Literature DB >> 20807235

Proteomic mining in the dysplastic liver of WHV/c-myc mice--insights and indicators for early hepatocarcinogenesis.

Yansheng Liu1, Chen Li, Zhen Xing, Xingyu Yuan, Yi Wu, Mengjie Xu, Kang Tu, Qingrun Li, Chaochao Wu, Mujun Zhao, Rong Zeng.   

Abstract

Because of the asymptomatic process of carcinogenesis, the early detection of cancers such as hepatocellular carcinoma (HCC) is very challenging. Tumor-prone transgenic mouse models of oncogenesis can provide a stable and powerful tool for the analysis of cancer initiation, and are therefore promising for the discovery of early putative biomarkers of HCC. Using a label-free proteomic quantification strategy, we comprehensively investigated the protein expression profile in the livers of three 2-month-old WHV/c-myc mice at the dysplastic stage, with age-matched wt-C57 mice as controls. We identified 2781 proteins, 540 of which were differentially expressed. These proteins successfully characterized certain precancerous biological processes and alterations in transcriptional regulators before tumor onset. Two candidates, FK506-binding protein 4 (FKBP52) and ferritin heavy chain, were taken as examples for a search from the mouse model to clinical human tissues. Their levels in serum samples were determined by western blotting, and showed a noteworthy ability to distinguish between HCC and control cases. Immunohistochemical analysis with tissue microarrays confirmed the differential expression of FKBP52 between HCC and the paired controls (P < 0.001). The regulation of FKBP52 was also discovered to be relevant to HCC staging, with a dramatic decline at stage III (P < 0.05). The potentials of the candidate pool in this study were discussed in terms of delineating c-myc-induced hepatocarcinogenesis and facilitating biomarker discovery for early HCC diagnosis. Journal compilation
© 2010 FEBS. No claim to original Chinese government works.

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Year:  2010        PMID: 20807235     DOI: 10.1111/j.1742-4658.2010.07795.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  14 in total

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4.  Differential Proteomic Analysis of Hepatocellular Carcinomas from Ppp2r5d Knockout Mice and Normal (Knockout) Livers.

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Journal:  Cancer Genomics Proteomics       Date:  2020 Nov-Dec       Impact factor: 4.069

5.  Transcriptome Based Estrogen Related Genes Biomarkers for Diagnosis and Prognosis in Non-small Cell Lung Cancer.

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6.  Dysfunction of PLA2G6 and CYP2C44-associated network signals imminent carcinogenesis from chronic inflammation to hepatocellular carcinoma.

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Authors:  Yansheng Liu; Jing Chen; Atul Sethi; Qing K Li; Lijun Chen; Ben Collins; Ludovic C J Gillet; Bernd Wollscheid; Hui Zhang; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2014-04-16       Impact factor: 5.911

10.  Elevated FKBP52 expression indicates a poor outcome in patients with breast cancer.

Authors:  Chaoqun Hong; Ting Li; Fan Zhang; Xiao Wu; Xipeng Chen; Xiaojiang Cui; Guojun Zhang; Yukun Cui
Journal:  Oncol Lett       Date:  2017-08-25       Impact factor: 2.967

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