Panel of candidate biomarkers for renal cell carcinoma

Dong Su Kim, Yoon Pyo Choi, Suki Kang, Ming Qing Gao, Baekil Kim, Haeng Ran Park, Youngdeuk 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, Namhoon Cho

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

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 aα, 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.

Original languageEnglish
Pages (from-to)3710-3719
Number of pages10
JournalJournal of Proteome Research
Volume9
Issue number7
DOIs
Publication statusPublished - 2010 Jul 2

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Nicotinamide N-Methyltransferase
Biomarkers
Renal Cell Carcinoma
Cells
Tubulin
Ferritins
Electrophoresis
Immunohistochemistry
Small Interfering RNA
Mass spectrometry
Tumors
Assays
Membrane Proteins
Gels
Tissue
Plasmas
Immunoblotting
ROC Curve
Monitoring
Mass Spectrometry

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Chemistry(all)

Cite this

Kim, Dong Su ; Choi, Yoon Pyo ; Kang, Suki ; Gao, Ming Qing ; Kim, Baekil ; Park, Haeng Ran ; Choi, Youngdeuk ; Lim, Jong Baek ; Na, Hyung Jin ; Kim, Hye Kyung ; Nam, Young Pyo ; Moon, Mi Hyang ; Yun, Hae Ree ; Lee, Dong Hee ; Park, Won Man ; Cho, Namhoon. / Panel of candidate biomarkers for renal cell carcinoma. In: Journal of Proteome Research. 2010 ; Vol. 9, No. 7. pp. 3710-3719.
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abstract = "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 aα, 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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Kim, DS, Choi, YP, Kang, S, Gao, MQ, Kim, B, Park, HR, Choi, Y, Lim, JB, Na, HJ, Kim, HK, Nam, YP, Moon, MH, Yun, HR, Lee, DH, Park, WM & Cho, N 2010, 'Panel of candidate biomarkers for renal cell carcinoma', Journal of Proteome Research, vol. 9, no. 7, pp. 3710-3719. https://doi.org/10.1021/pr100236r

Panel of candidate biomarkers for renal cell carcinoma. / Kim, Dong Su; Choi, Yoon Pyo; Kang, Suki; Gao, Ming Qing; Kim, Baekil; Park, Haeng Ran; Choi, Youngdeuk; Lim, Jong Baek; Na, Hyung Jin; Kim, Hye Kyung; Nam, Young Pyo; Moon, Mi Hyang; Yun, Hae Ree; Lee, Dong Hee; Park, Won Man; Cho, Namhoon.

In: Journal of Proteome Research, Vol. 9, No. 7, 02.07.2010, p. 3710-3719.

Research output: Contribution to journalArticle

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T1 - Panel of candidate biomarkers for renal cell carcinoma

AU - Kim, Dong Su

AU - Choi, Yoon Pyo

AU - Kang, Suki

AU - Gao, Ming Qing

AU - Kim, Baekil

AU - Park, Haeng Ran

AU - Choi, Youngdeuk

AU - Lim, Jong Baek

AU - Na, Hyung Jin

AU - Kim, Hye Kyung

AU - Nam, Young Pyo

AU - Moon, Mi Hyang

AU - Yun, Hae Ree

AU - Lee, Dong Hee

AU - Park, Won Man

AU - Cho, Namhoon

PY - 2010/7/2

Y1 - 2010/7/2

N2 - 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 aα, 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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