Altered Proteome of Extracellular Vesicles Derived from Bladder Cancer Patients Urine
Jingyun Lee1, Kimberly Q. McKinney1, Antonis J. Pavlopoulos1, Meng Niu1, Jung Won Kang3,
Jae Won Oh2, Kwang Pyo Kim2,*, and Sunil Hwang1,*
1Proteomics Laboratory for Clinical and Translational Research, Carolinas HealthCare System, Charlotte, NC 28203, United
States, 2Department of Applied Chemistry, The Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials,
Kyung Hee University, Yongin 17104, Korea, 3Omics Core Laboratory, Research Institute, National Cancer Center, Goyang
10408, Korea
*Correspondence: (SH); (KPK)
Received June 30, 2017; Revised December 6, 2017; Accepted December 20, 2017.; Published online March 9, 2018.
© Korean Society for Molecular and Cellular Biology. All rights reserved.

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Proteomic analysis of extracellular vesicles (EV) from biological fluid is a powerful approach to discovery of potential biomarkers for human diseases including cancers, as EV secreted to biological fluids are originated from the affected tissue. In order to investigate significant molecules related to the pathogenesis of bladder cancer, EVs were isolated from patient urine which was analyzed by mass spectrometry based proteomics. Comparison of the EV proteome to the whole urine proteome demonstrated an increased number of protein identification in EV. Comparative MS analyses of urinary EV from control subjects and bladder cancer patients identified a total of 1,222 proteins. Statistical analyses provided 56 proteins significantly increased in bladder cancer urine, including proteins for which expression levels varied by cancer stage (P-value < 0.05). While urine represents a valuable, noninvasive specimen for biomarker discovery in urologic cancers, there is a high degree of intra- and inter-individual variability in urine samples. The enrichment of urinary EV demonstrated its capability and applicability of providing a focused identification of biologically relevant proteins in urological diseases.
Keywords: biomarker discovery, bladder cancer, para-clinical classification, ultracentrifugation, urinary extracellular vesicles

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28 February 2018 Volume 41,
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