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Metabolism-related enzyme alterations identified by proteomic analysis in human renal cell carcinoma

Authors Lu Z, Yao Y, Song Q, Yang J, Zhao X, Yang P, Kang J

Received 7 July 2015

Accepted for publication 23 December 2015

Published 9 March 2016 Volume 2016:9 Pages 1327—1337


Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Manfred Beleut

Peer reviewer comments 3

Editor who approved publication: Professor Daniele Santini

Zejun Lu,1,* Yuqin Yao,2,* Qi Song,3 Jinliang Yang,4 Xiangfei Zhao,1 Ping Yang,1 Jingbo Kang1

1Department of Radiation Oncology, Naval General Hospital of People’s Liberation Army, Beijing, 2Research Center for Public Health and Preventive Medicine, West China School of Public Health/No 4 West China Teaching Hospital, Sichuan University, Chengdu, 3Department of Gynaecology and Obstetrics, The General Hospital of Chinese People’s Armed Police Force, Beijing, 4State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, People’s Republic of China

*These authors contributed equally to this work

Abstract: The renal cell carcinoma (RCC) is one of the most common types of kidney neoplasia in Western countries; it is relatively resistant to conventional chemotherapy and radiotherapy. Metabolic disorders have a profound effect on the degree of malignancy and treatment resistance of the tumor. However, the molecular characteristics related to impaired metabolism leading to the initiation of RCC are still not very clear. In this study, two-dimensional electrophoresis (2-DE) and mass spectra (MS) technologies were utilized to identify the proteins involved in energy metabolism of RCC. A total of 73 proteins that were differentially expressed in conventional RCC, in comparison with the corresponding normal kidney tissues, were identified. Bioinformatics analysis has shown that these proteins are involved in glycolysis, urea cycle, and the metabolic pathways of pyruvate, propanoate, and arginine/proline. In addition, some were also involved in the signaling network of p53 and FAS. These results provide some clues for new therapeutic targets and treatment strategies of RCC.

Keywords: renal cell cancer, metabolism, two-dimensional electrophoresis, proteome

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