Literature DB >> 23462207

Proteomic differences between hepatocellular carcinoma and nontumorous liver tissue investigated by a combined gel-based and label-free quantitative proteomics study.

Dominik A Megger1, Thilo Bracht, Michael Kohl, Maike Ahrens, Wael Naboulsi, Frank Weber, Andreas-Claudius Hoffmann, Christian Stephan, Katja Kuhlmann, Martin Eisenacher, Jörg F Schlaak, Hideo A Baba, Helmut E Meyer, Barbara Sitek.   

Abstract

Proteomics-based clinical studies have been shown to be promising strategies for the discovery of novel biomarkers of a particular disease. Here, we present a study of hepatocellular carcinoma (HCC) that combines complementary two-dimensional difference in gel electrophoresis (2D-DIGE) and liquid chromatography (LC-MS)-based approaches of quantitative proteomics. In our proteomic experiments, we analyzed a set of 14 samples (7 × HCC versus 7 × nontumorous liver tissue) with both techniques. Thereby we identified 573 proteins that were differentially expressed between the experimental groups. Among these, only 51 differentially expressed proteins were identified irrespective of the applied approach. Using Western blotting and immunohistochemical analysis the regulation patterns of six selected proteins from the study overlap (inorganic pyrophosphatase 1 (PPA1), tumor necrosis factor type 1 receptor-associated protein 1 (TRAP1), betaine-homocysteine S-methyltransferase 1 (BHMT)) were successfully verified within the same sample set. In addition, the up-regulations of selected proteins from the complements of both approaches (major vault protein (MVP), gelsolin (GSN), chloride intracellular channel protein 1 (CLIC1)) were also reproducible. Within a second independent verification set (n = 33) the altered protein expression levels of major vault protein and betaine-homocysteine S-methyltransferase were further confirmed by Western blots quantitatively analyzed via densitometry. For the other candidates slight but nonsignificant trends were detectable in this independent cohort. Based on these results we assume that major vault protein and betaine-homocysteine S-methyltransferase have the potential to act as diagnostic HCC biomarker candidates that are worth to be followed in further validation studies.

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Year:  2013        PMID: 23462207      PMCID: PMC3708182          DOI: 10.1074/mcp.M113.028027

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  88 in total

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2.  Serum alpha-fetoprotein levels in patients with advanced hepatitis C: results from the HALT-C Trial.

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Journal:  J Proteome Res       Date:  2012-02-03       Impact factor: 4.466

4.  Multicenter prospective analysis of newly diagnosed hepatocellular carcinoma with respect to the percentage of Lens culinaris agglutinin-reactive alpha-fetoprotein.

Authors:  H Oka; A Saito; K Ito; T Kumada; S Satomura; H Kasugai; Y Osaki; T Seki; M Kudo; M Tanaka
Journal:  J Gastroenterol Hepatol       Date:  2001-12       Impact factor: 4.029

5.  Serum protein biomarkers screening in HCC patients with liver cirrhosis by ICAT-LC-MS/MS.

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6.  Quantitative proteomic signature of liver cancer cells: tissue transglutaminase 2 could be a novel protein candidate of human hepatocellular carcinoma.

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Journal:  Mol Cell Proteomics       Date:  2007-10-14       Impact factor: 5.911

8.  2-D DIGE profiling of hepatocellular carcinoma tissues identified isoforms of far upstream binding protein (FUBP) as novel candidates in liver carcinogenesis.

Authors:  Ramdzan M Zubaidah; Gek San Tan; Sandra B E Tan; Seng Gee Lim; Qingsong Lin; Maxey C M Chung
Journal:  Proteomics       Date:  2008-12       Impact factor: 3.984

Review 9.  MVP and vaults: a role in the radiation response.

Authors:  Pedro C Lara; Martin Pruschy; Martina Zimmermann; Luis Alberto Henríquez-Hernández
Journal:  Radiat Oncol       Date:  2011-10-31       Impact factor: 3.481

10.  Alpha 1-antitrypsin and survival in hepatocellular carcinoma.

Authors:  A Tzonou; L Sparos; V Kalapothaki; X Zavitsanos; A Rebelakos; D Trichopoulos
Journal:  Br J Cancer       Date:  1990-01       Impact factor: 7.640

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2.  Methylcrotonyl-CoA Carboxylase Regulates Triacylglycerol Accumulation in the Model Diatom Phaeodactylum tricornutum.

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Journal:  Mol Cell Proteomics       Date:  2017-09-26       Impact factor: 5.911

4.  The Canonical Immediate Early 3 Gene Product pIE611 of Mouse Cytomegalovirus Is Dispensable for Viral Replication but Mediates Transcriptional and Posttranscriptional Regulation of Viral Gene Products.

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5.  Label-free Proteomic Analysis of Exosomes Derived from Inducible Hepatitis B Virus-Replicating HepAD38 Cell Line.

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6.  Quantitative proteomics and phosphoproteomics on serial tumor biopsies from a sorafenib-treated HCC patient.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

7.  Altered methylation of specific DNA loci in the liver of Bhmt-null mice results in repression of Iqgap2 and F2rl2 and is associated with development of preneoplastic foci.

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Journal:  FASEB J       Date:  2017-02-08       Impact factor: 5.191

8.  Identification of Differential Protein Expression in Hepatocellular Carcinoma Induced Wistar Albino Rats by 2D Electrophoresis and MALDI-TOF-MS Analysis.

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

Authors:  Caroline Lambrecht; Gabriela Bomfim Ferreira; Judit DomÈnech Omella; Louis Libbrecht; Rita DE Vos; Rita Derua; Chantal Mathieu; Lut Overbergh; Etienne Waelkens; Veerle Janssens
Journal:  Cancer Genomics Proteomics       Date:  2020 Nov-Dec       Impact factor: 4.069

10.  Immunohistochemical Markers Distinguishing Cholangiocellular Carcinoma (CCC) from Pancreatic Ductal Adenocarcinoma (PDAC) Discovered by Proteomic Analysis of Microdissected Cells.

Authors:  Juliet Padden; Maike Ahrens; Julia Kälsch; Stefanie Bertram; Dominik A Megger; Thilo Bracht; Martin Eisenacher; Peri Kocabayoglu; Helmut E Meyer; Bence Sipos; Hideo A Baba; Barbara Sitek
Journal:  Mol Cell Proteomics       Date:  2015-12-07       Impact factor: 5.911

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