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A genetic interaction analysis identifies cancer drivers that modify EGFR dependency

A large number of cancer drivers have been identified through tumor sequencing efforts, but how they interact and the degree to which they can substitute for each other have not been systematically explored. To comprehensively investigate how cancer drivers genetically interact, we searched for modi...

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Autores principales: Liao, Sida, Davoli, Teresa, Leng, Yumei, Li, Mamie Z., Xu, Qikai, Elledge, Stephen J.
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/PMC5322732/
https://www.ncbi.nlm.nih.gov/pubmed/28167502
http://dx.doi.org/10.1101/gad.291948.116
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author Liao, Sida
Davoli, Teresa
Leng, Yumei
Li, Mamie Z.
Xu, Qikai
Elledge, Stephen J.
author_facet Liao, Sida
Davoli, Teresa
Leng, Yumei
Li, Mamie Z.
Xu, Qikai
Elledge, Stephen J.
author_sort Liao, Sida
collection PubMed
description A large number of cancer drivers have been identified through tumor sequencing efforts, but how they interact and the degree to which they can substitute for each other have not been systematically explored. To comprehensively investigate how cancer drivers genetically interact, we searched for modifiers of epidermal growth factor receptor (EGFR) dependency by performing CRISPR, shRNA, and expression screens in a non-small cell lung cancer (NSCLC) model. We elucidated a broad spectrum of tumor suppressor genes (TSGs) and oncogenes (OGs) that can genetically modify proliferation and survival of cancer cells when EGFR signaling is altered. These include genes already known to mediate EGFR inhibitor resistance as well as many TSGs not previously connected to EGFR and whose biological functions in tumorigenesis are not well understood. We show that mutation of PBRM1, a subunit of the SWI/SNF complex, attenuates the effects of EGFR inhibition in part by sustaining AKT signaling. We also show that mutation of Capicua (CIC), a transcriptional repressor, suppresses the effects of EGFR inhibition by partially restoring the EGFR-promoted gene expression program, including the sustained expression of Ets transcription factors such as ETV1. Together, our data provide strong support for the hypothesis that many cancer drivers can substitute for each other in certain contexts and broaden our understanding of EGFR regulation.
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spelling pubmed-53227322017-07-15 A genetic interaction analysis identifies cancer drivers that modify EGFR dependency Liao, Sida Davoli, Teresa Leng, Yumei Li, Mamie Z. Xu, Qikai Elledge, Stephen J. Genes Dev Research Paper A large number of cancer drivers have been identified through tumor sequencing efforts, but how they interact and the degree to which they can substitute for each other have not been systematically explored. To comprehensively investigate how cancer drivers genetically interact, we searched for modifiers of epidermal growth factor receptor (EGFR) dependency by performing CRISPR, shRNA, and expression screens in a non-small cell lung cancer (NSCLC) model. We elucidated a broad spectrum of tumor suppressor genes (TSGs) and oncogenes (OGs) that can genetically modify proliferation and survival of cancer cells when EGFR signaling is altered. These include genes already known to mediate EGFR inhibitor resistance as well as many TSGs not previously connected to EGFR and whose biological functions in tumorigenesis are not well understood. We show that mutation of PBRM1, a subunit of the SWI/SNF complex, attenuates the effects of EGFR inhibition in part by sustaining AKT signaling. We also show that mutation of Capicua (CIC), a transcriptional repressor, suppresses the effects of EGFR inhibition by partially restoring the EGFR-promoted gene expression program, including the sustained expression of Ets transcription factors such as ETV1. Together, our data provide strong support for the hypothesis that many cancer drivers can substitute for each other in certain contexts and broaden our understanding of EGFR regulation. Cold Spring Harbor Laboratory Press 2017-01-15 /pmc/articles/PMC5322732/ /pubmed/28167502 http://dx.doi.org/10.1101/gad.291948.116 Text en © 2017 Liao et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genesdev.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research Paper
Liao, Sida
Davoli, Teresa
Leng, Yumei
Li, Mamie Z.
Xu, Qikai
Elledge, Stephen J.
A genetic interaction analysis identifies cancer drivers that modify EGFR dependency
title A genetic interaction analysis identifies cancer drivers that modify EGFR dependency
title_full A genetic interaction analysis identifies cancer drivers that modify EGFR dependency
title_fullStr A genetic interaction analysis identifies cancer drivers that modify EGFR dependency
title_full_unstemmed A genetic interaction analysis identifies cancer drivers that modify EGFR dependency
title_short A genetic interaction analysis identifies cancer drivers that modify EGFR dependency
title_sort genetic interaction analysis identifies cancer drivers that modify egfr dependency
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322732/
https://www.ncbi.nlm.nih.gov/pubmed/28167502
http://dx.doi.org/10.1101/gad.291948.116
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