scispace - formally typeset
Open AccessJournal ArticleDOI

A Genome-Scale RNA Interference Screen Implicates NF1 Loss in Resistance to RAF Inhibition

TLDR
NF1 mutations were observed in BRAF-mutant tumor cells that are intrinsically resistant to RAF inhibition and in melanoma tumors obtained from patients exhibiting resistance to vemurafenib, thus showing the clinical potential for NF1-driven resistance to RAF/MEK-targeted therapies.
Abstract
RAF inhibitors such as vemurafenib and dabrafenib block B-RAF-mediated cell proliferation and achieve meaningful clinical benefit in the vast majority of patients with B-RAFV600E-mutant melanoma. However, some patients do not respond to this regimen, and nearly all progress to therapeutic resistance. We employed a pooled RNA interference screen targeting >16,500 genes to discover loss of function events that could drive resistance to RAF inhibition. The highest-ranking gene was NF1, which encodes neurofibromin, a tumor suppressor that inhibits RAS activity. NF1 loss mediates resistance to RAF and MEK inhibitors through sustained MAPK pathway activation. However, cells lacking NF1 retained sensitivity to the irreversible RAF inhibitor AZ628 and an ERK inhibitor. NF1 mutations were observed in B-RAF-mutant tumor cells that are intrinsically resistant to RAF inhibition and in melanoma tumors obtained from patients exhibiting resistance to vemurafenib, thus demonstrating the clinical potential for NF1-driven resistance to RAF/MEK-targeted therapies.

read more

Citations
More filters
Journal ArticleDOI

Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells

TL;DR: This work shows that lentiviral delivery of a genome-scale CRISPR-Cas9 knockout (GeCKO) library targeting 18,080 genes with 64,751 unique guide sequences enables both negative and positive selection screening in human cells, and observes a high level of consistency between independent guide RNAs targeting the same gene and a high rate of hit confirmation.
Journal ArticleDOI

Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9

TL;DR: Recently devised sgRNA design rules are used to create human and mouse genome-wide libraries, perform positive and negative selection screens and observe that the use of these rules produced improved results, and a metric to predict off-target sites is developed.
Journal ArticleDOI

Genomic Classification of Cutaneous Melanoma

Rehan Akbani, +351 more
- 18 Jun 2015 - 
TL;DR: This clinicopathological and multi-dimensional analysis suggests that the prognosis of melanoma patients with regional metastases is influenced by tumor stroma immunobiology, offering insights to further personalize therapeutic decision-making.

Integrative Genomics Viewer

TL;DR: The sheer volume and scope of data posed by this flood of data pose a significant challenge to the development of efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Journal ArticleDOI

MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens.

TL;DR: Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) demonstrates better performance compared with existing methods, identifies both positively and negatively selected genes simultaneously, and reports robust results across different experimental conditions.
References
More filters
Journal ArticleDOI

Integrative genomics viewer

TL;DR: In this article, the authors present an approach for efficient and intuitive visualization tools able to scale to very large data sets and to flexibly integrate multiple data types, including clinical data.
Journal ArticleDOI

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

TL;DR: The results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents and the generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of ‘personalized’ therapeutic regimens.
Related Papers (5)