DSpace@MIT (Massachusetts Institute of Technology) · 2021 · 43 citations · 39 references
Open access
MedicineGeneticsOncologyMolecular OncologyNeoplasiaOncogenesCrispr-cas SystemsGene Fusions In CancerMyc Family OncogenesOncogene MutationsOncogenic Fusion GenesOncogenic ProliferationCrispr-cas9 Genome EditingCrispr-cas9 KnockoutDriver Fusion GenesFusion Driver MutationsGene Fusion OncogenesisGenomic RearrangementsOncogenic Driver MutationsOncogenic Transformation
<jats:title>Abstract</jats:title> \n <jats:sec> \n <jats:title /> \n <jats:p>Small cell lung cancer (SCLC) has limited therapeutic options and an exceptionally poor prognosis. Understanding the oncogenic drivers of SCLC may help define novel therapeutic targets. Recurrent genomic rearrangements have been identified in SCLC, most notably an in-frame gene fusion between RLF and MYCL found in up to 7% of the predominant ASCL1-expressing subtype. To explore the role of this fusion in oncogenesis and tumor progression, we used CRISPR/Cas9 somatic editing to generate a Rlf–Mycl-driven mouse model of SCLC. RLF–MYCL fusion accelerated transformation and proliferation of murine SCLC and increased metastatic dissemination and the diversity of metastatic sites. Tumors from the RLF–MYCL genetically engineered mouse model displayed gene expression similarities with human RLF–MYCL SCLC. Together, our studies support RLF–MYCL as the first demonstrated fusion oncogenic driver in SCLC and provide a new preclinical mouse model for the study of this subtype of SCLC.</jats:p> \n </jats:sec> \n <jats:sec> \n <jats:title>Significance:</jats:title> \n <jats:p>The biological and therapeutic implications of gene fusions in SCLC, an aggressive metastatic lung cancer, are unknown. Our study investigates the functional significance of the in-frame RLF–MYCL gene fusion by developing a Rlf–Mycl-driven genetically engineered mouse model and defining the impact on tumor growth and metastasis.</jats:p> \n <jats:p>This article is highlighted in the In This Issue feature, p. 2945</jats:p> \n </jats:sec>
39
STAR: ultrafast universal RNA-seq aligner
Alexander Dobin, Carrie Davis, Felix Schlesinger et al. · Bioinformatics · 2012 · 56.2K citations · Full text
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Guangchuang Yu, Li-Gen Wang, Yanyan Han et al. · OMICS A Journal of Integrative Biology · 2012 · 38.3K citations
Multiplex Genome Engineering Using CRISPR/Cas Systems
Le Cong, F. Ann Ran, David Cox et al. · Science · 2013 · 15.7K citations
Near-optimal probabilistic RNA-seq quantification
Nicolas Bray, Harold Pimentel, Páll Melsted et al. · Nature Biotechnology · 2016 · 11K citations · Full text
Molecular signatures database (MSigDB) 3.0
Arthur Liberzon, Aravind Subramanian, Reid M. Pinchback et al. · Bioinformatics · 2011 · 7.7K citations · Full text