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Panel of candidate biomarkers for renal cell carcinoma

 Dong Su Kim  ;  Yoon Pyo Choi  ;  Suki Kang  ;  Ming Qing Gao  ;  Baekil Kim  ;  Haeng Ran Park  ;  Young Deuk Choi  ;  Jong Baek Lim  ;  Hyung Jin Na  ;  Hye Kyung Kim  ;  Young-Pyo Nam  ;  Mi Hyang Moon  ;  Hae Ree Yun  ;  Dong Hee Lee  ;  Won-Man Park  ;  Nam Hoon Cho 
 JOURNAL OF PROTEOME RESEARCH, Vol.9(7) : 3710-3719, 2010 
Journal Title
Issue Date
Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor/analysis ; Biomarkers, Tumor/metabolism* ; Carcinoma, Renal Cell/diagnosis ; Carcinoma, Renal Cell/metabolism* ; Cell Line, Tumor ; Cluster Analysis ; Down-Regulation ; Electrophoresis, Gel, Two-Dimensional ; Female ; Humans ; Immunoblotting ; Immunohistochemistry ; Kidney Neoplasms/diagnosis ; Kidney Neoplasms/metabolism* ; Male ; Membrane Proteins/analysis ; Membrane Proteins/metabolism ; Middle Aged ; Nicotinamide N-Methyltransferase/analysis ; Nicotinamide N-Methyltransferase/metabolism* ; Proteome/analysis ; Proteome/metabolism* ; ROC Curve ; Reproducibility of Results ; Up-Regulation
ferritin light chain ; human neuron specific enolase ; nicotinamide N-methyltransferase ; proteome ; Renal cell carcinoma ; tumor markers
The timely diagnosis and therapeutic monitoring of human renal cell carcinoma (RCC) is limited by the lack of specific biomarkers. To identify candidate RCC biomarkers, we used 2-DE gel electrophoresis with mass spectrometry and 2-DE spot intensity-based ROC analysis to analyze 18 sets of paired normal and RCC tumor tissue including conventional, papillary, and chromophobe subtypes. Validation was performed with RCC patient plasma samples and confirmed by clustergram, shRNA, and immunohistochemistry assays. Cardinal candidates were evaluated by ELISA. The leading candidate biomarker that was upregulated in RCC samples according to the clustergram and validation analysis was nicotinamide N-methyltransferase (NNMT) (13/15, P < 0.0001). Other upregulated candidate biomarkers that were identified by this method include ferritin, hNSE, NM23, secretagogin, and L-plastin. The upregulation of NNMT in RCC was confirmed by immunoblotting and immunohistochemistry. Analysis of fractionated membrane-associated proteins identified CAP-G, mitofillin, tubulin alpha, RBBP7, and HSP27. Of these, RBBP7 and HSP27 were highly expressed in the chromophobe subtype of RCC (3/3) but were absent from conventional RCC (0/3). The triple combination of the NNMT, FTL, and hNSE biomarkers had the highest predictive capacity of 0.993, while NNMT was the single, most powerful candidate diagnostic biomarker for all types of RCC.
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1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Kang, Suki(강숙희) ORCID logo https://orcid.org/0000-0002-9957-3479
Gao, Ming Qing(고명청)
Kim, Baek Gil(김백길) ORCID logo https://orcid.org/0000-0001-6270-1433
Park, Haeng Ran(박행란)
Lim, Jong Baeck(임종백) ORCID logo https://orcid.org/0000-0003-0419-0422
Cho, Nam Hoon(조남훈) ORCID logo https://orcid.org/0000-0002-0045-6441
Choi, Young Deuk(최영득) ORCID logo https://orcid.org/0000-0002-8545-5797
Choi, Yoon Pyo(최윤표)
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