Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer | Zendy

Hui Zhang | Zendy; Tao Liu | Zendy; Zhen Zhang | Zendy; Samuel Payne | Zendy; Bai Zhang | Zendy; Jason McDermott | Zendy; Jianying Zhou | Zendy; Vladislav Petyuk | Zendy; Li Chen | Zendy; Debjit Ray | Zendy; Shisheng Sun | Zendy; Feng Yang | Zendy; Lijun Chen | Zendy; Jing Wang | Zendy; Punit Shah | Zendy; Seong Won | Zendy; Paul Aiyetan | Zendy; Sunghee Woo | Zendy; Yuan Tian | Zendy; Marina Gritsenko | Zendy; Therese RW Clauss | Zendy; Caitlin H. Choi | Zendy; Matthew Monroe | Zendy; Stefani N. Thomas | Zendy; Song Nie | Zendy; Chaochao Wu | Zendy; Ronald J. Moore | Zendy; KunHsing Yu | Zendy; David L. Tabb | Zendy; David Fenyö | Zendy; Vineet Bafna | Zendy; Yue Wang | Zendy; Henry Rodriguez | Zendy; Emily S. Boja | Zendy; Tara Hiltke | Zendy; Robert Rivers | Zendy; Lori J. Sokoll | Zendy; Heng Zhu | Zendy; IeMing Shih | Zendy; Leslie Cope | Zendy; Akhilesh Pandey | Zendy; Bing Zhang | Zendy; M Snyder | Zendy; Douglas A. Levine | Zendy; Richard Smith | Zendy; Daniel W. Chan | Zendy; Karin Rodland | Zendy; Steven A. Carr | Zendy; Michael A. Gillette | Zendy; Karl R. Klauser | Zendy; Eric Kuhn | Zendy; D.R. Mani | Zendy; Philipp Mertins | Zendy; Karen A. Ketchum | Zendy; Ratna R. Thangudu | Zendy; Shuang Cai | Zendy; Mauricio Oberti | Zendy; Amanda G. Paulovich | Zendy; Jeffrey R. Whiteaker | Zendy; Nathan Edwards | Zendy; Peter B. McGarvey | Zendy; Subha Madhavan | Zendy; Pei Wang | Zendy; Gordon A. Whiteley | Zendy; Steven J. Skates | Zendy; Forest M. White | Zendy; Christopher R. Kinsinger | Zendy; Mehdi Mesri | Zendy; Kenna M. Shaw | Zendy; Stephen E. Stein | Zendy; Paul A. Rudnick | Zendy; Yingming Zhao | Zendy; Xian Chen | Zendy; David F. Ransohoff | Zendy; Andrew N. Hoofnagle | Zendy; D.C. Liebler | Zendy; Melinda E. Sanders | Zendy; Zhiao Shi | Zendy; Robbert J.C. Slebos | Zendy; Lisa J. Zimmerman | Zendy; Sherri R. Davies | Zendy; Li Ding | Zendy; Matthew J. Ellis | Zendy; R. Reid Townsend | Zendy

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Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer

Author(s) -

Hui Zhang,

Tao Liu,

Zhen Zhang,

Samuel Payne,

Bai Zhang,

Jason McDermott,

Jianying Zhou,

Vladislav Petyuk,

Li Chen,

Debjit Ray,

Shisheng Sun,

Feng Yang,

Lijun Chen,

Jing Wang,

Punit Shah,

Seong Won,

Paul Aiyetan,

Sunghee Woo,

Yuan Tian,

Marina Gritsenko,

Therese RW Clauss,

Caitlin H. Choi,

Matthew Monroe,

Stefani N. Thomas,

Song Nie,

Chaochao Wu,

Ronald J. Moore,

KunHsing Yu,

David L. Tabb,

David Fenyö,

Vineet Bafna,

Yue Wang,

Henry Rodriguez,

Emily S. Boja,

Tara Hiltke,

Robert Rivers,

Lori J. Sokoll,

Heng Zhu,

IeMing Shih,

Leslie Cope,

Akhilesh Pandey,

Bing Zhang,

M Snyder,

Douglas A. Levine,

Richard Smith,

Daniel W. Chan,

Karin Rodland,

Steven A. Carr,

Michael A. Gillette,

Karl R. Klauser,

Eric Kuhn,

D.R. Mani,

Philipp Mertins,

Karen A. Ketchum,

Ratna R. Thangudu,

Shuang Cai,

Mauricio Oberti,

Amanda G. Paulovich,

Jeffrey R. Whiteaker,

Nathan Edwards,

Peter B. McGarvey,

Subha Madhavan,

Pei Wang,

Gordon A. Whiteley,

Steven J. Skates,

Forest M. White,

Christopher R. Kinsinger,

Mehdi Mesri,

Kenna M. Shaw,

Stephen E. Stein,

Paul A. Rudnick,

Yingming Zhao,

Xian Chen,

David F. Ransohoff,

Andrew N. Hoofnagle,

D.C. Liebler,

Melinda E. Sanders,

Zhiao Shi,

Robbert J.C. Slebos,

Lisa J. Zimmerman,

Sherri R. Davies,

Li Ding,

Matthew J. Ellis,

R. Reid Townsend

Publication year - 2016

Publication title -

cell

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 26.304

H-Index - 776

eISSN - 1097-4172

pISSN - 0092-8674

DOI - 10.1016/j.cell.2016.05.069

Subject(s) - biology , serous ovarian cancer , ovarian cancer , proteogenomics , computational biology , cancer , serous fluid , cancer research , genetics , biochemistry , gene , transcriptome , gene expression

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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