Comparative proteomic profiling identifies potential prognostic factors for human clear cell renal cell carcinoma

Sun,Xiang; Zhang,Hongwei; Luo,Longhua; Zhong,Kezhao; Ma,Yushui; Fan,Linlin; Fu,Da; Wan,Lijuan

doi:10.3892/or.2016.5159

December-2016 Volume 36 Issue 6

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December-2016 Volume 36 Issue 6

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Article Open Access

Comparative proteomic profiling identifies potential prognostic factors for human clear cell renal cell carcinoma

Authors:
- Xiang Sun
- Hongwei Zhang
- Longhua Luo
- Kezhao Zhong
- Yushui Ma
- Linlin Fan
- Da Fu
- Lijuan Wan
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Affiliations: Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China, Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Shanghai Jiao Tong University School of Medicine/Chinese Academy of Sciences, Shanghai 200025, P.R. China, Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, P.R. China, Department of Pharmacy, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China, The Second Department of Internal Medicine, Cancer Hospital of Jiangxi Province, Nanchang, Jiangxi 330029, P.R. China

Copyright: © Sun et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Pages: 3131-3138
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Published online on: October 11, 2016

https://doi.org/10.3892/or.2016.5159
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Abstract

The identification of markers for disease diagnostic, prognostic, or predictive purposes will have a great effect in improving patient management. Proteomic‑based approaches for biomarker discovery are promising strategies used in cancer research. In this study, we performed quantitative proteomic analysis on four patients including clear cell renal cell carcinoma (ccRCC) and paired adjacent non‑cancerous renal tissues using label‑free quantitative proteomics and liquid chromatography‑tandem mass spectrometry (LC‑MS/MS) to identify differentially expressed proteins. Among 3,061 identified non‑redundant proteins, we found that 210 proteins were differentially expressed (83 overexpressed and 127 underexpressed) in ccRCC tissue when compared with normal kidney tissues. Two most significantly dysregulated proteins (PCK1 and SNRPF) were chosen to be confirmed by western blotting. Pathway analysis of 210 differentially expressed proteins showed that dysregulated proteins are related to many cancer‑related biological processes such as oxidative phosphorylation, glycolysis and amino acid synthetic pathways. Online survival analysis indicated the prognostic value of these dysregulated proteins. In conclusion, we identified some potential diagnostic biomarkers for ccRCC and an in‑depth understanding of their involved biological pathways may help pave the way to discover new therapeutic strategies for ccRCC.

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1	Rini BI, Campbell SC and Escudier B: Renal cell carcinoma. Lancet. 373:1119–1132. 2009. View Article : Google Scholar : PubMed/NCBI
2	Znaor A, Lortet-Tieulent J, Laversanne M, Jemal A and Bray F: International variations and trends in renal cell carcinoma incidence and mortality. Eur Urol. 67:519–530. 2015. View Article : Google Scholar : PubMed/NCBI
3	Ljungberg B: The role of metastasectomy in renal cell carcinoma in the era of targeted therapy. Curr Urol Rep. 14:19–25. 2013. View Article : Google Scholar : PubMed/NCBI
4	Singer EA, Gupta GN, Marchalik D and Srinivasan R: Evolving therapeutic targets in renal cell carcinoma. Curr Opin Oncol. 25:273–280. 2013.PubMed/NCBI
5	Nelson EC, Evans CP and Lara PN Jr: Renal cell carcinoma: Current status and emerging therapies. Cancer Treat Rev. 33:299–313. 2007. View Article : Google Scholar : PubMed/NCBI
6	Raimondo F, Corbetta S, Chinello C, Pitto M and Magni F: The urinary proteome and peptidome of renal cell carcinoma patients: A comparison of different techniques. Expert Rev Proteomics. 11:503–514. 2014. View Article : Google Scholar : PubMed/NCBI
7	Boersema PJ, Aye TT, van Veen TA, Heck AJ and Mohammed S: Triplex protein quantification based on stable isotope labeling by peptide dimethylation applied to cell and tissue lysates. Proteomics. 8:4624–4632. 2008. View Article : Google Scholar : PubMed/NCBI
8	Neilson KA, Ali NA, Muralidharan S, Mirzaei M, Mariani M, Assadourian G, Lee A, van Sluyter SC and Haynes PA: Less label, more free: Approaches in label-free quantitative mass spectrometry. Proteomics. 11:535–553. 2011. View Article : Google Scholar : PubMed/NCBI
9	Pantuck AJ, Zisman A and Belldegrun AS: The changing natural history of renal cell carcinoma. J Urol. 166:1611–1623. 2001. View Article : Google Scholar : PubMed/NCBI
10	Feldstein MS, Rhodes DJ, Parker AS, Orford RR and Castle EP: The haphazard approach to the early detection of asymptomatic renal cancer: Results from a contemporary executive health programme. BJU Int. 104:53–56. 2009. View Article : Google Scholar : PubMed/NCBI
11	Siu KWM, DeSouza LV, Scorilas A, Romaschin AD, Honey RJ, Stewart R, Pace K, Youssef Y, Chow TF and Yousef GM: Differential protein expressions in renal cell carcinoma: New biomarker discovery by mass spectrometry. J Proteome Res. 8:3797–3807. 2009. View Article : Google Scholar : PubMed/NCBI
12	White NM, Masui O, Desouza LV, Krakovska O, Metias S, Romaschin AD, Honey RJ, Stewart R, Pace K, Lee J, et al: Quantitative proteomic analysis reveals potential diagnostic markers and pathways involved in pathogenesis of renal cell carcinoma. Oncotarget. 5:506–518. 2014. View Article : Google Scholar : PubMed/NCBI
13	Atrih A, Mudaliar MA, Zakikhani P, Lamont DJ, Huang JT, Bray SE, Barton G, Fleming S and Nabi G: Quantitative proteomics in resected renal cancer tissue for biomarker discovery and profiling. Br J Cancer. 110:1622–1633. 2014. View Article : Google Scholar : PubMed/NCBI
14	Raimondo F, Corbetta S, Savoia A, Chinello C, Cazzaniga M, Rocco F, Bosari S, Grasso M, Bovo G, Magni F, et al: Comparative membrane proteomics: A technical advancement in the search of renal cell carcinoma biomarkers. Mol Biosyst. 11:1708–1716. 2015. View Article : Google Scholar : PubMed/NCBI
15	Wang M, You J, Bemis KG, Tegeler TJ and Brown DP: Label-free mass spectrometry-based protein quantification technologies in proteomic analysis. Brief Funct Genomics Proteomics. 7:329–339. 2008. View Article : Google Scholar
16	Aebersold R and Mann M: Mass spectrometry-based proteomics. Nature. 422:198–207. 2003. View Article : Google Scholar : PubMed/NCBI
17	Old WM, Meyer-Arendt K, Aveline-Wolf L, Pierce KG, Mendoza A, Sevinsky JR, Resing KA and Ahn NG: Comparison of label-free methods for quantifying human proteins by shotgun proteomics. Mol Cell Proteomics. 4:1487–1502. 2005. View Article : Google Scholar : PubMed/NCBI

Journals

International Journal of Molecular Medicine

International Journal of Oncology

Molecular Medicine Reports

Oncology Reports

Experimental and Therapeutic Medicine

Oncology Letters

Biomedical Reports

Molecular and Clinical Oncology

World Academy of Sciences Journal

International Journal of Functional Nutrition

International Journal of Epigenetics

Medicine International

Comparative proteomic profiling identifies potential prognostic factors for human clear cell renal cell carcinoma

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