者试验的开展。

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