Literature DB >> 10612291

Protein abundance alterations in matched sets of macroscopically normal colon mucosa and colorectal carcinoma.

J Stulík1, K Koupilova, J Osterreicher, J Knízek, A Macela, J Bures, P Jandík, F Langr, K Dedic, P R Jungblut.   

Abstract

Our current results, aimed at the detection of protein abundance alterations that could be associated with the process of colon tumorigenesis, are summarized. The matched sets of macroscopically normal colon mucosa and colorectal carcinoma were examined by a one- or two-dimensional electrophoretic approach and proteins were identified using immunoblotting or mass spectrometry. The following results were observed: The levels of liver fatty acid-binding protein, actin-binding protein/smooth muscle protein 22-alpha and cyclooxygenase 2 were downregulated in colorectal carcinoma compared to normal colon mucosa. Conversely, the expression of a novel variant of heat shock protein70 and several members of the S100 protein family of calcium-binding proteins (two isoforms of S100A9, S100A8, S100A11 and S100A6) were upregulated in transformed colon mucosa. Despite the variations of the levels of expression of given protein among analyzed samples, all quantitative changes were found to be statistically significant (Mann-Whitney test assuming p < or = 0.05). We conclude that the proteomic approach is useful for the study of complex biological events underlying the process of colorectal tumorigenesis.

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Year:  1999        PMID: 10612291     DOI: 10.1002/(SICI)1522-2683(19991201)20:18<3638::AID-ELPS3638>3.0.CO;2-W

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  20 in total

1.  High expression of S100A11 in pancreatic adenocarcinoma is an unfavorable prognostic marker.

Authors:  Ming-Bing Xiao; Feng Jiang; Wen-Kai Ni; Bu-You Chen; Cui-Hua Lu; Xiao-Yan Li; Run-Zhou Ni
Journal:  Med Oncol       Date:  2011-09-13       Impact factor: 3.064

2.  A four-gene signature predicts disease progression in muscle invasive bladder cancer.

Authors:  Wun-Jae Kim; Seon-Kyu Kim; Pildu Jeong; Seok-Joong Yun; In-Chang Cho; Isaac Yi Kim; Sung-Kwon Moon; Hong-Duck Um; Yung Hyun Choi
Journal:  Mol Med       Date:  2011-02-04       Impact factor: 6.354

Review 3.  Moving forward in colorectal cancer research, what proteomics has to tell.

Authors:  Nerea Bitarte; Eva Bandrés; Ruth Zárate; Natalia Ramirez; Jesus Garcia-Foncillas
Journal:  World J Gastroenterol       Date:  2007-11-28       Impact factor: 5.742

4.  Colorectal cancer progression correlates with upregulation of S100A11 expression in tumor tissues.

Authors:  Guiyu Wang; Xishan Wang; Shuhuai Wang; Hongtao Song; Haiming Sun; Weiguang Yuan; Bo Cao; Jing Bai; Songbin Fu
Journal:  Int J Colorectal Dis       Date:  2008-03-14       Impact factor: 2.571

5.  Undifferentiated pelvic adenocarcinomas: diagnostic potential of protein profiling and multivariate analysis.

Authors:  U J Roblick; F G Bader; C Lenander; U Hellman; K Zimmermann; S Becker; A Ost; A Alaiya; H-P Bruch; R Keller; L Mirow; B Franzén; T Ried; G Auer; J K Habermann
Journal:  Int J Colorectal Dis       Date:  2008-02-22       Impact factor: 2.571

Review 6.  Review of S100A9 biology and its role in cancer.

Authors:  Joseph Markowitz; William E Carson
Journal:  Biochim Biophys Acta       Date:  2012-11-01

7.  S100A11, an dual mediator for growth regulation of human keratinocytes.

Authors:  Masakiyo Sakaguchi; Hiroyuki Sonegawa; Hitoshi Murata; Midori Kitazoe; Jun-ichiro Futami; Ken Kataoka; Hidenori Yamada; Nam-ho Huh
Journal:  Mol Biol Cell       Date:  2007-10-31       Impact factor: 4.138

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

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

9.  Involvement of potential pathways in malignant transformation from oral leukoplakia to oral squamous cell carcinoma revealed by proteomic analysis.

Authors:  Zhi Wang; Xiaodong Feng; Xinyu Liu; Lu Jiang; Xin Zeng; Ning Ji; Jing Li; Longjiang Li; Qianming Chen
Journal:  BMC Genomics       Date:  2009-08-19       Impact factor: 3.969

10.  Identification of S100A8-correlated genes for prediction of disease progression in non-muscle invasive bladder cancer.

Authors:  Seon-Kyu Kim; Eun-Jung Kim; Sun-Hee Leem; Yun-Sok Ha; Yong-June Kim; Wun-Jae Kim
Journal:  BMC Cancer       Date:  2010-01-25       Impact factor: 4.430

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