Literature DB >> 26300425

Comparative analysis of primary hepatocellular carcinoma with single and multiple lesions by iTRAQ-based quantitative proteomics.

Xiaohua Xing1, Yao Huang2, Sen Wang3, Minhui Chi1, Yongyi Zeng1, Lihong Chen1, Ling Li1, Jinhua Zeng1, Minjie Lin3, Xiao Han4, Xiaolong Liu5, Jingfeng Liu6.   

Abstract

In clinical practices, the therapeutic outcomes and prognosis of hepatocellular carcinoma (HCC) patients with different tumor numbers after surgery are very different; however, the underlying mechanisms of the tumorigenesis and development of HCC with different tumor numbers are still not well understood. Here, we systematically compared the overall proteome profiles between the primary HCC with single and multiple lesions using iTRAQ-based quantitative proteomics approach. We identified that 107 and 330 proteins were dysregulated in HCC tissue with multiple lesions (MC group) and HCC tissue with a single lesion (SC group), compared with their non-cancerous tissue (MN and SN groups) respectively. The dysregulated proteins in MC group are concentrated in UBC signaling pathway and NFκB signaling pathway, but the dysregulated proteins in SC group are more concentrated in ERK signaling pathway and the NFκB signaling pathway. These information revealed that there might be different molecular mechanisms of the tumorigenesis and development of the HCC with single and multiple lesions. Furthermore, HSD17B13 were only down-regulated in MC group while HK2 were only up-regulated in SC group among these dysregulated proteins. Therefore, the protein HSD17B13 and HK2 might be potential biomarkers for the primary HCC with single and multiple lesions.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  HSD17B13; Hexokinase 2; Primary HCC with a single lesion; Primary HCC with multiple lesions; Quantitative proteomics

Mesh:

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Year:  2015        PMID: 26300425     DOI: 10.1016/j.jprot.2015.08.007

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  9 in total

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Journal:  J Cancer       Date:  2021-03-30       Impact factor: 4.207

3.  Tim29 is a novel subunit of the human TIM22 translocase and is involved in complex assembly and stability.

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Journal:  Elife       Date:  2016-08-24       Impact factor: 8.140

4.  DNA methylation landscape of hepatoblastomas reveals arrest at early stages of liver differentiation and cancer-related alterations.

Authors:  Mariana Maschietto; Tatiane Cristina Rodrigues; André Yoshiaki Kashiwabara; Érica Sara Souza de Araujo; Talita Ferreira Marques Aguiar; Cecilia Maria Lima da Costa; Isabela Werneck da Cunha; Luciana Dos Reis Vasques; Monica Cypriano; Helena Brentani; Silvia Regina Caminada de Toledo; Peter Lees Pearson; Dirce Maria Carraro; Carla Rosenberg; Ana C V Krepischi
Journal:  Oncotarget       Date:  2016-12-25

5.  Comparative proteomics of side population cells derived from human hepatocellular carcinoma cell lines with varying metastatic potentials.

Authors:  Hongzhi Liu; Yingchao Wang; Xiaohua Xing; Ying Sun; Dahai Wei; Geng Chen; Qinying Liu; Shanshan Chen; Xiaolong Liu; Jingfeng Liu
Journal:  Oncol Lett       Date:  2018-05-08       Impact factor: 2.967

6.  4E-BP1Thr46 Phosphorylation Association with Poor Prognosis in Quantitative Phosphoproteomics of Portal Vein Tumor Thrombus Revealed that 4E-BP1Thr46 Phosphorylation is Associated with Poor Prognosis in HCC.

Authors:  Xincong Lin; Yao Huang; Ying Sun; Xionghong Tan; Jiahe Ouyang; Bixing Zhao; Yingchao Wang; Xiaohua Xing; Jingfeng Liu
Journal:  Cancer Manag Res       Date:  2020-01-07       Impact factor: 3.989

7.  Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions.

Authors:  Xiaohua Xing; Yao Huang; Sen Wang; Minhui Chi; Yongyi Zeng; Lihong Chen; Ling Li; Jinhua Zeng; Minjie Lin; Xiao Han; Jingfeng Liu; Xiaolong Liu
Journal:  Data Brief       Date:  2015-09-08

8.  Quantitative proteomics reveals FLNC as a potential progression marker for the development of hepatocellular carcinoma.

Authors:  Yingzi Qi; Feng Xu; Lingsheng Chen; Yanchang Li; Zhongwei Xu; Yao Zhang; Wei Wei; Na Su; Tao Zhang; Fengxu Fan; Xing Wang; Xue Qin; Lingqiang Zhang; Yinkun Liu; Ping Xu
Journal:  Oncotarget       Date:  2016-10-18

9.  Quantitative Secretome Analysis Reveals Clinical Values of Carbonic Anhydrase II in Hepatocellular Carcinoma.

Authors:  Xiaohua Xing; Hui Yuan; Hongzhi Liu; Xionghong Tan; Bixing Zhao; Yingchao Wang; Jiahe Ouyang; Minjie Lin; Xiaolong Liu; Aimin Huang
Journal:  Genomics Proteomics Bioinformatics       Date:  2021-03-02       Impact factor: 7.691

  9 in total

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