Literature DB >> 17412869

Comparative proteomic analysis for the detection of biomarkers in pancreatic ductal adenocarcinomas.

T Qi1, J Han, Y Cui, M Zong, X Liu, B Zhu.   

Abstract

AIMS: To search for novel potential protein biomarkers for the early detection and better intervention of pancreatic ductal adenocarcinoma (PDAC).
METHODS: Eight pairs of matched PDAC and non-cancerous pancreas tissues were profiled with two-dimensional electrophoresis; differentially expressed proteins were identified by mass spectrometry. Expression patterns of TBX4 (T-box transcription factor TBX4) and HSP60 (60 KDa heat shock protein) were studied with immunohistochemistry using tissue microarrays.
RESULTS: A total of 48 differentially expressed proteins were identified; 30 of them are novel potential biomarkers. Immunohistochemistry showed that TBX4 expression could be seen in both centroacinar cells and small ducts in normal pancreas and tumour cells in 5/5 (100%) well differentiated, 35/38 (92.1%) moderately differentiated, and 11/18 (61.1%) poorly differentiated PDAC tissues with different staining intensity. However, in normal acinar cells and tumour cells in the other 3/38 (7.9%) moderately differentiated and 7/18 (38.9%) poorly differentiated PDAC tissues, there was no visible TBX4 expression. The expression difference of TBX4 between moderately differentiated and poorly differentiated PDAC tissues was statistically significant (p<0.01). In addition, there was obvious morphology difference between TBX4 negatively stained and positively stained tumour cells, which suggests different cellular origins. Strong expression of HSP60 could be seen in both acinar cells and small ducts in normal pancreas tissues and tumour cells in PDAC tissues except for islets and tumour stoma; no correlation was found between HSP60 expression and differentiation of PDAC tissues.
CONCLUSIONS: 30 novel potential biomarkers differentially expressed in PDAC tissues were identified. TBX4 may be a differentiation related protein; its prognostic value for PDAC deserves further study.

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Year:  2007        PMID: 17412869     DOI: 10.1136/jcp.2006.044735

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  12 in total

1.  Proteomic profiling identified multiple short-lived members of the central proteome as the direct targets of the addicted oncogenes in cancer cells.

Authors:  Tonggang Qi; Wei Zhang; Yun Luan; Feng Kong; Dawei Xu; Guanghui Cheng; Yunshan Wang
Journal:  Mol Cell Proteomics       Date:  2013-10-08       Impact factor: 5.911

2.  Identification of prohibitin 1 as a potential prognostic biomarker in human pancreatic carcinoma using modified aqueous two-phase partition system combined with 2D-MALDI-TOF-TOF-MS/MS.

Authors:  Ning Zhong; Yazhou Cui; Xiaoyan Zhou; Tianliang Li; Jinxiang Han
Journal:  Tumour Biol       Date:  2014-10-25

3.  The proteome of normal pancreatic juice.

Authors:  Courtney J Doyle; Kyle Yancey; Henry A Pitt; Mu Wang; Kerry Bemis; Michele T Yip-Schneider; Stuart T Sherman; Keith D Lillemoe; Michael D Goggins; C Max Schmidt
Journal:  Pancreas       Date:  2012-03       Impact factor: 3.327

4.  Low expression of TBX4 predicts poor prognosis in patients with stage II pancreatic ductal adenocarcinoma.

Authors:  Meijuan Zong; Meng Meng; Liang Li
Journal:  Int J Mol Sci       Date:  2011-08-03       Impact factor: 5.923

5.  Separation and identification of HSP-associated protein complexes from pancreatic cancer cell lines using 2D CN/SDS-PAGE coupled with mass spectrometry.

Authors:  Zhiyun Zhao; Hui Liu; Xinli Wang; Xiaodong Wang; Zhili Li
Journal:  J Biomed Biotechnol       Date:  2011-10-19

Review 6.  Genetic and molecular alterations in pancreatic cancer: implications for personalized medicine.

Authors:  Yantian Fang; Qizhi Yao; Zongyou Chen; Jianbin Xiang; Fisher E William; Richard A Gibbs; Changyi Chen
Journal:  Med Sci Monit       Date:  2013-10-31

7.  Expression of novel tumor markers of pancreatic adenocarcinomas in intrahepatic cholangiocarcinomas.

Authors:  Meijuan Zong; Lei Jia; Liang Li
Journal:  Onco Targets Ther       Date:  2013-01-11       Impact factor: 4.147

Review 8.  The current state of proteomics in GI oncology.

Authors:  Ying Lin; William S Dynan; Jeffrey R Lee; Zhao-Hua Zhu; Robert R Schade
Journal:  Dig Dis Sci       Date:  2008-12-23       Impact factor: 3.199

9.  Proteomic analysis identifies MMP-9, DJ-1 and A1BG as overexpressed proteins in pancreatic juice from pancreatic ductal adenocarcinoma patients.

Authors:  Mei Tian; Ya-Zhou Cui; Guan-Hua Song; Mei-Juan Zong; Xiao-Yan Zhou; Yu Chen; Jin-Xiang Han
Journal:  BMC Cancer       Date:  2008-08-16       Impact factor: 4.430

10.  Screening technologies for target identification in pancreatic cancer.

Authors:  Patrick Michl; Stefanie Ripka; Thomas Gress; Malte Buchholz
Journal:  Cancers (Basel)       Date:  2010-12-29       Impact factor: 6.639

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