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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.
Afiliación
  • Liao S; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Department of Genetics, Program in Virology, Howard Hughes Medical Institute, Harvard University Medical School, Boston, Massachusetts 02115, USA.
  • Davoli T; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Department of Genetics, Program in Virology, Howard Hughes Medical Institute, Harvard University Medical School, Boston, Massachusetts 02115, USA.
  • Leng Y; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Department of Genetics, Program in Virology, Howard Hughes Medical Institute, Harvard University Medical School, Boston, Massachusetts 02115, USA.
  • Li MZ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Department of Genetics, Program in Virology, Howard Hughes Medical Institute, Harvard University Medical School, Boston, Massachusetts 02115, USA.
  • Xu Q; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Department of Genetics, Program in Virology, Howard Hughes Medical Institute, Harvard University Medical School, Boston, Massachusetts 02115, USA.
  • Elledge SJ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Department of Genetics, Program in Virology, Howard Hughes Medical Institute, Harvard University Medical School, Boston, Massachusetts 02115, USA.
Genes Dev ; 31(2): 184-196, 2017 01 15.
Article en En | MEDLINE | ID: mdl-28167502
ABSTRACT
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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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Adenocarcinoma / Regulación Neoplásica de la Expresión Génica / Receptores ErbB / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Idioma: En Revista: Genes Dev Asunto de la revista: BIOLOGIA MOLECULAR Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Adenocarcinoma / Regulación Neoplásica de la Expresión Génica / Receptores ErbB / Neoplasias Pulmonares Tipo de estudio: Prognostic_studies Idioma: En Revista: Genes Dev Asunto de la revista: BIOLOGIA MOLECULAR Año: 2017 Tipo del documento: Article