Research Papers:

Comparative proteomic analysis of human serum before and after liver transplantation using quantitative proteomics

Ruohan Zhang, Minglin Ou, Yue Zhang, Qiang Yan, Huaizhou Chen, Liusheng Lai, Ying Li, Feilong Xu, Donge Tang, Xuyong Sun, Jianhui Dong, Yong Dai _ and Weiguo Sui

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Oncotarget. 2019; 10:2508-2514. https://doi.org/10.18632/oncotarget.26761

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Ruohan Zhang1, Minglin Ou1, Yue Zhang1, Qiang Yan1, Huaizhou Chen1, Liusheng Lai1, Ying Li1, Feilong Xu1, Donge Tang2, Xuyong Sun3, Jianhui Dong3, Yong Dai2 and Weiguo Sui1

1Guangxi Key Laboratory of Metabolic Diseases Research, Nephrology Department of Guilin 924st Hospital, Guilin, Guangxi 541002, P.R. China

2Clinical Medical Research Center, The Second Clinical Medical College of Jinan University, Shenzhen People’s Hospital, Shenzhen, Guangdong 518020, P.R. China

3Guangxi Key Laboratory for Transplantation Medicine Guangxi, Institute of Transplant Medicine, Department of Organ Transplantation in Guangzhou Military Region, 923st Hospital, Nannning 530021, P.R. China

Correspondence to:

Yong Dai, email: [email protected]

Weiguo Sui, email: [email protected]

Keywords: liver transplantation; proteomics; iTRAQ; protein markers; pathway

Received: June 19, 2018    Accepted: February 01, 2019    Published: April 02, 2019


Liver cancer is the second leading cause of cancer mortality worldwide. Safer and more effective diagnostic methods for liver cancer are desirable, and biomarkers represent a potentially alternative method for diagnosis. The present study was designed to identify liver cancer biomarkers. We quantified the changes in serum protein levels between liver transplantation and healthy (control) females using isobaric tags for relative and absolute quantitation (iTRAQ) as well as proteomic analysis. A total of 1399 proteins were identified; of these, three proteins showed significantly different concentrations between the before transplantation group and the control group. These proteins may thus be relevant to liver cancer and constitute potential liver cancer biomarkers.

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