Z
Zhen Zhang
Researcher at Johns Hopkins University
Publications - 224
Citations - 16297
Zhen Zhang is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Cancer & Medicine. The author has an hindex of 57, co-authored 189 publications receiving 13444 citations. Previous affiliations of Zhen Zhang include Medical University of South Carolina & Children's National Medical Center.
Papers
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Journal ArticleDOI
Proteogenomic characterization of human colon and rectal cancer
Bing Zhang,Jing Wang,Xiaojing Wang,Jing Zhu,Qi Liu,Zhiao Shi,Matthew C. Chambers,Lisa J. Zimmerman,Kent Shaddox,Sangtae Kim,Sherri R. Davies,Sean Wang,Pei Wang,Christopher R. Kinsinger,Robert Rivers,Henry Rodriguez,R. Reid Townsend,Matthew J. Ellis,Steven A. Carr,Steven A. Carr,David L. Tabb,Robert J. Coffey,Robbert J.C. Slebos,Daniel C. Liebler,Michael A. Gillette,Karl R. Klauser,Eric Kuhn,D. R. Mani,Philipp Mertins,Karen A. Ketchum,Amanda G. Paulovich,Jeffrey R. Whiteaker,Nathan Edwards,Peter B. McGarvey,Subha Madhavan,Daniel W. Chan,Akhilesh Pandey,Ie Ming Shih,Hui Zhang,Zhen Zhang,Heng Zhu,Gordon Whiteley,Steven J. Skates,Forest M. White,Douglas A. Levine,Emily S. Boja,Tara Hiltke,Mehdi Mesri,Kenna M. Shaw,Stephen E. Stein,David Fenyö,Tao Liu,Jason E. McDermott,Samuel H. Payne,Karin D. Rodland,Richard D. Smith,Paul A. Rudnick,Michael Snyder,Yingming Zhao,Xian Chen,David F. Ransohoff,Andrew N. Hoofnagle,Melinda E. Sanders,Yue Wang,Li Ding +64 more
TL;DR: Integrated proteogenomic analysis provides functional context to interpret genomic abnormalities and affords a new paradigm for understanding cancer biology.
Journal ArticleDOI
Three biomarkers identified from serum proteomic analysis for the detection of early stage ovarian cancer
Zhen Zhang,Robert C. Bast,Yinhua Yu,Jinong Li,Lori J. Sokoll,Alex J. Rai,Jason M. Rosenzweig,Bonnie Cameron,Young Y. Wang,Xiao Ying Meng,Andrew Berchuck,Carolien van Haaften-Day,Neville F. Hacker,Henk W.A. de Bruijn,Ate G.J. van der Zee,Ian Jacobs,Eric T. Fung,Daniel W. Chan +17 more
TL;DR: These biomarkers demonstrated the potential to improve the detection of early stage ovarian cancer by demonstrating the sensitivity and specificity of a multivariate model combining the three biomarkers.
Journal ArticleDOI
Proteomics and Bioinformatics Approaches for Identification of Serum Biomarkers to Detect Breast Cancer
TL;DR: Proteomics approaches such as SELDI mass spectrometry, in conjunction with bioinformatics tools, could greatly facilitate the discovery of new and better biomarkers and show great potential for the early detection of breast cancer.
Journal ArticleDOI
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
Hui Zhang,Tao Liu,Zhen Zhang,Samuel H. Payne,Bai Zhang,Jason E. McDermott,Jian-Ying Zhou,Vladislav A. Petyuk,Li Chen,Debjit Ray,Shisheng Sun,Feng Yang,Lijun Chen,Jing Wang,Punit Shah,Seong Won Cha,Paul Aiyetan,Sunghee Woo,Yuan Tian,Marina A. Gritsenko,Therese R. W. Clauss,Caitlin H. Choi,Matthew E. Monroe,Stefani N. Thomas,Song Nie,Chaochao Wu,Ronald J. Moore,Kun-Hsing Yu,David L. Tabb,David Fenyö,Vineet Bafna,Yue Wang,Henry Rodriguez,Emily S. Boja,Tara Hiltke,Robert Rivers,Lori J. Sokoll,Heng Zhu,Ie Ming Shih,Leslie Cope,Akhilesh Pandey,Bing Zhang,Michael Snyder,Douglas A. Levine,Richard D. Smith,Daniel W. Chan,Karin D. 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 Whiteley,Steven J. Skates,Forest M. White,Christopher R. Kinsinger,Mehdi Mesri,Kenna M. Shaw,Stephen E. Stein,Paul A. Rudnick,Michael Snyder,Yingming Zhao,Xian Chen,David F. Ransohoff,Andrew N. Hoofnagle,Daniel 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 +84 more
TL;DR: 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 is provided.
Patent
Computer assisted methods for diagnosing diseases
Stephen D. Barnhill,Zhen Zhang +1 more
TL;DR: The simultaneous multi access reasoning technology system of as discussed by the authors utilizes both existing knowledge and implicit information that can be numerically extracted from training data to provide a method and apparatus for diagnosing disease and treating a patient.