Literature DB >> 16327996

Different expression of calgizzarin (S100A11) in normal colonic epithelium, adenoma and colorectal carcinoma.

Christian Melle1, Günther Ernst, Bettina Schimmel, Annett Bleul, Henning Mothes, Roland Kaufmann, Utz Settmacher, Ferdinand Von Eggeling.   

Abstract

The aim of the study was to detect proteomic markers usable to distinguish colorectal carcinoma from colon adenoma for a better understanding of the molecular mechanisms in the process of tumourigenesis. Therefore, we microdissected colon carcinoma tissue, epithelial colon adenoma tissue as well as normal adjacent colon epithelium and determined protein profiles by SELDI-TOF MS. A multitude of significantly different signals was detected. For their identification colon biopsis were lysed and subjected to a two-dimensional gel electrophoresis for separation. Subsequently, we identified nearly 100 proteins by tryptic digestion, peptide fingerprint mapping and database search. Calgizzarin (S100A11; S100C) identified by peptide fingerprint mapping correlated very well with a significantly differentially expressed signal found in prior protein profiling. Using an immunodepletion assay we confirmed the identity of this signal as calgizzarin. To localise calgizzarin in tissues we performed immunohistochemistry. For further confirmation of the identity of calgizzarin we re-analysed IHC-positive as well as IHC-negative tissue sections on ProteinChip arrays. This work demonstrates that biomarkers in colorectal cancer can be detected, identified and assessed by a proteomic approach comprising tissue-microdissection, protein profiling and immunological techniques.

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Year:  2006        PMID: 16327996

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  23 in total

1.  Sorbitol dehydrogenase overexpression and other aspects of dysregulated protein expression in human precancerous colorectal neoplasms: a quantitative proteomics study.

Authors:  Anuli Uzozie; Paolo Nanni; Teresa Staiano; Jonas Grossmann; Simon Barkow-Oesterreicher; Jerry W Shay; Amit Tiwari; Federico Buffoli; Endre Laczko; Giancarlo Marra
Journal:  Mol Cell Proteomics       Date:  2014-02-24       Impact factor: 5.911

2.  Proteomic analysis of primary colon cancer-associated fibroblasts using the SELDI-ProteinChip platform.

Authors:  Zhan-Huai Wang; Ke-Feng Ding; Jie-Kai Yu; Xiao-Hui Zhai; Shu-Qin Ruan; Shan-Wei Wang; Yong-Liang Zhu; Shu Zheng; Su-Zhan Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2012-03       Impact factor: 3.066

3.  S100A11 is a potential prognostic marker for clear cell renal cell carcinoma.

Authors:  Manal Gabril; Hala Girgis; Andreas Scorilas; Fabio Rotondo; Samantha Wala; Georg A Bjarnason; Qiang Ding; Andrew Evans; Eriny Tawedrous; Maria Pasic; Antonio Finelli; Sahar Al-Haddad; George M Yousef
Journal:  Clin Exp Metastasis       Date:  2016-01       Impact factor: 5.150

Review 4.  Contributions of advanced proteomics technologies to cancer diagnosis.

Authors:  Sergio Ciordia; Vivian de Los Ríos; Juan-Pablo Albar
Journal:  Clin Transl Oncol       Date:  2006-08       Impact factor: 3.405

5.  Identification of cellular targets in human intrahepatic cholangiocarcinoma using laser microdissection and accurate mass and time tag proteomics.

Authors:  Alexandre Dos Santos; Magali Court; Valérie Thiers; Sokhavuth Sar; Catherine Guettier; Didier Samuel; Christian Bréchot; Jérôme Garin; France Demaugre; Christophe D Masselon
Journal:  Mol Cell Proteomics       Date:  2010-05-31       Impact factor: 5.911

Review 6.  Novel translational strategies in colorectal cancer research.

Authors:  Ignacio Gil-Bazo
Journal:  World J Gastroenterol       Date:  2007-11-28       Impact factor: 5.742

7.  Mass spectrometry protein expression profiles in colorectal cancer tissue associated with clinico-pathological features of disease.

Authors:  Christopher C L Liao; Nicholas Ward; Simon Marsh; Tan Arulampalam; John D Norton
Journal:  BMC Cancer       Date:  2010-08-06       Impact factor: 4.430

Review 8.  Proteomics for discovery of candidate colorectal cancer biomarkers.

Authors:  Paula Alvarez-Chaver; Olalla Otero-Estévez; María Páez de la Cadena; Francisco J Rodríguez-Berrocal; Vicenta S Martínez-Zorzano
Journal:  World J Gastroenterol       Date:  2014-04-14       Impact factor: 5.742

9.  Rad54B targeting to DNA double-strand break repair sites requires complex formation with S100A11.

Authors:  Ulrike Murzik; Peter Hemmerich; Stefanie Weidtkamp-Peters; Tobias Ulbricht; Wendy Bussen; Julia Hentschel; Ferdinand von Eggeling; Christian Melle
Journal:  Mol Biol Cell       Date:  2008-05-07       Impact factor: 4.138

10.  Microarray-based cancer prediction using soft computing approach.

Authors:  Xiaosheng Wang; Osamu Gotoh
Journal:  Cancer Inform       Date:  2009-05-26
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