Literature DB >> 21136991

Comprehensive profiling of metastasis-related proteins in paired hepatocellular carcinoma cells with different metastasis potentials.

Peiming Song1, Huimin Bao, Yanbao Yu, Yan Xue, Dong Yun, Yang Zhang, Yufei He, Yinkun Liu, Qingping Liu, Haojie Lu, Huizhi Fan, Jianhua Luo, Pengyuan Yang, Xian Chen.   

Abstract

Precise and comprehensive identifications of the proteins associated with metastasis are critical for early diagnosis and therapeutic intervention of hepatocellular carcinoma (HCC). Therefore, we investigated the proteomic differences between a pair of HCC cell lines, originating from the same progenitor, with different metastasis potential using amino acid-coded mass tagging-based LC-MS/MS quantitative proteomic approach. Totally the relative abundance of 336 proteins in these cell lines were quantified, in which 121 proteins were upregulated by >30%, and 64 proteins were downregulated by >23% in the cells with high metastasis potential. Further validation studies by Western blotting in a series of HCC cell types with progressively increasing trend of metastasis showed that peroxiredoxin 4, HSP90β and HSP27 were positively correlated with increasing metastasis while prohibitin was negatively correlated with metastasis potential. These validation results were also consistent with that obtained from comparative analysis of clinic tissues samples. Function annotations of differentially expressed HCC proteome suggested that the emergence and development of high metastasis involved the dysregulation of cell migration, cell cycle and membrane traffics. Together our results revealed a much more comprehensive profile than that from 2-DE-based method and provided more global insights into the mechanisms of HCC metastasis and potential markers for clinical diagnosis.
Copyright © 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2009        PMID: 21136991     DOI: 10.1002/prca.200780131

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  7 in total

Review 1.  Glycosylation and liver cancer.

Authors:  Anand Mehta; Harmin Herrera; Timothy Block
Journal:  Adv Cancer Res       Date:  2015-02-07       Impact factor: 6.242

2.  (1)H-NMR-based metabolomics of tumor tissue for the metabolic characterization of rat hepatocellular carcinoma formation and metastasis.

Authors:  Juan Wang; Shu Zhang; Zongfang Li; Jun Yang; Chen Huang; Rongrui Liang; Zhongwei Liu; Rui Zhou
Journal:  Tumour Biol       Date:  2010-10-04

Review 3.  The search for biomarkers of hepatocellular carcinoma and the impact on patient outcome.

Authors:  Alyson P Black; Anand S Mehta
Journal:  Curr Opin Pharmacol       Date:  2018-05-14       Impact factor: 5.547

Review 4.  Biomarkers: What Role Do They Play (If Any) for Diagnosis, Prognosis and Tumor Response Prediction for Hepatocellular Carcinoma?

Authors:  James J Harding; Danny N Khalil; Ghassan K Abou-Alfa
Journal:  Dig Dis Sci       Date:  2019-04       Impact factor: 3.199

5.  Dynamic expression patterns of differential proteins during early invasion of hepatocellular carcinoma.

Authors:  Rong-Xin Chen; Hai-Yan Song; Yin-Ying Dong; Chao Hu; Qiong-Dan Zheng; Tong-Chun Xue; Xiao-Hui Liu; Yang Zhang; Jie Chen; Zheng-Gang Ren; Yin-Kun Liu; Jie-Feng Cui
Journal:  PLoS One       Date:  2014-03-10       Impact factor: 3.240

6.  Overexpression of PRDX4 Modulates Tumor Microenvironment and Promotes Urethane-Induced Lung Tumorigenesis.

Authors:  Jianbo Zheng; Xin Guo; Yuka Nakamura; Xiaolei Zhou; Reimon Yamaguchi; Jing Zhang; Yasuhito Ishigaki; Hidetaka Uramoto; Sohsuke Yamada
Journal:  Oxid Med Cell Longev       Date:  2020-12-28       Impact factor: 6.543

7.  Spatial Proteomic Analysis of Isogenic Metastatic Colorectal Cancer Cells Reveals Key Dysregulated Proteins Associated with Lymph Node, Liver, and Lung Metastasis.

Authors:  Guillermo Solís-Fernández; Ana Montero-Calle; Javier Martínez-Useros; Álvaro López-Janeiro; Vivian de Los Ríos; Rodrigo Sanz; Jana Dziakova; Elena Milagrosa; María Jesús Fernández-Aceñero; Alberto Peláez-García; José Ignacio Casal; Johan Hofkens; Susana Rocha; Rodrigo Barderas
Journal:  Cells       Date:  2022-01-27       Impact factor: 6.600

  7 in total

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