alexa Multi-parameter Systematic Strategy Opinion That Predicts, Prevents, And Personalized Treats A Cancer
ISSN: 2161-1025

Translational Medicine
Open Access

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2nd International Conference on Translational & Personalized Medicine
August 05-07, 2013 Holiday Inn Chicago-North Shore, IL, USA

Xianquan Zhan
Accepted Abstracts: Transl Med
DOI: 10.4172/2161-1025.S1.010
Abstract
Caner is a complex whole-body disease that alters in the levels of gene, protein, and metabolite, and that involves multi- factors, multi-processes, and multi-consequences. Individual variation is involved in each stage of prediction/prevention, early-stage diagnosis/therapy, and late-stage diagnosis/therapy. The development of omics and systems biology has promoted one to gradually change paradigms in oncology from traditional single factor strategy to multi-parameter systematic strategy. The therapeutic model of cancer has changed from the general radiotherapy and chemotherapy to personalized strategy. The development of predictive, preventive and personalized medicine will substantially change the understanding, prediction, prevention, and therapeutic model of a cancer from a systematical and comprehensive point of view in the future.
Biography
Xianquan Zhan obtained his M.D. and Ph.D. degree at the West China University of Medical Sciences, and received his post-doctoral training in cancer proteomics at the Hunan Medical University in China. Since 2001, where he had continuously worked at the University of Tennessee Health Science Center and the Cleveland Clinic in the United States, where he focused on mass spectrometry, proteomics, and biomarker studies, and achieved the rank of Associate Professor at the University of Tennessee Health Science Center in 2010. Currently, he is a Professor at the Central South University Xiangya Hospital in China, the National Representative in China of EPMA, Associate Editors of BMC Genomics and of BMC Medical Genomics. He has published 62 peer-reviewed research articles, 5 book chapters, and 1 US patent. His current main research interest focuses on the studies of disease proteomics, biomarkers and structural biology, and the development and use of omics techniques for cancer predictive, preventive, and personalized medicine.
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