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Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
Zhang, Hui; Liu, Tao; Zhang, Zhen; Payne, Samuel H; Zhang, Bai; McDermott, Jason E; Zhou, Jian-Ying; Petyuk, Vladislav A; Chen, Li; Ray, Debjit; Sun, Shisheng; Yang, Feng; Chen, Lijun; Wang, Jing; Shah, Punit; Cha, Seong Won; Aiyetan, Paul; Woo, Sunghee; Tian, Yuan; Gritsenko, Marina A; Clauss, Therese R; Choi, Caitlin; Monroe, Matthew E; Thomas, Stefani; Nie, Song; Wu, Chaochao; Moore, Ronald J; Yu, Kun-Hsing; Tabb, David L; Fenyö, David; Bafna, Vineet; Wang, Yue; Rodriguez, Henry; Boja, Emily S; Hiltke, Tara; Rivers, Robert C; Sokoll, Lori; Zhu, Heng; Shih, Ie-Ming; Cope, Leslie; Pandey, Akhilesh; Zhang, Bing; Snyder, Michael P; Levine, Douglas A; Smith, Richard D; Chan, Daniel W; Rodland, Karin D.
Afiliação
  • Zhang H; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Liu T; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Zhang Z; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Payne SH; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Zhang B; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • McDermott JE; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Zhou JY; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Petyuk VA; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Chen L; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Ray D; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Sun S; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Yang F; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Chen L; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Wang J; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
  • Shah P; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Cha SW; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Aiyetan P; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Woo S; Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Tian Y; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Gritsenko MA; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Clauss TR; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Choi C; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Monroe ME; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Thomas S; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Nie S; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Wu C; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Moore RJ; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Yu KH; Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Tabb DL; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
  • Fenyö D; Center for Health Informatics and Bioinformatics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA.
  • Bafna V; Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Wang Y; Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
  • Rodriguez H; Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA.
  • Boja ES; Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA.
  • Hiltke T; Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA.
  • Rivers RC; Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA.
  • Sokoll L; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Zhu H; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Shih IM; Department of Gynecology and Obstetrics, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Cope L; Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA.
  • Pandey A; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
  • Zhang B; Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
  • Snyder MP; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Levine DA; Department of Gynecologic Oncology, Laura and Isaac Perlmutter Cancer Centre, NYU Langone Medical Center, New York, NY 10016, USA.
  • Smith RD; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
  • Chan DW; Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21231, USA. Electronic address: dchan@jhmi.edu.
  • Rodland KD; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA. Electronic address: karin.rodland@pnnl.gov.
Cell ; 166(3): 755-765, 2016 Jul 28.
Article em En | MEDLINE | ID: mdl-27372738
To provide a detailed analysis of the molecular components and underlying mechanisms associated with ovarian cancer, we performed a comprehensive mass-spectrometry-based proteomic characterization of 174 ovarian tumors previously analyzed by The Cancer Genome Atlas (TCGA), of which 169 were high-grade serous carcinomas (HGSCs). Integrating our proteomic measurements with the genomic data yielded a number of insights into disease, such as how different copy-number alternations influence the proteome, the proteins associated with chromosomal instability, the sets of signaling pathways that diverse genome rearrangements converge on, and the ones most associated with short overall survival. Specific protein acetylations associated with homologous recombination deficiency suggest a potential means for stratifying patients for therapy. In addition to providing a valuable resource, these findings provide a view of how the somatic genome drives the cancer proteome and associations between protein and post-translational modification levels and clinical outcomes in HGSC. VIDEO ABSTRACT.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Neoplasias Císticas, Mucinosas e Serosas / Proteoma / Proteínas de Neoplasias Limite: Female / Humans Idioma: En Revista: Cell Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Neoplasias Císticas, Mucinosas e Serosas / Proteoma / Proteínas de Neoplasias Limite: Female / Humans Idioma: En Revista: Cell Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos