Your browser doesn't support javascript.
loading
Systematic characterization of mutations altering protein degradation in human cancers.
Tokheim, Collin; Wang, Xiaoqing; Timms, Richard T; Zhang, Boning; Mena, Elijah L; Wang, Binbin; Chen, Cynthia; Ge, Jun; Chu, Jun; Zhang, Wubing; Elledge, Stephen J; Brown, Myles; Liu, X Shirley.
Afiliação
  • Tokheim C; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Wang X; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Timms RT; Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
  • Zhang B; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Mena EL; Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
  • Wang B; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Chen C; The Harker School, San Jose, CA 95129, USA.
  • Ge J; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Chu J; Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui 230038, China.
  • Zhang W; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
  • Elledge SJ; Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. Electronic address: selledge@genetics.med.harvard.edu.
  • Brown M; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Electronic address: myles_brown@dfci.harvard.edu.
  • Liu XS; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. Electronic address: xsliu@ds.dfci.harvard.edu.
Mol Cell ; 81(6): 1292-1308.e11, 2021 03 18.
Article em En | MEDLINE | ID: mdl-33567269
ABSTRACT
The ubiquitin-proteasome system (UPS) is the primary route for selective protein degradation in human cells. The UPS is an attractive target for novel cancer therapies, but the precise UPS genes and substrates important for cancer growth are incompletely understood. Leveraging multi-omics data across more than 9,000 human tumors and 33 cancer types, we found that over 19% of all cancer driver genes affect UPS function. We implicate transcription factors as important substrates and show that c-Myc stability is modulated by CUL3. Moreover, we developed a deep learning model (deepDegron) to identify mutations that result in degron loss and experimentally validated the prediction that gain-of-function truncating mutations in GATA3 and PPM1D result in increased protein stability. Last, we identified UPS driver genes associated with prognosis and the tumor microenvironment. This study demonstrates the important role of UPS dysregulation in human cancer and underscores the potential therapeutic utility of targeting the UPS.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteólise / Aprendizado Profundo / Modelos Genéticos / Mutação / Proteínas de Neoplasias / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Mol Cell Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteólise / Aprendizado Profundo / Modelos Genéticos / Mutação / Proteínas de Neoplasias / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Mol Cell Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos